CN102542001B - Searching method and system - Google Patents

Abstract

The present invention provides a search method, comprising the following steps: setting a characteristic time point for keywords with time node characteristics in a search word library; receiving a search request from a user, and extracting the current time of the user at the same time; Locate the characteristic time point corresponding to the keyword in the search request in the library; expand the search request according to the relationship between the user's current time and the characteristic time point, and generate an extended search request; according to the extended The search request performs a search and obtains a search result; and outputs the search result. Correspondingly, the present invention also provides a system using the method. The present invention can realize more targeted and efficient presentation of information retrieval results.

Description

A search method and system

technical field

The invention relates to the field of network technology, in particular to a search method and system.

Background technique

With the popularization and development of Internet technology and applications, the Internet has gradually integrated into people's daily life and become an indispensable part of people's work, study, and entertainment. People are becoming more and more accustomed to obtaining information through the Internet.

For generalized keywords in existing search engines, such as weather forecasts, TV dramas, laptops, etc., most of the results returned to users are in the form of links, which cannot provide effective information to users in the first time. Therefore, some search engines have improved the traditional search method, and can directly return the information searched by the user to the user on the search result page through the processing of the data platform and the application platform.

However, for events with a specific time dimension, current search engines cannot provide real-time information updates according to event development. For example, in the current search engine technology, users also use the keyword "World Cup" to search, but in fact, the search results that users want to get before, during and after the World Cup are not the same. For example, before the start of the World Cup, what the user wants to know may be the local customs, grouping situation, team training status of each group, etc.; , goal scorer, video playback, etc.; after the game, you need to see the introduction of the champion winner, the introduction of the Golden Globe or Golden Boot winner, etc. However, it is not currently possible to provide targeted search results for events occurring within a specific time dimension.

Therefore, a new search method is needed, which can automatically determine the data to be displayed according to the user's search time for a certain event, that is, the initiation time of the user's search demand, and give the user different search results at different times when the event occurs. Achieve more targeted and efficient presentation of information retrieval results.

Contents of the invention

The invention provides a search method for realizing more targeted and efficient presentation of information retrieval results.

According to one aspect of the present invention, a search method is provided, characterized in that it includes the following steps:

a) Set characteristic time points for keywords with time node characteristics in the search lexicon;

b) receiving the user's search request and simultaneously extracting the user's current time;

c) Locating the characteristic time point corresponding to the keyword in the search request in the search word library;

d) expanding the search request according to the relationship between the user's current time and the characteristic time point, and generating an extended search request;

e) searching according to the extended search request, and obtaining search results;

f) Outputting the search result.

According to another aspect of the present invention, a search system is provided, including:

A setting device is used to set a characteristic time point for a keyword having a time node characteristic in the search lexicon;

An extracting device, configured to receive a user's search request and simultaneously extract the user's current time;

a locating device, configured to locate, in the search word library, the characteristic time points corresponding to the keywords in the search request;

An expansion device, configured to expand the search request according to the relationship between the user's current time and the characteristic time point, and generate an extended search request;

a search device, configured to search according to the extended search request and obtain search results;

The output device is used for outputting the search result.

The search method and system provided by the present invention set a key time point for keywords with specific time node characteristics, and search the user search request according to the relationship between the specific time point and the user's current time extracted from the user search request. to expand. By expanding the search request, the scope of the search results can be effectively narrowed, and the search results can be locked in the range closest to the actual needs of the user, thereby improving the search accuracy. Through the method and system of the present invention, targeted search results can be provided for events occurring within a specific time dimension range.

Description of drawings

Other characteristics, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

Fig. 1 is a schematic flow chart of a specific embodiment of a search method provided according to the present invention;

FIG. 2 is a schematic flow diagram of step a) of a specific implementation of a search method according to the present invention;

Fig. 3 is a schematic flow chart of step d) of a specific embodiment of a search method provided according to the present invention;

Fig. 4 is a screenshot of a search result output according to a specific embodiment of a search method provided by the present invention.

Fig. 5 is a screen shot of the output of search results according to another embodiment of a search method provided by the present invention.

Fig. 6 is a schematic diagram of a specific embodiment of a search system provided according to the present invention;

Fig. 7 is a schematic diagram of a setting device in a specific embodiment of a search system according to the present invention;

Fig. 8 is a schematic diagram of another specific embodiment of a search system provided according to the present invention;

Fig. 9 is a schematic diagram of an extracting device in a specific implementation manner of a search system according to the present invention.

The same or similar reference numerals in the drawings represent the same or similar components.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Of course, they are only examples and are not intended to limit the invention. Furthermore, the present invention may repeat reference numerals and/or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and/or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily limiting the present invention.

As shown in FIG. 1 , FIG. 1 is a schematic flowchart of a specific implementation of the search method provided by the present invention, including steps S101 to S106 . The method shown in FIG. 1 will be described below in conjunction with specific embodiments.

Step S101, setting a characteristic time point for a keyword having a time node characteristic in the search vocabulary. With the continuous development of search engine technology, more and more query requests are constantly pouring into the search engine. In order to provide users with better and more accurate query results, different query keywords will be processed differently. In the present invention, the processing is mainly performed on keywords with time node characteristics. Such keywords with time point characteristics generally have a start time and an end time, for example: sports games, movie releases, draft events, and the like. Therefore, usually, the start time point and the end time point are two characteristic time points of the keyword with time point characteristics, and of course there may be multiple other characteristic time points.

For example: users use "World Cup" as a keyword to search. Through a series of analysis, it can be known that before the start of the game, users mainly pay attention to some news such as the schedule release, opening ceremony, tickets, peripheral news, etc.; after the start of the game, the demand is concentrated on watching videos , game schedule, game results, standings, game player news and other needs; after the game is over, it is mainly for video playback, news and other needs. Therefore, for the keyword "World Cup", the characteristic time points are the opening time and closing time. Of course, according to the advancement of the World Cup schedule, the setting of its characteristic time points can also be more detailed. For example, it is refined to each game, such as the start time and end time of the opening game.

Another example: before the movie "Transformers 3" is released, users care about the basic information of the movie, trailer video, release time, actor introduction, etc.; resources, related discussions, and more. Therefore, for the keyword "Transformers 3", the characteristic time points are the release time and the end time of the release.

Optionally, by tracking the user's search keywords and selectively changing the search results, the specific time points of these keywords are determined. For example, for the "Super Girl" competition, it is divided into many games. If the user searches for the keyword "Super Girl", but in the returned search results, the click rate of a certain game is very high, you can use the The start time and end time of this game are set as the characteristic time points of the keyword "Super Girl".

Optionally, in order to further effectively manage keywords, different keywords may be classified according to different attributes. According to some typical needs, a specific sub-thesaurus is established for keywords with time node characteristics, such as: event name sub-thesaurus, film and television titles sub-thesaurus, emergency event sub-thesaurus, routine event sub-thesaurus, etc. These sub-thesaurus are not static, but are updated at any time according to the actual situation; at the same time, data access is established with some specialized vertical resource stations. For example, when a certain movie or TV series begins to show or premiere, even when the movie or TV series is being filmed, relevant keywords have been introduced into the film and television title sub-thesaurus.

As shown in Figure 2, based on the above-mentioned sub-thesaurus, step S101 may further include the following two steps:

Step S101-1, establishing a characteristic time point model of each sub-thesaurus. For example, the characteristic time point model of the event name sub-thesaurus is usually the start time and end time of the event. According to different events, there is also a half-time break and the end time of the break or the start time point and end time point of a certain section of the game. . In the feature time point model of the emergency sub-thesaurus, the feature time point usually includes the start time point and the interval time point, usually the interval time point is 1 hour, that is, a feature time point is located every hour, which is consistent with the event name sub-thesaurus The characteristic time point model differs in that there is no end time point.

Specifically, for example, in a table tennis match, the start time points are the start time of the first round, the end time of the first round, the start time of the second round... and the end time of the seventh round. The swimming competition is usually the start time point and the end time point.

Step S101-2, setting characteristic time points for keywords in each sub-thesaurus according to the characteristic time point model. With the model, the characteristic time point can be set for specific keywords. For example, for a table tennis match, you only need to enter the specific time as required in the previous step.

Optionally, the thesaurus and/or the characteristic time point are updated by the content provider. For example, when a new event occurs, the content provider of the event will update the keywords related to the event to the thesaurus.

Step S102, receiving a search request from a user, and extracting the current time of the user at the same time. Since the keywords searched by the user have time characteristics, in order to provide more matching search results, the current time of the user is also very important. After receiving the user's search request, the user's browser information will be obtained, and by analyzing the information, the time information of the time zone where the user is located can be obtained, that is, the user's current time. In addition, the user's IP address can also be used to determine the location in the time zone, and the standard time of the time zone can be used as the user's current time.

Step S103, locating the characteristic time point corresponding to the keyword in the search request in the search word library. Preferably, the sub-thesaurus where the keyword in the search request is located can be located first, then the keyword is searched in the sub-thesaurus, and finally the corresponding characteristic time point is located. Of course, it is also possible to directly locate the feature time point in the search word library.

For example, if the keyword in the search request is "Smurf", then it can be located in the film and television name sub-thesaurus, then query "Smurf" in the sub-thesaurus, and finally find out the characteristics of "Smurf" in the sub-thesaurus point in time. Using a more refined search step can make the positioning process faster and the positioning result more accurate.

Step S104, expand the search request according to the relationship between the user's current time and the characteristic time point, and generate an extended search request. For the accuracy of the search results, the user's current time is usually matched with the characteristic time point information to generate an extended search request. The increase of search criteria will narrow the scope of search results, thereby improving the accuracy of search results.

As shown in Figure 3, step S104 further includes:

Step S104-1, according to the current time of the user, determine which time interval the current time of the user is in, for example, the time interval between which two adjacent characteristic time points.

For example, if the keyword "Smurf" is searched, the characteristic time points of "Smurf" are August 10, 2011 and August 20, 2011. When the user's current time is August 13, 2011, it can be concluded that the user's current time is exactly in the interval between these two characteristic time points. When the user's current time is August 31, 2011, it can be concluded that the user's current time is after the second characteristic time point. It can be understood here that the "interval" here means each segment of the time axis where the events divided by the characteristic time points are located. It may be before the earliest characteristic time point, between two characteristic time points and after the last characteristic time point.

Step S104-2, adding the time interval to the search request to generate an extended search request.

Extend the time interval determined in step S104-1 into the search request to generate an extended search request. The extended search request includes not only the keyword searched by the user, but also the characteristic time interval in which the keyword is located.

Step S105, perform a search according to the extended search request, and obtain a search result. Search resource databases and/or web pages based on extended search requests. When searching in the resource database, the search result can be displayed in a special type, and when searching in the web page, the search result is the URL address.

For example, if the user searches for the keyword "Smurf" on August 7, 2011, after expanding the keyword in step S104, and searching for the extended search request in step S105, different search results can be obtained according to different search sources. result. For example, if the resource database and the web page are searched at the same time, two types of display results and URL results will be obtained.

Step S106, outputting the search result, as shown in FIG. 4 . On the search result output page, display the special display result, and display the URL information of the URL result. The display manner shown in FIG. 4 is only an example, and it may also be only a special display result or only a URL result. In addition, the special type display result is not limited to the content display type, and may also be an application result, as shown in FIG. 5 .

FIG. 6 is a schematic diagram of a search system 10 provided according to the present invention. The system 10 includes: a setting device 11 , an extracting device 12 , a positioning device 13 , an expanding device 14 , a searching device 15 and an output device 16 .

The setting device 11 sets a characteristic time point for a keyword having a time node characteristic in the search word library. With the continuous development of search engine technology, more and more query requests are constantly pouring into the search engine. In order to provide users with better and more accurate query results, different query keywords will be processed differently. In the present invention, the processing is mainly performed on keywords with time node characteristics. Such keywords with time point characteristics generally have a start time and an end time, for example: sports games, movie releases, draft events, and the like. Therefore, usually, the start time point and the end time point are two characteristic time points of the keyword with time point characteristics, and of course there may be multiple other characteristic time points.

For example: a user uses "NBA" as a keyword to search. Through a series of analysis, it can be known that before the start of the season, the user mainly pays attention to news such as schedule announcements, tickets, player transactions, and preseason games; after the start of the regular season, the demand is concentrated in For video viewing, game results, standings, player scoring and other needs; after the finals, it is mainly for video playback, news and other needs. Therefore, for the keyword "NBA", the characteristic time points are the start time of the regular season and the end time of the finals. Of course, according to the advancement of the schedule, the setting of its characteristic time points can also be more detailed. For example, it is refined to the start time and end time of the preseason; the start time and end time of the regular season; the start time and end time of the playoffs; The start time and end time of the finals. Further, it can be further refined. For example, the finals can be divided into seven games, each game can be divided into 4 quarters, and so on.

Optionally, in order to further effectively manage keywords, the setting device 11 may also classify different keywords according to different attributes. According to some typical needs, a specific sub-thesaurus is established for keywords with time node characteristics, such as: event name sub-thesaurus, film and television titles sub-thesaurus, emergency event sub-thesaurus, routine event sub-thesaurus, etc. These sub-thesaurus are not static, but are updated at any time according to the actual situation; at the same time, data access is established with some specialized vertical resources. For example, when a certain movie or TV series begins to show or premiere, even when the movie or TV series is being filmed, relevant keywords have been introduced into the film and television title sub-thesaurus.

As shown in FIG. 7 , the setting device 11 further includes a model building module 111 and a characteristic time point setting module 112 .

The model building module 111 is used for building the characteristic time point model of each sub-thesaurus. For example, the characteristic time point model of the event name sub-thesaurus is usually the start time and end time of the event. According to different events, there is also a half-time break and the end time of the break or the start time point and end time point of a certain section of the game. . In the feature time point model of the emergency sub-thesaurus, the feature time point usually includes the start time point and the interval time point, usually the interval time point is 1 hour, that is, a feature time point is located every hour, which is consistent with the event name sub-thesaurus The characteristic time point model differs in that there is no end time point.

Specifically, for example, in a table tennis match, the start time points are the start time of the first round, the end time of the first round, the start time of the second round... and the end time of the seventh round. The swimming competition is usually the start time point and the end time point.

The feature time point setting module 112 is used to set feature time points for keywords in each sub-thesaurus according to the feature time point model. With the model, the characteristic time point can be set for specific keywords.

Optionally, the system 10 further includes an updating device 17, configured to receive an update provided by a content provider for the thesaurus and/or the characteristic time point, as shown in FIG. 8 . When a new event occurs, the content provider of the event will provide keywords related to the event to the thesaurus, and the updating device 17 will receive updates from the content provider for the thesaurus and/or feature time points . For example, if a new movie "Harry Potter 10" appears, then when the content provider updates the keyword "Harry Potter 10" and its corresponding characteristic time points to the system 10, there is an update device 17 for updating .

The extracting device 12 is used for receiving a user's search request, and simultaneously extracting the user's current time. Since the keywords searched by the user have time characteristics, in order to provide more matching search results, the current time of the user is also very important. After receiving the user's search request, the extracting device 12 will obtain the user's browser information, and analyze the information to obtain the time information of the time zone where the user is located, that is, the user's current time.

The locating device 13 is used for locating the characteristic time points corresponding to the keywords in the search request in the search word library. Preferably, the sub-thesaurus where the keyword in the search request is located can be located first, then the keyword is searched in the sub-thesaurus, and finally the corresponding characteristic time point is located. Of course, it is also possible to directly locate the feature time point in the search word library.

For example, the keyword in the search request is "My Fair Princess", then you can first locate the film and television name sub-thesaurus, then query "My Fair Princess" in the sub-thesaurus, and finally find out "My Fair Princess" in the sub-thesaurus " characteristic time point. Using a more refined search step can make the positioning process faster and the positioning result more accurate.

The expanding device 14 is configured to expand the search request according to the relationship between the user's current time and the characteristic time point, and generate an extended search request. For the accuracy of the search results, the user's current time is usually matched with the characteristic time point information to generate an extended search request. The increase of search criteria will narrow the scope of search results, thereby improving the accuracy of search results.

As shown in FIG. 9 , the extension device 14 further includes: a determining device 141 , configured to determine, according to the user's current time, which two adjacent characteristic time points the user's current time is in. For example, when searching for the keyword "Smurf", the user's current time is August 13, 2011, and the characteristic time points of "Smurf" are August 10, 2011 and August 20, 2011. Then it can be concluded that the current time of the user is exactly in the interval between these two characteristic time points.

The generating means 142 is configured to add the time interval to the search request to generate an extended search request. Extend the time interval determined by the determining means 141 into the search request to generate an extended search request. The extended search request includes not only the keyword searched by the user, but also the characteristic time interval in which the keyword is located.

The searching means 15 is configured to search according to the extended search request and obtain search results. Search resource databases and/or web pages based on extended search requests. When searching in the resource database, the search result can be displayed in a special type, and when searching in the web page, the search result is the URL address.

The output device 16 is configured to output the search result. On the search result output page, the output device 16 displays the special type display results, and also displays the URL information of the URL results. The output result can be a special display result display or only a URL result, or a combination of the two. In addition, the characteristic display result is not limited to the content display type, and may also be an application result.

By adopting the method and system of the present invention, when a user searches for a certain keyword with a time node, more accurate and more matching search results can be provided for the user by expanding the search request.

It will be apparent to those skilled in the art that the invention is not limited to the details of the above-described exemplary embodiments, but that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Accordingly, the embodiments should be regarded in all points of view as exemplary and not restrictive, the scope of the invention being defined by the appended claims rather than the foregoing description, and it is therefore intended that the scope of the invention be defined by the appended claims rather than by the foregoing description. All changes within the meaning and range of equivalents of the elements are embraced in the present invention. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is clear that the word "comprising" does not exclude other modules or steps, and the singular does not exclude the plural.

Claims (18)

1. A search method, wherein, comprising the following steps: a) Determine keywords with time node characteristics in the search vocabulary and set characteristic time points for them; b) Receive the user's search request and simultaneously extract the user's current time; c) Locating the characteristic time points corresponding to the keywords in the search request in the search word library; d) Expand the search request according to the relationship between the user's current time and the feature time point, and generate an extended search request; e) Search according to the extended search request and obtain search results; f) Outputting the search result. 2. The method according to claim 1, wherein the thesaurus includes: a sub-thesaurus of event names, a sub-thesaurus of film and television titles, a sub-thesaurus of emergency events, and a sub-thesaurus of regular events. 3. The method according to claim 2, wherein said step a) further comprises: Establish the characteristic time point model of each sub-thesaurus; According to the characteristic time point model, a characteristic time point is set for keywords in each sub-thesaurus. 4. The method according to claim 1, wherein the thesaurus and/or the characteristic time point are updated by a content provider. 5. The method according to claim 1, wherein the current time of the user in the step b) is obtained through the client browser time. 6. The method according to claim 5, wherein said step d) further comprises: According to the current time of the user, determine what time interval the current time of the user is in; The time interval is added to the search request to generate an extended search request. 7. The method according to claim 6, wherein step e) is: searching the resource database and/or webpage for the extended search request, and obtaining search results. 8. The method according to claim 7, wherein the search results found in the search database are special display results; the search results found in the webpage library are URL results. 9. The method of claim 8, wherein the profile display results are ranked before the URL results. 10. A search system, comprising: A setting device is used to determine keywords with time node characteristics in the search vocabulary and set characteristic time points for them; An extracting device, configured to receive a user's search request and simultaneously extract the user's current time; a locating device, configured to locate, in the search word library, the characteristic time points corresponding to the keywords in the search request; An expansion device, configured to expand the search request according to the relationship between the user's current time and the characteristic time point, and generate an extended search request; a search device, configured to search according to the extended search request and obtain search results; The output device is used for outputting the search result. 11. The system according to claim 10, wherein the thesaurus includes: a sub-thesaurus of event names, a sub-thesaurus of film and television titles, a sub-thesaurus of emergency events, and a sub-thesaurus of regular events. 12. The system according to claim 11, wherein the setting device further comprises: Model building module, used to set up the characteristic time point model of each sub-thesaurus; A feature time point setting module, configured to set feature time points for keywords in each sub-thesaurus according to the feature time point model. 13. The system of claim 10, further comprising: The update device is used for receiving the update provided by the content provider for the thesaurus and/or the characteristic time point. 14. The system according to claim 10, wherein the extracting means extracts the current time of the user through the client browser time. 15. The system according to claim 14, wherein the extension means further comprises: A determining module, configured to determine what time interval the user's current time is in according to the user's current time; A generating module, configured to add the time interval to the search request to generate an extended search request. 16. The system according to claim 15, wherein the search means searches the resource database and/or web pages for the extended search request, and obtains search results. 17. The system according to claim 16, wherein the search results found in the search database are special display results; the search results found in the webpage library are URL results. 18. The system according to claim 17, wherein the search means further sorts the search results, and ranks the profile presentation results before the URL results.

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