CN104123332B - The display methods and device of search result - Google Patents

Abstract

The invention discloses a search result display method and device. Wherein, the method includes: recording historical search data, wherein the historical search data includes: historical search terms, historical query results corresponding to each historical search term and the number of historical clicks of each historical query result; After the word, use the current search term to query in the historical search data to obtain multiple search results corresponding to the current search term; determine the click weight value of each search result according to the historical click times of each historical query result; Multiple search results corresponding to the word are sequentially displayed in the display menu according to the click weight value of each search result. Through the present invention, the search efficiency of search results can be improved and the accuracy is higher.

Description

Method and device for displaying search results

technical field

The invention relates to the field of data search processing, in particular to a method and device for displaying search results.

Background technique

In the prior art, the basic working principle of a search engine includes the following three processes: first, save the collected search result information in the database; at the same time, extract and organize the information to build an index database; Quickly check out documents in the index library, evaluate the relevance between documents and queries, sort the results to be output, and return the query results to the user.

Specifically, what the existing search engines provide is a retrieval service. When a user searches for information with keywords, the search engine will search in the database. If it finds content that matches the content requested by the user, it usually calculates the relevance and ranking level of each matching content based on the matching degree of keywords in the webpage. Then return these matching results to the user in order according to the degree of relevance.

This full-text search engine can display content matching the search results according to keyword matching, but because each search needs to traverse all matching objects, the search efficiency is low, and it cannot satisfy users to find the content they need faster.

Aiming at the problem that the keyword-matching search method of the above-mentioned related technologies cannot provide more efficient search results, no effective solution has been proposed yet.

Contents of the invention

Embodiments of the present invention provide a method and device for displaying search results to at least solve the technical problem that the search method using keyword matching in the related art cannot provide more efficient search results.

According to an aspect of an embodiment of the present invention, a method for displaying search results is provided, the method including: recording historical search data, wherein the historical search data includes: historical search words, historical query results corresponding to each historical search word and The number of historical clicks of each historical query result; after obtaining the current search term entered by the user, use the current search term to query in the historical search data to obtain multiple search results corresponding to the current search term; according to each historical query result The number of historical clicks determines the click weight value of each search result; multiple search results corresponding to the current search word are displayed in the display menu in sequence according to the click weight value of each search result.

According to another aspect of the embodiments of the present invention, there is also provided a search result display device, which includes: a saving module for recording historical search data, wherein the historical search data includes: historical search words, each historical search The historical query results corresponding to the word and the historical click times of each historical query result; the processing module is used to query the historical search data using the current search word after obtaining the current search word input by the user, and obtain the current search word corresponding A plurality of search results; a determination module, used to determine the click weight value of each search result according to the historical click times of each historical query result; a display processing module, used to combine the multiple search results corresponding to the current search term according to each The click weight values of the search results are displayed sequentially in the display menu.

In the embodiment of the present invention, record historical search data is used, wherein the historical search data includes: historical search words, historical query results corresponding to each historical search word and the number of historical clicks of each historical query result; After the current search term, use the current search term to query the historical search data to obtain multiple search results corresponding to the current search term; determine the click weight value of each search result according to the historical click times of each historical query result; Multiple search results corresponding to the current search term are sequentially displayed in the display menu according to the click weight value of each search result. By adopting the search result method of learning the user's historical search behavior, after inputting the current search term, The corresponding search results can be found more accurately based on the existing historical search data, because the above process is based on a further precise query of an effective query result, and the display order of the current search results can be determined according to the number of clicks on the historical search results, Therefore, the search results displayed in the display menu are more accurate, which achieves the purpose that the user can more easily search for the content to be queried, thereby achieving the technical effect of improving the search efficiency and higher accuracy of the search results, and then solving related problems. The technical problem is that the keyword matching search method cannot provide more efficient search results.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

FIG. 1 is a schematic structural diagram of a search result display device according to Embodiment 1 of the present invention;

FIG. 2 is a schematic structural diagram of another optional search result display device according to Embodiment 1 of the present invention;

FIG. 3 is a schematic structural diagram of another optional search result display device according to Embodiment 1 of the present invention;

FIG. 4 is a schematic structural diagram of yet another optional search result display device according to Embodiment 1 of the present invention;

FIG. 5 is a schematic structural diagram of yet another optional search result display device according to Embodiment 1 of the present invention; and

FIG. 6 is a schematic flowchart of a method for displaying search results according to Embodiment 2 of the present invention.

Detailed ways

It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

Example 1

Before describing further details of various embodiments of the present application, one suitable computing device architecture that may be used to implement the principles of the present application will be described with reference to FIG. 1 . In the following description, unless indicated otherwise, various embodiments of the present application are described with reference to acts and symbolic representations of operations that are performed by one or more computers. It will thus be appreciated that such acts and operations, which are sometimes referred to as computer-implemented, include the manipulation of electrical signals representing data in a structured form by the processing unit of a computer. This manipulation transforms the data or maintains it at a location in the computer's memory system, which reconfigures or changes the operation of the computer in a manner well understood by those skilled in the art. A data structure that maintains data is a physical location in memory that has specific properties defined by the format of the data. However, although the present application is described in the above context, it is not meant to be limiting, and as those skilled in the art understand, the acts and aspects of operations described hereinafter may also be implemented in hardware.

In its most basic configuration, FIG. 1 is a schematic structural diagram of a device for displaying search results according to Embodiment 1 of the present invention. The architecture depicted is only one example of a suitable environment for descriptive purposes and is not intended to suggest any limitation as to the scope of use or functionality of the application. Neither should the computing system be interpreted as having any dependency or requirement relating to any one or combination of components shown in FIG. 1 .

As shown in FIG. 1 , the device for displaying the search results may include: a saving module 11 , a processing module 13 , a determination module 15 and a display processing module 17 .

Wherein, preservation module 11 is used for recording historical search data, and wherein, historical search data comprises: historical search term, the historical query result corresponding to each historical search term and the historical click times of each historical query result; Processing module 13, with After obtaining the current search term input by the user, use the current search term to inquire in the historical search data, and obtain a plurality of search results corresponding to the current search term; the determination module 15 is used to determine the number of clicks according to the history of each historical query result to determine the click weight value of each search result; the display processing module 17 is configured to sequentially display multiple search results corresponding to the current search word in the display menu according to the click weight value of each search result.

In the device embodiment provided by the above-mentioned first embodiment of the present application, the historical search data obtained by recording the user's historical search behavior is recorded through the saving module 11, and after obtaining the current search word input by the user, the historical search data can be retrieved through the processing module 13. Query the search result corresponding to the current search term in the data. At this time, the determination module 15 will determine the click weight value of the search result obtained by querying in the above-mentioned processing module 13 according to the historical click times of the historical query result, so that the display processing module 17 will According to the click weight value, multiple search results obtained by searching for the current search word are displayed in sequence in the display menu.

The above solution uses the method of learning the search results of the user's historical search behavior, so that after the current search word is entered, the corresponding search results can be found more accurately based on the existing historical search data, because the above process is based on an effective Further precise query of query results, and the display order of current search results can be determined according to the number of clicks of historical search results, so the search results displayed in the display menu are more accurate, so that users can more easily search for the content they want to query The purpose of this method is to achieve the technical effect of improving the search efficiency and higher accuracy of the search results, and further solve the technical problem that the search method using keyword matching in related technologies cannot provide more efficient search results.

Specifically, the historical search data in the above-mentioned embodiments of the present application may be saved in the form of a keyword mapping table, specifically, as shown in Table 1 below:

Table 1

It can be seen from the above that the above historical search data is a result of automatic learning by the system, and may include: historical search words, historical query results corresponding to each historical search word, and historical click times of each historical query result. The historical search data recorded in the data table here may be the query result obtained by using the keyword matching method.

Preferably, as shown in FIG. 2, in an optional embodiment provided in the first embodiment of the present application, the processing module 13 may include:

The matching module 131 is configured to match the current search term with each historical search term in the historical search data to obtain a historical search term set corresponding to the current search term, wherein the historical search term set is at least A historical search term.

The query module 132 is configured to use the historical query results corresponding to each historical search term in the historical search term set as multiple search results corresponding to the current search term.

Specifically, the above embodiments of the present application acquire the search results of the current search term based on the historical search data obtained from the user's historical search behavior. That is, when the user inputs the search term again, at first, the matching module 131 can be used to match each historical search term in the historical search data to obtain the historical search term matched by the current search term to form a set of historical search terms corresponding to the current search term .

It should be noted here that, the matching condition for matching each historical search term of the above current search term is to query the historical search term including the current search term. Inclusion here can be further limited to the fact that the current search term is completely consistent with the historical search term, or that the current search term is at the top of the historical search term. For example, taking the historical search terms provided in Table 1 as an example, if the current search term is "a", then the historical search terms matching the current search term include: "al", "an" and "a".

After obtaining the set of historical search terms matching the current search term, multiple search results corresponding to the current search term can be obtained. The search results are the historical query results contained in the set of historical search terms. For example, it is still provided in Table 1 For example, after obtaining the historical search words "al", "an" and "a" matched by the current search word, a set of matching historical query results "all" can be obtained from Table 1 through the query module 132 ", "angela" and "andie", this group of historical query results is the search results of the current search term.

Preferably, as shown in FIG. 3 , in an optional embodiment provided by the first embodiment of the present application, the determination module 15 may include: a reading module 151 and an obtaining module 152 .

The reading module 151 is configured to read the historical click times of each historical query result in the historical search word set from the historical search data. For example, still taking the historical search terms provided in Table 1 as an example, the historical query results of "all", "angela" and "andie" obtained by the current search term "a" are 4, 2 and 1 time, where, since there are two historical search terms "al" and "a" matching "a", the historical clicks of the historical search term corresponding to the current search term "a" are "al" and "a" "'s historical click count.

The obtaining module 152 is configured to multiply the historical click times of each historical query result in the historical search word set by the corresponding click weight coefficient to obtain the click weight value of each search result corresponding to the current search word. For example, still taking the historical search words provided in Table 1 as an example, the click weight coefficients can be set to 3 in advance. Therefore, the click weight values of the three historical query results corresponding to the current search word "a" are "12", " 6" and "3".

Specifically, the above-mentioned embodiment uses the reading module 151 and the acquisition module 152 to determine the number of click weights corresponding to the current search term, and establishes the association between the search keyword of the user's current search behavior and the historical click behavior, so that a current search term can be established. The index list of , specifically as shown in Table 2:

Table 2

It can be seen from the above that after the user enters the current search term, the corresponding search results can be obtained by using the historical search data automatically learned by the system, that is, the search results for the current search term "a" include: "all", "angela" and "andie", the click weight values are: 4 times, 2 times and 1 time respectively. Among them, if the historical query results corresponding to the historical search term "al" and "a" matched by the current search term "a" are both "all", then the historical click times of the historical query results corresponding to the two historical search terms to add up.

As shown in FIG. 4, in an optional embodiment provided by the first embodiment of the present application, the display processing module 17 includes:

The sorting module 171 is configured to sort each search result in descending order according to the click weight value to obtain a set of search results sorted in descending order.

The display module 172 is configured to display the first N search results in the search result set in the first display area of the display menu according to the sorting position, and display the search results other than the first N search results in the second display area of the display menu in the area. Specifically, the above-mentioned first display area can be said to be the frequently used area of the user, that is, the search results with the highest click probability learned by the system according to the historical search data. This area can be located in the drop-down menu of the search input box, that is, in the The position most likely to be seen by the user is to display the top few search results, for example, 3, while other search results can be placed in the second display area, that is, the system learns according to the historical search data, and the user For search results with a low probability of being clicked, the position of the second display area can be optimally arranged according to the layout of the display screen.

The display forms of the above-mentioned first display area and the second display area are not limited in the present invention.

It should be further noted that the above device may also include: a setting module, configured to set the click weight value of the first search result to set to zero.

Specifically, since the system has learned from historical search data, the search results displayed in the first display area are all results with a higher search probability in the historical records, but the results will change with the user's usage habits, and the system will record The number of clicks by the user on the search results displayed in the first display area. If it is detected that the number of clicks of any search result in the first display area has not been clicked for n consecutive times (for example, 5 times), it is considered that the current search result is no longer available. When the user selects the search result, the system can reset the click weight value to 0, then the next time the user performs a search, the search result will no longer be displayed in the first display area, and can be placed in the second display area. If the user wants to obtain the search result, he can inquire in the second display area.

Preferably, in the first embodiment, as shown in FIG. 5 , after the display processing module 17 executes and finishes sorting and displaying the search results in the display menu according to the click weight value of each search result, the above-mentioned device may further include:

A detection module 191, configured to detect whether a plurality of search results displayed in the display menu are clicked;

The calculation module 192 is configured to, after detecting that any one of the multiple search results in the display menu is clicked, add the click weight value of the clicked search result in the display menu to a first weight value, and display the menu The click weight values of the search results that have not been clicked are decremented by the second weight value.

Specifically, the above-mentioned first weight value may be set to 3, the second weight value may be set to 1, and the two weight values may be adjusted according to requirements.

It needs to be further explained here that, in an optional embodiment provided by the first embodiment of the present application, the above-mentioned saving module 11 may include: a first sub-saving module 111, configured to record the historical search words input by the user ; The second sub-save module 112 is used to record the historical query results corresponding to each historical search term after obtaining the historical query results according to the historical search term query; the third sub-save module 113 is used to detect that the historical query results are Click to record the number of clicks on historical query results. The above-mentioned saving module is the learning process of the system for the historical search data.

Example 2

According to an embodiment of the present invention, a method embodiment for implementing the above-mentioned device embodiment is also provided. It should be noted that the steps shown in the flow charts of the drawings can be implemented in a computer system such as a set of computer-executable instructions and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

FIG. 6 is a schematic flowchart of a method for displaying search results according to Embodiment 2 of the present invention.

As shown in Figure 6, the method for displaying the search results may include the following implementation steps:

Step S60, recording historical search data, wherein the historical search data includes: historical search words, historical query results corresponding to each historical search word, and historical click times of each historical query result.

The historical search data in step S60 may be the search data in which the terminal records the local historical search behavior, or it may be template-style historical search data imported by an external device.

Step S62, after obtaining the current search term input by the user, use the current search term to query the historical search data, and obtain multiple search results corresponding to the current search term.

This step S62 is to use the search data of the user's past search behavior to determine the search results of the current search behavior. Since the current search results are based on historical search data, the process of full-text matching search is eliminated, and the search efficiency is improved. higher.

Step S64, according to the historical click times of each historical query result, determine the click weight value of each search result.

In step S66, multiple search results corresponding to the current search word are sequentially displayed in the display menu according to the click weight value of each search result.

The above steps S64-S66 use the number of clicks on the past historical search results to determine the search behavior of the current search word to obtain the display order of the search results, so that the user can find the desired search results and their corresponding specific content faster.

It can be seen that, in the method embodiment provided in the second embodiment of the present application, the historical search data obtained by recording the user's historical search behavior, and after obtaining the current search word input by the user, can query the current search data in the historical search data. At this time, the system will determine the click weight value of the search results obtained by the above search behavior according to the historical click times of the historical query results, so that the system will display them in order in the display menu according to the click weight value Multiple search results for the current search term.

The above solution uses the method of learning the search results of the user's historical search behavior, so that after the current search word is entered, the corresponding search results can be found more accurately based on the existing historical search data, because the above process is based on an effective Further precise query of query results, and the display order of current search results can be determined according to the number of clicks of historical search results, so the search results displayed in the display menu are more accurate, so that users can more easily search for the content they want to query Therefore, the technical effect of improving the accuracy of the search results is achieved, and then the technical problem that the search method using keyword matching in related technologies cannot provide more efficient search results is solved.

Specifically, the historical search data in the above-mentioned embodiments of the present application may be saved in the form of a keyword mapping table, specifically, as shown in Table 1 below:

Table 1

It can be seen from the above that the above historical search data is a result of automatic learning by the system, and may include: historical search words, historical query results corresponding to each historical search word, and historical click times of each historical query result. The historical search data recorded in the data table here may be the query result obtained by using the keyword matching method.

Preferably, in the second embodiment of the present application, step S62 uses the current search term to query the historical search data, and the step of obtaining multiple search results corresponding to the current search term may include the following implementation methods:

Step S621, matching the current search term with each historical search term in the historical search data to obtain a historical search term set corresponding to the current search term, wherein the historical search term set is at least one historical search term that contains the current search term word.

Step S623, taking the historical query results corresponding to each historical search term in the historical search term set as multiple search results corresponding to the current search term.

Specifically, the above embodiments of the present application acquire the search results of the current search term based on the historical search data obtained from the user's historical search behavior. That is, when the user inputs a search term again, firstly, step S621 is performed to match each historical search term in the historical search data to obtain a historical search term matching the current search term, forming a set of historical search terms corresponding to the current search term.

It should be noted here that, the matching condition for matching each historical search term of the above current search term is to query the historical search term including the current search term. Inclusion here can be further limited to the fact that the current search term is completely consistent with the historical search term, or that the current search term is at the top of the historical search term. For example, taking the historical search terms provided in Table 1 as an example, if the current search term is "a", then the historical search terms matching the current search term include: "al", "an" and "a".

After obtaining the set of historical search terms matching the current search term, multiple search results corresponding to the current search term can be obtained. The search results are the historical query results contained in the set of historical search terms. For example, it is still provided in Table 1 For example, after obtaining the historical search words "al", "an" and "a" matched by the current search word, a set of matching historical query results "all" can be obtained from Table 1 through the query module 132 ", "angela" and "andie", this group of historical query results is the search results of the current search term.

Preferably, in step S64 in the above-mentioned embodiments of the present application, the step of determining the click weight value of each search result according to the historical click times of each historical query result may include the following implementation methods:

Step S641, read the historical click times of each historical query result in the historical search word set from the historical search data.

For example, still taking the historical search terms provided in Table 1 as an example, the historical query results of "all", "angela" and "andie" obtained by the current search term "a" are 4, 2 and 1 time, where, since there are two historical search terms "al" and "a" matching "a", the historical clicks of the historical search term corresponding to the current search term "a" are "al" and "a" "'s historical click count.

Step S643: Multiply the historical click times of each historical query result in the historical search term set by the corresponding click weight coefficient to obtain the click weight value of each search result corresponding to the current search term.

For example, still taking the historical search words provided in Table 1 as an example, the click weight coefficients can be set to 3 in advance. Therefore, the click weight values of the three historical query results corresponding to the current search word "a" are "12", " 6" and "3".

Specifically, the above-mentioned embodiment uses steps S641 and S643 to determine the number of click weights corresponding to the current search term, and establishes the association between the search keyword of the user's current search behavior and the historical click behavior, so that an index list of the current search term can be established , specifically as shown in Table 2:

Table 2

It can be seen from the above that after the user enters the current search term, the corresponding search results can be obtained by using the historical search data automatically learned by the system, that is, the search results for the current search term "a" include: "all", "angela" and "andie", the click weight values are: 4 times, 2 times and 1 time respectively. Among them, if the historical query results corresponding to the historical search term "al" and "a" matched by the current search term "a" are both "all", then the historical click times of the historical query results corresponding to the two historical search terms to add up.

Preferably, in the above-mentioned embodiments of the present application, step S66 sequentially displaying multiple search results corresponding to the current search word in the display menu according to the click weight value of each search result may include the following implementation steps:

In step S661, each search result is sorted in descending order according to the click weight value to obtain a set of search results sorted in descending order.

Step S663, displaying the top N search results in the search result set in the first display area of the display menu according to the sorting position, and displaying the search results other than the top N search results in the second display area of the display menu.

Wherein, if it is detected that the first search result displayed in the first display area has not been clicked more than n times, the click weight value of the first search result is set to zero.

Specifically, the above-mentioned first display area can be said to be the frequently used area of the user, that is, the search results with the highest click probability learned by the system according to the historical search data. This area can be located in the drop-down menu of the search input box, that is, in the The position most likely to be seen by the user is to display the top few search results, for example, 3, while other search results can be placed in the second display area, that is, the system learns according to the historical search data, and the user For search results with a low probability of being clicked, the position of the second display area can be optimally arranged according to the layout of the display screen.

The display forms of the above-mentioned first display area and the second display area are not limited in the present invention.

In the above-mentioned embodiment of the present application, after performing step S66 to display the multiple search results corresponding to the current search term in the display menu in sequence according to the click weight value of each search result, the following implementation steps may also be included:

Step S71 , detecting whether a plurality of search results displayed in the display menu is clicked, wherein after detecting that any one of the plurality of search results in the display menu is clicked, step S73 will be executed.

Step S73, add the click weight value of the clicked search result in the display menu to the first weight value (for example, the accumulated increment value is 3), and decrement the click weight value of the search result that is not clicked in the display menu by the second weight value (e.g. a decrement value of 1).

What needs to be further explained here is that the recording of historical search data in step S60 can be realized through the following implementation steps:

Step S601, recording the historical search words input by the user.

Step S602, after obtaining the historical query results according to the historical search word query, record the historical query results corresponding to each historical search word.

Step S603. If it is detected that the historical query result is clicked, the number of clicks of the historical query result is recorded.

The above step S601 to step S603 realizes the learning process of the system on the historical search data.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. Because of the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is Better implementation. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to enable a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

The present application may also provide a mobile terminal for running any one of the methods for displaying the above search results. That is to say, both the method embodiment and the device embodiment provided by this application can be run in a mobile terminal, and as an application program, complete interest history search data to refine the search results of the user's current search term, providing a good user experience.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

In the above-mentioned embodiments of the present invention, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed client can be implemented in other ways. Wherein, the device embodiments described above are only illustrative, such as the division of units, which is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units or components can be combined or integrated into Another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of units or modules may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage media include: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes. .

The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (10)

1. A method for displaying search results, comprising: Record historical search data, wherein the historical search data includes: historical search terms, historical query results corresponding to each historical search term and the number of historical clicks of each historical query result; After obtaining the current search term input by the user, use the current search term to query in the historical search data, and obtain a plurality of search results corresponding to the current search term; Determine the click weight value of each search result according to the historical click times of each historical query result; Displaying multiple search results corresponding to the current search term in the display menu in sequence according to the click weight value of each search result; Wherein, using the current search term to query in the historical search data, the step of obtaining a plurality of search results corresponding to the current search term includes: matching the current search term with each historical search term in the historical search data to obtain a set of historical search terms corresponding to the current search term, wherein the set of historical search terms includes the current search term at least one historical search term for the search term; Using the historical query results corresponding to each historical search term in the historical search term set as the plurality of search results corresponding to the current search term; Wherein, according to the historical click times of each historical query result, determining the click weight value of each search result includes: the historical search term matched by the current search term has multiple historical search terms, and the multiple historical search terms When the historical query results corresponding to the search words are all the same, the number of historical clicks of the same historical query results corresponding to the multiple historical search words is accumulated to obtain the same historical query results The accumulated historical click times; according to the accumulated historical click times of the historical query results, the click weight value of the same historical query results is determined. 2. The method according to claim 1, wherein, according to the historical click times of each historical query result, the step of determining the click weight value of each search result comprises: Read the historical number of clicks of each historical query result in the historical search term set from the historical search data; The number of historical clicks of each historical query result in the historical search word set is multiplied by the corresponding click weight coefficient to obtain the click weight value of each search result corresponding to the current search word. 3. The method according to claim 1, wherein the step of displaying a plurality of search results corresponding to the current search term in the display menu according to the click weight value of each search result comprises: Sorting each of the search results in descending order according to the click weight value to obtain a set of search results sorted in descending order; Displaying the first N search results in the search result set in the first display area of the display menu according to the sorting position, and displaying the search results other than the first N search results in the first display area of the display menu In the second display area; Wherein, if it is detected that the first search result displayed in the first display area has not been clicked more than n times, the click weight value of the first search result is set to zero. 4. The method according to any one of claims 1-3, characterized in that, after a plurality of search results corresponding to the current search term are displayed in the display menu in sequence according to the click weight value of each search result, the The method also includes: Detect whether a plurality of search results displayed in the display menu are clicked; wherein, After detecting that any one of the plurality of search results in the display menu is clicked, the click weight value of the clicked search result in the display menu is added to the first weight value, and the display menu The click weight values of the search results that have not been clicked are decremented by the second weight value. 5. The method according to claim 1, wherein the step of recording historical search data comprises: Record historical search terms entered by users; After obtaining the historical query result according to the historical search word query, record the historical query result corresponding to each historical search word; If it is detected that the historical query result is clicked, the number of clicks of the historical query result is recorded. 6. A display device for search results, comprising: A saving module, configured to record historical search data, wherein the historical search data includes: historical search terms, historical query results corresponding to each historical search term and the number of historical clicks of each historical query result; A processing module, configured to use the current search term to query historical search data after obtaining the current search term input by the user, and obtain a plurality of search results corresponding to the current search term; Wherein, the processing module includes: A matching module, configured to match the current search term with each historical search term in the historical search data to obtain a historical search term set corresponding to the current search term, wherein the historical search term set is at least one historical search term that includes the current search term; A query module, configured to use the historical query results corresponding to each historical search term in the historical search term set as the plurality of search results corresponding to the current search term; Wherein, the device further includes: a determination module, configured to determine the click weight value of each search result according to the historical click times of each historical query result; Wherein, the determination module is used to determine the click weight value of each search result according to the historical click times of each historical query result through the following steps: the historical search term matched by the current search term has multiple histories When the search term and the historical query results corresponding to the multiple historical search words are the same, the historical click times of the same historical query results corresponding to the multiple historical search words are accumulated to obtain the The accumulated historical click times of the same historical query results; according to the accumulated historical click times of the historical query results, determine the click weight value of the same historical query results; A display processing module, configured to sequentially display multiple search results corresponding to the current search word in a display menu according to the click weight value of each search result. 7. The device according to claim 6, wherein the determining module comprises: A reading module, configured to read the historical click times of each historical query result in the historical search term set from the historical search data; An acquisition module, configured to multiply the number of historical clicks of each historical query result in the historical search word set by the corresponding click weight coefficient to obtain the click weight value of each search result corresponding to the current search word. 8. The device according to claim 6, wherein the display processing module comprises: A sorting module, configured to sort each of the search results in descending order according to the click weight value, to obtain a set of search results sorted in descending order; A display module, configured to display the first N search results in the search result set in the first display area of the display menu according to the sorting position, and display the search results other than the first N search results in the first display area of the display menu. in the second display area of the display menu; The device further includes: a setting module, configured to set the click weight value of the first search result to zero. 9. The device according to any one of claims 6-8, characterized in that, after ordering and displaying the search results in the display menu according to the click weight value of each search result, the device further include: A detection module, configured to detect whether a plurality of search results displayed in the display menu are clicked; A calculation module, configured to add the click weight value of the clicked search result in the display menu to a first weight value after detecting that any one of the multiple search results in the display menu is clicked, and Decrementing the click weight value of the search result that has not been clicked in the display menu by a second weight value. 10. The device according to claim 6, wherein the saving module comprises: The first sub-save module is used to record the historical search words input by the user; The second sub-saving module is used to record the historical query results corresponding to each historical search term after obtaining the historical query results according to the historical search term query; The third sub-storage module is used to record the number of clicks of the historical query results if it is detected that the historical query results are clicked.