KR20170086765A - The method for being recommended entertainment information based on gps and bigdata - Google Patents

Abstract

According to an embodiment of the present invention, an entertainment information recommendation method based on location information and big data includes: acquiring a current location information of a user through a user device; Collecting information about at least one store located within the at least one store, and outputting information about the collected store through a user device, wherein the at least one store is a store providing entertainment services, Can be selectively collected based on the analysis result of the preliminarily constructed big data in association with the user.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for recommending entertainment information based on location information and big data,

The present invention relates to an entertainment information recommendation method based on position information and big data.

Due to the explosion of personal portable terminals such as smart phones, users can easily acquire the information they want by searching through a smart phone or the like.

However, the search of such information shows differences in search accuracy and search efficiency due to problems such as selection of keywords and utilization of search data. For example, in order to quickly and accurately acquire user's desired search information, the user is required to input one or more keywords. If the user incorrectly selects a search keyword, a large amount of time may be spent to search for the search target information.

In addition, when the search data range is too narrow, the search request information of the user may not be completely retrieved.

Accordingly, there is an increasing need to develop a method for quickly and easily searching for information that meets the user's interest, using the user's current location information and pre-established big data.

As a response to the above-described problem of the present invention, it is desired to quickly and accurately recommend entertainment information based on the user's current location information and established big data.

As one embodiment of the present invention, an entertainment information recommendation method based on location information and big data can be provided.

According to an embodiment of the present invention, an entertainment information recommendation method based on location information and big data includes: acquiring a current location information of a user through a user device; Collecting information about at least one store located within the at least one store, and outputting information about the collected store through a user device, wherein the at least one store is a store providing entertainment services, Can be selectively collected based on the analysis result of the preliminarily constructed big data in association with the user.

The predetermined radius according to an embodiment of the present invention may be enlarged or reduced based on the current position of the user and may be changed based on the first signal applied by the user via the user device.

In addition, the information on at least one store may be collected and classified according to the type of service provided by the store, and information about the stores collected based on the second signal applied by the user through the user device is filtered .

The step of outputting information about the collected store through the user device according to an exemplary embodiment of the present invention may further include outputting detailed information about the store based on the third signal applied by the user through the user device .

Meanwhile, as an embodiment of the present invention, a computer-readable recording medium on which a program for causing the computer to execute the above-described method may be provided.

According to an embodiment of the present invention, a user can conveniently search for and confirm information on an entertainment service providing shop in the vicinity of the user, so that the convenience of the user in the place search can be greatly improved.

In addition, according to the embodiment of the present invention, since the user can restrict the search conditions (for example, store type limitation, etc.) as desired, the user does not have to check all the unnecessary search results. Therefore, it is possible to significantly reduce the fatigue and the like of the search result of the user.

In addition, according to an embodiment of the present invention, since the user can receive information on the unrealized shops that he has not previously experienced, the experience opportunities for various kinds of entertainment services can be increased.

1 is a flowchart illustrating an entertainment information recommendation method based on location information and big data according to an embodiment of the present invention.
Figure 2 shows information about at least one store output according to an embodiment of the invention.
Figure 3 shows additional information for at least one store output according to an embodiment of the invention.
Figure 4 is an example of a community screen that may be provided in accordance with an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

The terms used in this specification will be briefly described and the present invention will be described in detail.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.

When an element is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements, without departing from the spirit or scope of the present invention. Also, the terms "part," " module, "and the like described in the specification mean units for processing at least one function or operation, which may be implemented in hardware or software or a combination of hardware and software . In addition, when a part is referred to as being "connected" to another part throughout the specification, it includes not only "directly connected" but also "connected with other part in between".

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a flowchart illustrating an entertainment information recommendation method based on location information and big data according to an embodiment of the present invention.

According to an embodiment of the present invention, an entertainment information recommendation method based on location information and big data includes: acquiring a current location information of a user through a user device (S10) (S20) collecting information about at least one shop located within a predetermined radius, and outputting information about the collected shop through a user device (S30), wherein at least one store provides an entertainment service And the information on at least one store can be collected selectively based on the analysis result of pre-established big data in association with the user.

According to an embodiment of the present invention, the user's current location information can be acquired in real time using a GPS sensor or the like included in the user device 10. [ In other words, the user's current location information may refer to the GPS location information of the user device 10. [

User device 10 may include wearable devices such as smart phones, tablet PCs, smart watches, and the like. In other words, the user device 10 may refer to an electronic device capable of communicating wired or wirelessly with other devices, and reproducing images, sounds, and the like.

Entertainment services can refer to services that require fun and activity such as entertainment, leisure, and the like.

Information about at least one store located within a predetermined radius based on current location information obtained through the user device 10 can be collected.

For example, the predetermined radius may be one kilometer (km), three kilometers, five kilometers, etc. based on the user's current location information. In addition, the predetermined radius according to an embodiment of the present invention may be enlarged or reduced based on the current position of the user, and may be changed based on the first signal applied by the user via the user device 10 have. The first signal may include a zoom-in or zoom-out signal, and the like. The user can apply a zoom-in input using the touchpad or the like of the user device 10, and the predetermined radius can be gradually reduced as the zoom-in input is applied. In addition, the user can apply a zoom-out input to the user device 10 through a touch, and the predetermined radius may gradually increase as the zoom-out input is applied. In other words, the user can adjust the range of the radius for the search by zooming in or zooming out. According to an embodiment of the present invention, the touch pad may be embedded in the display unit.

According to an embodiment of the present invention, information on at least one store can be selectively collected based on analysis results of previously constructed big data in association with a user. For example, when a user is a woman in her twenties, information on an entertainment service providing shop around the user can be collected based on a result of a big data analysis that reflects the time of the twenties, the seasonal preference, and the interest. Such information may be collected from an external device (e.g., a server, the Internet, etc.) connected to the user device 10 in a wired or wireless manner.

FIG. 2 shows information about at least one store output according to an embodiment of the present invention, FIG. 3 shows additional information about at least one store output according to an embodiment of the present invention, FIG. 4 Is an example of a community screen that may be provided in accordance with an embodiment of the present invention.

The information about the at least one store may be collected and classified according to the type of service provided by the store and the information about the stores collected based on the second signal applied by the user through the user device may be filtered .

As shown in FIG. 2, information on at least one store can be classified according to the type of service provided by the store. For example, shop information may be provided to a user according to classification after a shop is classified based on major service businesses provided by the shop, such as a picnic room, a karaoke room, and a billiard room. Such shop information may be provided by, for example, a location mark on the map, as in Fig.

For example, when a user applies a touch input (e.g., may be referred to as a second signal) for selecting a karaoke item to the user device 10, the information about the collected store is provided only with information on stores related to karaoke .

In addition, the step of outputting information on the collected shop through the user device according to an embodiment of the present invention may further include the step of outputting detailed information on the shop based on the third signal applied by the user through the user device Step < / RTI >

Referring to Figures 2 and 3, when a user applies a touch (e.g., may be referred to as a third signal) to the user device 10 to select a particular store (e.g., the number of luxes in Figure 2) , Detailed information about the selected shop can be displayed in the form of a screen or a pop-up window. As shown in FIG. 3, additional information such as business hours, prices, locations, facilities, user reviews by other users, etc. of the selected store can be provided to the user.

Also, according to an embodiment of the present invention, the service contents for the friendship of people with similar interests may be provided to the user along with entertainment information or shop information. As shown in FIG. 4, a service (e.g., a community service) for sharing information related to entertainment between users can be provided together with shop information and the like.

One embodiment of the present invention may also be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

10: User device

Claims (5)

In an entertainment information recommendation method based on location information and big data,
Obtaining current position information of the user through the user device;
Collecting information about at least one store located within a predetermined radius based on the obtained current location information; And
And outputting information on the collected shop through the user device,
Wherein the at least one store is a store providing entertainment services,
Wherein the information about the at least one store is selectively collected on the basis of analysis results of pre-established big data in association with a user, wherein the entertainment information recommendation method is based on location information and big data.
The method according to claim 1,
Wherein the predetermined radius can be enlarged or reduced based on the current position of the user and is changeable based on a first signal applied through the user device by the user, How to recommend entertainment information based on.
The method according to claim 1,
The information on the at least one store can be collected and classified according to the type of service provided by the store,
Wherein the information about the collected shop is filtered based on a second signal applied by the user through the user device, based on the location information and the big data.
The method according to claim 1,
The step of outputting information on the collected store through the user device may further include outputting detailed information on the store based on a third signal applied by the user through the user device Feature information recommendation method based on location information and big data.
A computer-readable recording medium on which a program for implementing the method of claim 1 is recorded.

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