KR20090015240A - Recommendation service system reflecting consumer preferences - Google Patents

Abstract

A recommendation service system for reflecting users' preference is provided to analyze the users' preference, and to reflect the analyzed results, thereby reflecting the users' preference to recommend products. A recommendation service server(200) perceives users' preference by using service usage information and user information sent from plural contents providing servers. The contents providing servers provide the service usage information and the information on users accessing the servers to the service server, and select recommendation targets by using the perceived users' preference, and provide the selected targets to users' mobile communication terminals(10).

Description

Recommendation service system reflecting user preferences {Recommendation Service System Reflecting Consumer Preferences}

The present invention relates to a recommendation service system reflecting a user's preference, and more particularly, to a recommendation service system reflecting a user's preference for recommending a product by analyzing a user's preference and reflecting the analyzed result.

Currently, as the e-commerce service for purchasing goods through the wired and wireless Internet network is actively made, a number of content providers such as shopping malls selling various products have been created.

The content providing server provides a variety of product information, such as clothing, miscellaneous goods, home appliances, records, movies, theatre, concert tickets, etc. Most of the products are images of the product description, price, manufacturer, sales company, delivery method, etc. Mark with a letter of introduction to help users make purchases.

However, in the above-described method, a user who accesses a corresponding server searches a menu of various levels or inputs a specific search term to access a product that he / she wants to purchase, which makes the product search process cumbersome. A problem arises in that a large amount of time is required to confirm specific product information.

In addition, there is also a problem that does not cause the user's attention due to the general and monotonous content menu configuration.

The present invention has been made to solve the above problems, and there is a technical problem to provide a recommendation service system reflecting the user's preference for recommending a customized product considering the information of each user.

In addition, an object of the present invention is to analyze the preference of the customer based on the user-specific personal information and content service usage information.

The present invention for achieving the above object is a recommended service system,

A recommendation service server that grasps user preferences by using user information and service usage information transmitted from a plurality of content providing servers; And a content providing server that provides information of a user accessing a server and service usage information to the recommendation service server, and selects a recommendation target using a user preference identified by the recommendation service server and provides the same to a user mobile communication terminal. It includes;

Here, the recommended service server is connected to the wired and wireless communication network communication interface unit for transmitting and receiving information with a plurality of content providing server and mobile communication terminal; A database storing information related to the recommendation service server; A customer information collecting unit configured to receive user information input by a user and transmitted from a mobile communication terminal, service usage information transmitted from a plurality of content providing servers, and user information corresponding thereto, and classify the information into users and store them in the database; And a customer preference analyzer configured to determine a preference for each user based on information collected by the customer information collector and accumulated in the database.

In addition, the customer preference analyzer may set a preference for each user by assigning weights according to the frequency of accumulation of the same item among the items of the information collected by the customer information collector, or by arbitrarily combining some of the items of the collected information. It is desirable to set user preferences.

In addition, the content providing server, the communication interface unit connected to the wired and wireless communication network for transmitting and receiving information with the recommended service server and the mobile communication terminal; A database storing information related to the content providing server; A customer information manager which transmits information of a user who uses a content service and service usage information for each user to the recommended service server, and stores the information in the database; A customer preference manager that receives user preferences identified by the recommendation service server and stores and manages them in the database; A recommendation processing unit that selects a recommendation target from previously stored content information based on preference information of the connected user among preference information for each user stored in the database when receiving access information of a specific user; And a recommendation information transmitter for transmitting the recommendation object selected by the recommendation processor to the corresponding user mobile communication terminal.

Another embodiment of the present invention is a recommendation service server connected with a plurality of content providing servers to recommend products reflecting user preferences.

A communication interface unit connected to a wired / wireless communication network and transmitting and receiving information to and from a plurality of content providing servers and mobile communication terminals; A database storing information related to the recommendation service server; A customer information collection unit receiving user information input by a user and transmitted from a mobile communication terminal, service usage information transmitted from a plurality of content providing servers, and user information corresponding thereto, and classifying the information into users and storing them in the database; A customer preference analyzer configured to determine a preference for each user based on information collected by the customer information collector and accumulated in the database; When the user's access information is received from one of the plurality of content providing servers, the recommendation target is selected from previously stored content information based on the preference information of the connected user among the user preference information analyzed by the customer preference analyzer. A recommendation processing unit for selecting; And a recommendation information transmitter for transmitting the recommendation object selected by the recommendation processor to the corresponding content providing server.

Here, the customer preference analysis unit sets a preference for each user by assigning weights according to the frequency of accumulation of the same item among the items of the information collected by the customer information collecting unit, or arbitrarily combines some of the collected information items. It is preferable to set the preference for each user.

As described above, the recommendation service system reflecting the user's preference of the present invention has an advantage of recommending customized product information in consideration of individual user information.

In addition, the present invention has a merit of inducing a consumer's desire to purchase because the user's preference is grasped based on user's personal information and content service use information and applied to the product recommendation.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

First, FIG. 1 is a diagram illustrating a connection relationship between a recommendation service system and a communication network according to the present invention.

The recommendation service system is configured to grasp the user's preference based on the user's personal information and service (content service such as a shopping mall, a movie, music, etc.), and recommend a product suitable for the user's taste based on the user's preference. Recommended service server 200 and a communication network that collects service usage information transmitted from the content providing servers 300-1, 300-2,. It includes a content providing server 300 to provide a shopping mall, movies, music, etc. to the mobile communication terminal 10 connected through the 100.

The recommendation service system is classified into a case of recommending a product on the recommendation service server 200 side and a case of recommending a product on the content providing server 300 side. First, a case of recommending a product on the content providing server 300 side. Is as follows.

The recommendation service server 200 uses the user information including name, gender, age, place of residence, behavior pattern, etc. transmitted from the plurality of content providing servers 300, and the service using information including purchase information and inquiry information. Identify star preferences.

The purchase information refers to content information purchased by the user, and the search information refers to content information viewed by the user for the reason of purchasing a product or checking a product of interest. The purchase information and the search information refer to product classification, Includes price range, brand, color information, and more.

In addition, the behavior pattern refers to information for identifying the subjective propensity of the user, such as the daily lifestyle of the user, the area where the user lives (for example, weekday-seocho-dong, weekend / holiday-gangnam station, myeongdong), hobby, and the like. , Is registered by the user.

The content providing server 300 provides information of a user accessing the server and service usage information to the recommended service server 200, and among the plurality of content information using the user preferences identified by the recommended service server 200. The recommendation targets are selected and provided to the user mobile communication terminal 10.

Secondly, when recommending a product on the recommendation service server 200 side, the recommendation service server 200 uses user information transmitted from the mobile communication terminal 10 and services transmitted from the plurality of content providing servers 300. Receive the information and the corresponding user information to determine the preference for each user, when receiving the access information of a specific user transmitted from the content providing server 300 selects a recommendation target from a plurality of products based on the user's preference Transfer to the content providing server 300.

Here, the recommendation service server 200 receives and stores new or updated content information from the content providing server 300 in real time, and refers to this when selecting a recommendation target.

FIG. 2 is a diagram illustrating an exemplary configuration of a recommendation service server according to an exemplary embodiment of the present invention. A case in which a product is recommended on the content providing server side will be described as an example.

As shown in the drawing, the recommendation service server 200 includes a communication interface 210, a customer information collecting unit 230, a customer preference analyzing unit 250, and a database 270.

In more detail, the communication interface 210 is connected to the wired / wireless communication network to transmit and receive information to and from the plurality of content providing server 300 and the mobile communication terminal 10.

The customer information collecting unit 230 receives user information input by the user and transmitted from the mobile communication terminal 10, service usage information transmitted from the plurality of content providing servers 300, and user information corresponding thereto, for each user. Classify and store in the database 270.

The customer preference analyzer 250 determines a user preference based on the information collected by the customer information collector 230 and accumulated in the database 270.

Here, the customer preference analyzer 250 sets a preference for each user by assigning weights according to the frequency of accumulating the same items among the items of information collected by the customer information collector 230, or items of the collected information. Some of them are arbitrarily combined to set user preferences.

For example, the customer preference analyzer 250 may collect and accumulate the service usage information (service model of FIG. 3) collected from the content providing server 300 and the corresponding user information (see FIG. 3). Customer model), A frequently buys golf wear, and the price of golf wear is usually medium to medium. The brand prefers A and the color is achromatic. If you choose (Black), A is a middle-aged man in Seoul, a man in his 30's who is active in sports (especially golf). These findings can be used not only for clothing but also for recommending other products. For example, when recommending MP3, the price range of <medium> recommends a sporty design with achromatic color.

In this way, the customer preference analyzer 250 checks the frequency of each item of the collected information and sets the user's preference by weighting the frequency in order of high frequency.

Meanwhile, as shown in FIG. 4, the customer preference analysis unit 250 collects and accumulates service usage information (service model of FIG. 4) collected from the content providing server 300 and corresponding user information (customer model of FIG. 4). A random combination of) to determine user preferences, for example, A buys golf wear, likes rock music, and prefers action movies, so A likes movies, is active, Results in belonging to

That is, the customer preference analyzer 250 sets preferences in consideration of only 1, 3, a, and c of the items of the customer model and the items of the service model shown in FIG. 5.

The database 270 stores information related to the recommended service server 200 including service usage information transmitted from the content providing server 200 and user information corresponding thereto.

FIG. 6 is a diagram illustrating a configuration of a content providing server according to an exemplary embodiment of the present invention. A case in which a content providing server recommends a product using user preferences analyzed by a recommendation service server will be described as an example.

In more detail, the content providing server 300 may include a communication interface 310, a customer information manager 320, a customer preference manager 330, a recommendation processor 340, a recommendation information transmitter 350, and a database 360. ).

In more detail, the communication interface 310 is connected to the wired / wireless communication network and transmits and receives information with the recommended service server 200 and the mobile communication terminal 10.

The customer information manager 320 transmits information of a user who uses the content service and service usage information for each user to the recommended service server 200, and stores and manages the same in the database 360.

The customer preference manager 330 receives the user preferences identified by the recommendation service server 200 and stores and manages the user preferences in the database 360.

When the recommendation processing unit 340 receives the access information of a specific user, the recommendation processing unit 340 selects a recommendation target from previously stored content information based on the preference information of the connected user among the user preference information stored in the database 360.

For example, if the content providing server 300 is a shopping mall server, the recommendation processing unit 340 may identify the preference information (A-M-Seoul-30s-middle class-active-colorless-preferred-sports (golf) for the A user. )), We would recommend clothing that is <medium> price and black in the newly released golf wear. Of course, I would recommend a product that is priceless and plain.

The recommendation information transmitter 350 transmits the recommendation objects selected by the recommendation processor 340 to the corresponding user mobile communication terminal 10.

The database 360 stores information related to the content providing server 300 including user preference information transmitted from the recommendation service server 200.

FIG. 7 is a diagram illustrating another embodiment of a recommendation service server according to the present invention, and a case in which a product is recommended on the recommendation service server side will be described as an example.

As shown in the drawing, the recommendation service server 400 may include a communication interface 410, a customer information collecting unit 420, a customer preference analyzing unit 430, a recommendation processing unit 440, a recommendation information transmitting unit 450, and a database. 460.

In more detail, the communication interface unit 410 is connected to the wired / wireless communication network to transmit and receive information with the plurality of content providing server 300 and the mobile communication terminal 10.

The customer information collecting unit 420 receives user information input by the user and transmitted from the mobile communication terminal 10, service usage information transmitted from the plurality of content providing servers 300, and user information corresponding thereto, for each user. Classify and store in the database 460.

The customer preference analyzer 430 determines the user preference based on the information collected by the customer information collector 420 and accumulated in the database 460.

Here, the customer preference analysis unit 430 sets a preference for each user by assigning a weight according to the frequency of accumulation of the same item among the items of information collected by the customer information collecting unit 420, or an item of the collected information. Some of them are arbitrarily combined to set user preferences.

For example, as shown in FIG. 3, the customer preference analyzer 430 collects and accumulates service usage information (service model of FIG. 3) collected from the content providing server 300 and corresponding user information (see FIG. 3). Customer model), A frequently buys golf wear, and the price of golf wear is usually medium to medium. The brand prefers A and the color is achromatic. If you choose (Black), A is a middle-aged man in Seoul, 30s, who is an active person who is interested in sports (especially golf). These findings can be used not only for clothing but also for recommending other products. For example, when recommending MP3, the price range of <medium> recommends a sporty design with achromatic color.

In this way, the customer preference analysis unit 430 sets the user's preference by checking the frequency of each item of the collected information and weighting them in the order of high frequency.

Meanwhile, as shown in FIG. 4, the customer preference analyzer 430 collects and accumulates service usage information (service model of FIG. 4) collected from the content providing server 300 and corresponding user information (customer model of FIG. 4). A random combination of) to determine user preferences, for example, A buys golf wear, likes rock music, and prefers action movies, so A likes movies, is active, Results in belonging to

That is, the customer preference analyzer 430 sets preferences in consideration of only 1, 3, a, and c of the items of the customer model and the items of the service model shown in FIG. 5.

When the recommendation processor 440 receives the user's access information from any one of the plurality of content providing servers 300, the recommendation processor 440 may access the user's preference information of the user's preference information analyzed by the customer preference analyzer 330. Based on the previously stored content information based on the recommendation targets are selected.

The recommendation transmission transmitter 450 transmits the recommendation targets selected by the recommendation processor 440 to the corresponding content providing server 300.

The database 460 stores information related to the recommendation service server 400 including content information received in real time from the content providing server 300.

As such, those skilled in the art will appreciate that the present invention can be implemented in other specific forms without changing the technical spirit or essential features thereof. Therefore, the above-described embodiments are to be understood as illustrative in all respects and not as restrictive. The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

As described above, the recommendation service system reflecting the user's preference of the present invention is suitable for the high necessity of recommending customized product information considering the information of each user.

1 is a diagram showing a connection between a recommended service system and a communication network according to the present invention;

2 is a diagram showing an embodiment of a recommended service server configuration according to the present invention;

3 is a view for explaining an embodiment of a recommendation service method according to the present invention;

4 is a view for explaining another embodiment of a recommended service method according to the present invention;

5 is a view for explaining another embodiment of a recommended service method according to the present invention;

6 is a view showing the configuration of a content providing server according to the present invention;

7 is a diagram showing another embodiment of a recommended service server configuration according to the present invention.

<Explanation of symbols for the main parts of the drawings>

10: mobile communication terminal 100: mobile communication network

200: recommended service server 210, 310, 410: communication interface unit

230, 420: customer information collection unit 250, 430: customer preference analysis unit

270, 360, 460: database 300: content delivery server

320: customer information management unit 330: customer preference management unit

340, 440: recommendation processing unit 350, 450: recommendation information transmission unit

Claims (6)

As a recommended service system, A recommendation service server that grasps user preferences by using user information and service usage information transmitted from a plurality of content providing servers; And A content providing server that provides information of a user accessing a server and service usage information to the recommendation service server, and selects a recommendation target by using the user preferences identified by the recommendation service server and provides the same to a user mobile communication terminal; Recommended service system comprising a. The method of claim 1, The recommended service server, A communication interface unit connected to a wired / wireless communication network and transmitting and receiving information to and from a plurality of content providing servers and mobile communication terminals; A database storing information related to the recommendation service server; A customer information collection unit receiving user information input by a user and transmitted from a mobile communication terminal, service usage information transmitted from a plurality of content providing servers, and user information corresponding thereto, and classifying the information into users and storing them in the database; And A customer preference analyzer configured to determine a preference for each user based on information collected by the customer information collector and accumulated in the database; Recommended service system comprising a. The method of claim 2, The customer preference analysis unit, Among the items of the information collected by the customer information collection unit, weights are assigned according to the frequency of accumulation of the same item to set user preferences, or Recommended service system, characterized in that by setting a preference for each user by combining some of the items of the collected information. The method of claim 1, The content providing server, A communication interface unit connected to a wired / wireless communication network to transmit / receive information with a recommended service server and a mobile communication terminal; A database storing information related to the content providing server; A customer information manager which transmits information of a user who uses a content service and service usage information for each user to the recommended service server, and stores the information in the database; A customer preference manager that receives user preferences identified by the recommendation service server and stores and manages them in the database; A recommendation processing unit that selects a recommendation target from previously stored content information based on preference information of the connected user among preference information for each user stored in the database when receiving access information of a specific user; And A recommendation information transmitter for transmitting the recommendation object selected by the recommendation processor to a corresponding user mobile communication terminal; Recommended service system comprising a. As a recommendation service server connected with a plurality of content providing servers to recommend products reflecting user preferences, A communication interface unit connected to a wired / wireless communication network and transmitting and receiving information to and from a plurality of content providing servers and mobile communication terminals; A database storing information related to the recommendation service server; A customer information collection unit receiving user information input by a user and transmitted from a mobile communication terminal, service usage information transmitted from a plurality of content providing servers, and user information corresponding thereto, and classifying the information into users and storing them in the database; A customer preference analyzer configured to determine a preference for each user based on information collected by the customer information collector and accumulated in the database; When the user's access information is received from one of the plurality of content providing servers, the recommendation target is selected from previously stored content information based on the user's preference information of the user's preference information analyzed by the customer preference analyzer. A recommendation processing unit for selecting; And A recommendation information transmitter for transmitting the recommendation object selected by the recommendation processor to a corresponding content providing server; Recommended service server comprising a. The method of claim 5, The customer preference analysis unit, Among the items of the information collected by the customer information collection unit, weights are assigned according to the frequency of accumulation of the same item to set user preferences, or Recommended service server, characterized in that for setting a preference for each user by arbitrarily combining a part of the collected information.

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