KR20130026567A - Recommendation contents offering system using patterns of user device - Google Patents

Recommendation contents offering system using patterns of user device Download PDF

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Publication number
KR20130026567A
KR20130026567A KR1020110076216A KR20110076216A KR20130026567A KR 20130026567 A KR20130026567 A KR 20130026567A KR 1020110076216 A KR1020110076216 A KR 1020110076216A KR 20110076216 A KR20110076216 A KR 20110076216A KR 20130026567 A KR20130026567 A KR 20130026567A
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information
user terminal
content
contents
activity
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KR1020110076216A
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Korean (ko)
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박진수
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(주)아이티에이치
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0255—Targeted advertisements based on user history
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

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  • General Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Computing Systems (AREA)
  • Game Theory and Decision Science (AREA)
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present invention relates to a content providing system using a behavior pattern of a user terminal. When a user terminal used by a user wants to search for or purchase content in a web server, the user terminal accesses to the web server. Content providing system for providing recommended content according to the behavior pattern of the user terminal capable of analyzing the information on the location and the content searched on the web server by the user terminal to provide the web server with a high probability of purchase It is about.

Description

Recommendation Contents Offering System using patterns of user device}

The present invention relates to a content providing system using a behavior pattern of a user terminal. When a user terminal used by a user wants to search for or purchase content in a web server, the user terminal accesses to the web server. Content providing system for providing recommended content according to the behavior pattern of the user terminal capable of analyzing the information on the location and the content searched on the web server by the user terminal to provide the web server with a high probability of purchase It is about.

In general, a user terminal including a mobile or a PC may be provided with a content or a specific service from a web server. A user using the user terminal may search for or purchase the content or the specific service through the web server. Consumption activities.

In addition, recently, as wired / wireless communication networks or telephone communication networks have been developed, and the performance of the user terminal has been improved, the user can be provided with the contents or the specific service regardless of a place or time.

On the other hand, since the content provided by the web server is quite numerous and diverse, the content required by the user or the content to be purchased is limited, so that the user does not need time to search or purchase the contents on the web server. The problem of wasted and effort was generated.

In addition, when the time required for the user to search or purchase the contents increases, the degree of sale of the contents decreases, which leads to a loss of operators providing the contents.

In addition, when various users are provided with the content or the specific service through the web server, the web server may not provide the content or the specific service by reflecting a place or time zone mainly used by the user. There was also a problem that does not fully satisfy the needs of the user.

The present inventors analyze the access location, access time of the user terminals or the behavior pattern that the user terminals searched or purchased the contents on the web server, to provide the web server with information on the content that is likely to be purchased by each user terminal. As a result of the research efforts, the technical configuration of the content providing system for providing the recommended content according to the behavior pattern of the user terminal has been developed to complete the present invention.

Accordingly, an object of the present invention is to analyze the access location, time and contents of the user terminal searched or purchased, so that the user terminal can provide information on the content that is likely to be searched or purchased by the web server. It is to provide a content providing system for providing recommended content according to the behavior pattern of the user terminal.

In addition, another object of the present invention is to reflect the information such as the age or gender of the user using the user terminal, recommended content according to the behavior pattern of the user terminal that can provide the content that the user terminal is likely to search or purchase It is to provide a content providing system that provides.

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, the present invention is connected to a web server that the user terminal is connected to the consumption activity, such as the search or purchase of the content, to increase the likelihood of purchasing each content based on the consumption activity of each user terminal Claims [1] A content providing system comprising: a database server storing activity information which is information on consumption activity of each user terminal on the web server, time information of the consumption activity, and connection location information of each user terminal that performed the consumption activity; And contents for which the frequency of the consumption activity is greater than or equal to a threshold value at a specific access location and time based on the activity information, the time information, and the access location information, and matches the selected content with each user terminal. It provides a content providing system comprising a; behavior pattern generation server for generating behavior pattern information.

In a preferred embodiment, the behavior pattern generation server, when a specific user terminal is connected to the web server, the information that is stored in the behavior pattern information of the specific user terminal or information about other content of the same category as the content Provide content information to the web server.

In a preferred embodiment, the activity information, the time information, and the access location information are each given different weights, and the contents having a value greater than or equal to a threshold value are further selected by multiplying the weight by the frequency of the consumption activity.

In a preferred embodiment, the activity information includes page information on which each content is displayed and link information of each content.

In a preferred embodiment, the behavior pattern generation server is provided with a data table in which all contents provided by the web server and category information of the contents are stored in advance, and the behavior pattern generation server includes the time information and the connection location information. And a matching unit matching the activity information with the data table and generating matching information that is matching information of contents searched or purchased by each user terminal. And a behavior pattern for calculating the frequency number of contents searched or purchased by each user terminal by using the matching information, and calculating the behavior pattern information by calculating contents having a high frequency searched or purchased at a specific time or a specific location. It includes a generation unit.

In a preferred embodiment, the database server further stores information on the login ID and name, age, gender and address of the user as login information when the user of the user terminal subscribes to a specific content service and logs in. .

In a preferred embodiment, the database server receives and stores the activity information, the time information and the access location information from the web server as log data.

In a preferred embodiment, the matching unit converts the log data into metadata and generates the matching information.

In a preferred embodiment, the user terminal is provided with a mobile or PC including a smartphone.

In a preferred embodiment, when the user terminal is provided with the mobile, the connection location information is set to a GPS coordinate value received from the mobile GPS device.

In a preferred embodiment, when the user terminal is provided with the PC, the connection location information is set to the IP address of the PC.

The present invention has the following excellent effects.

First, according to a content providing system according to an embodiment of the present invention, analyzes the access location, time and content that the user terminal has searched or purchased, generates behavior pattern information of the user terminal, and the behavior Since the user terminal selects the content which is highly likely to be searched or purchased through the pattern information and provides the web server to the web server, the web server can provide the content required by the user of the user terminal. Or it can reduce the consumption of time and effort for purchase.

In addition, according to the content providing system according to an embodiment of the present invention, when a user of a user terminal subscribes to a specific service, the user receives the login information of the user terminal and gives a weight according to the age or gender of the user. And generates behavior pattern information, and the user terminal generates the behavior pattern information by weighting it according to the previous behavior pattern information, so that the user terminal can provide the users with contents that are likely to be searched or purchased. It is possible to obtain an effect of improving the profits of the provider.

1 is a view showing a content providing system according to an embodiment of the present invention.
Figure 2 is a block diagram showing a content providing system according to an embodiment of the present invention.

Although the terms used in the present invention have been selected as general terms that are widely used at present, there are some terms selected arbitrarily by the applicant in a specific case. In this case, the meaning described or used in the detailed description part of the invention The meaning must be grasped.

Hereinafter, the technical structure of the present invention will be described in detail with reference to preferred embodiments shown in the accompanying drawings.

However, the present invention is not limited to the embodiments described herein but may be embodied in other forms. Like reference numerals designate like elements throughout the specification.

1 is a view showing a content providing system according to an embodiment of the present invention, Figure 2 is a block diagram showing a content providing system according to an embodiment of the present invention.

1 to 2, in the content providing system 100 according to an exemplary embodiment, a user terminal 10 used by a user accesses a web server 20 to search for or purchase contents. In the case of consuming activity, it is possible to analyze the consumption activity of the user terminal 10 to provide the user with a high probability of purchase, the user terminal 10 to the web server 20 Analyze the time, the access location and the information about the contents searched by the user terminal 10 on the web server 20, the content that is likely to be searched or purchased by the user to the web server 20 It provides a database server 110 and the behavior pattern generation server 120.

In addition, the web server 20 provides the contents, and the user terminal 10 may be connected to search for or purchase the contents, and the contents may be displayed on a web page. In addition, the web server 20 may be a mobile server that can be connected to the mobile 10a, such as a smart phone.

In addition, the user terminal 10 is provided to connect to the web server 20 through a wired, wireless communication network or a telephone communication network, a mobile 10a or a personal computer (PC) 10b including a smart phone. It may be provided as, and may be provided as a laptop or tablet PC (tablet PC) that can be connected to the web server (20).

The database server 110 is for storing information of user terminals 10 connected to the web server 20 to perform consumption activities such as searching or purchasing the contents, and the web server 20. While connected by wire or wirelessly, the activity information which is information on the consumption activity of each user terminal 10 on the web server 20, the time information on which the consumption activity was made, and each user terminal 10 that performed the consumption activity. The connection location information of is stored.

In addition, the database server 110 may receive the activity information, the time information and the access location information from the web server 20, may be input via a wired, wireless communication network or a telephone communication network.

In addition, the activity information, the time information and the access location information input to the database server 110 may be input as log data stored on the web server 20, the log data is the web Consumption activity of each user terminal 10 may be directly recorded and stored on the server 20.

In addition, the activity information may include page information which is information on a web page on which the respective content is displayed on the web server 20 and link information of the respective content. That is, the activity information is information about web pages or respective contents viewed by the user terminal on the web server 20.

In addition, the time information may be information about a time when each user terminal 10 reads the web page and a time when the content is read.

In addition, the access location information indicates the location of each of the user terminal 10, which means a place where the user terminal 10 is located, can be received from each of the user terminal 10.

In addition, the connection location information may be provided in different forms according to the type of the user terminal 10, if the user terminal 10 is provided with the mobile (10a), the GPS device provided in the mobile It can be set to the GPS coordinate value received from.

In addition, the access location information may be set to the IP address of the PC when the user terminal 10 is provided as the PC (10b), for example, the user terminal 10 is a laptop or tablet PC (tablet) The IP address may also be set as the connection location information even when equipped with a PC.

In addition, when a user subscribes to a specific content service provided on the web server 20 and logs in to the web server 20 using the user terminal 10, the database server 110 may be configured as the user. You can save more login information.

In addition, the login information may include information about the login ID and name, age, gender and address of the user. In addition, the login information may be matched with behavior pattern information to be described later.

The behavior pattern generation server 120 is for generating behavior pattern information of each of the user terminals 10, and may be connected to the database server 110 by wire or wirelessly, and the activity from the database server 110. After receiving the information, the time information and the access position information to generate the behavior pattern information, and includes a matching unit 121 and the behavior pattern generation unit 122.

In addition, the behavior pattern generation server 120 receives the activity information, the time information and the connection location information of each user terminal 10, the user terminal 10 is searched or searched at a specific connection location and time Contents whose frequency of purchase is above the threshold are selected. In addition, the behavior pattern generation server 120 matches the selected contents with each user terminal 10 to generate the behavior pattern information.

In addition, the threshold value may be set to a constant number or the highest value.

In addition, the behavior pattern generation server 120 uses the behavior pattern information to provide recommended content information, which is information on content that is likely to be purchased by each user terminal 10, to the web server 20. .

In addition, the recommended content information is displayed on the web page of the web server 20, or when each user terminal 10 searches the content on the web server 20, the content corresponding to the recommended content information preferentially It can be provided to derive, in addition, it can be used in various ways.

In addition, the behavior pattern generation server 120 stores all contents provided by the web server 20 and category information of the contents in a data table in advance, and the data table is a matching unit 121 to be described later. In FIG. 2, the user terminal 10 and the user terminal 10 may be used to match the searched or purchased contents.

In addition, the matching unit 121 is to calculate the content searched or purchased by each user terminal 10 and to match with each user terminal 10, the time information, the access location information and the activity information Generates matching information that is information that matches the data table. In addition, the matching information is that the respective user terminal 10 and the content searched or purchased by each user terminal 10 is matched with each other.

In addition, since the data structure of the time information, the connection location information and the activity information input from the database server 110 is log data, the matching unit 121 converts the data into metadata to match the matching data. Generate with information. In addition, the metadata is a structured data structure for specific data, and the specific data has a tree-like structure from the top to the bottom, and has an advantage of easily searching for the specific data.

In addition, the behavior pattern generation unit 122 is for generating the behavior pattern information using the matching information, and receives the matching information to determine the frequency number of contents searched or purchased by the respective user terminals 10. Calculate

In addition, the behavior pattern generator 122 selects contents having a frequency count or more that the user terminal 10 searches or purchases at a specific time or at a specific location, and then selects the selected contents and each user terminal ( 10) is matched with each other to generate the behavior pattern information. In addition, the behavior pattern generator 122 may be pre-set a weight for generating the behavior pattern information.

In addition, the weight information may be assigned to the activity information, the time information, and the connection location information with different values, and when the behavior pattern generation unit generates the behavior pattern, the weight is the frequency of the consumption activity. By multiplying by the content having a value above the threshold may be selected.

In addition, when the weight is set, for example, the weight given to the connection location information is set to 1.4, the weight given to the time information is set to 0.8, and the weight given to the activity information is set to 1.0. The change in the access position of the user terminal 10 to the web server 20 is small, and the time to access the web server 20 may be used when there is a lot of variation.

In addition, the behavior pattern generation unit 122 may further receive the login information from the database server 110, and the login information may also be given a predetermined weight when generating the behavior pattern information.

In addition, the behavior pattern generation unit 122 sets high weights to contents searched or purchased mainly by the user according to the user's age, gender, or address through the login information, thereby further increasing the possibility of searching or purchasing the contents. Can be improved.

In addition, the login information may further include behavior pattern information previously obtained by the user terminal 10, name and name of each content previously searched or purchased by the user terminal 10 corresponding to the login information; Each of the contents may further include information of a category corresponding to the contents.

That is, the behavior pattern generation unit 122 generates the behavior pattern information by giving the weight to content having a high frequency of search or purchase by the user terminal 10 after receiving the login information.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation, Various changes and modifications will be possible.

110: database server 120: behavior pattern generation server
121: matching unit 122: behavior pattern generation unit

Claims (11)

In a content providing system that is connected to a web server that the user terminal is connected to the consumption of the activity of searching or purchasing the content, on the basis of the consumption activity of each user terminal in the content providing system,
A database server storing activity information which is information on consumption activity of each user terminal on the web server, time information at which the consumption activity is made, and connection location information of each user terminal which has performed the consumption activity; And
An action of selecting contents having a frequency greater than or equal to a threshold value at a specific access position and time based on the activity information, the time information, and the access location information, and matching the selected contents with the respective user terminals; Behavior pattern generation server for generating pattern information; Content providing system comprising a.
The method of claim 1,
The behavior pattern generation server, when a specific user terminal accesses the web server, recommends content information that is content stored in the behavior pattern information of the specific user terminal or information about other contents of the same category as the content, the web server. Content providing system, characterized in that provided by.
The method of claim 1,
The activity information, the time information, and the access location information are each given different weights, and the contents providing system further comprises selecting contents having a value greater than or equal to a threshold value by multiplying the weight by the frequency of the consumption activity. .
The method of claim 2,
And the activity information includes page information on which each content is displayed and link information of each content.
5. The method of claim 4,
The behavior pattern generation server is provided with a data table in which all contents provided by the web server and category information of the contents are stored in advance.
The behavior pattern generation server,
A matching unit matching the time information, the access location information, and the activity information with the data table, and generating matching information that is matched information of contents searched or purchased by each user terminal; And
Using the matching information to calculate the frequency of the content searched or purchased by each of the user terminal, generating the behavior pattern information by calculating the content with a high frequency of search or purchase at a specific time or location Contents providing system comprising a.
The method according to any one of claims 1 to 5,
When the user of the user terminal subscribes to a specific content service and logs in, the database server further stores the login ID, name, age, gender, and address information of the user as login information. system.
The method according to claim 6,
The database server receives and stores the activity information, the time information, and the access location information as log data from the web server.
8. The method of claim 7,
The matching unit converts the log data into metadata, and generates the matching information.
The method of claim 1,
The user terminal is a content providing system, characterized in that provided with a mobile or PC including a smartphone.
The method of claim 9,
When the user terminal is provided with the mobile, the content providing system, characterized in that the connection position information is set to the GPS coordinate value received from the GPS device of the mobile.
The method of claim 9,
If the user terminal is provided with the PC, the connection location information is set to the IP address of the PC, characterized in that the content providing system.
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Cited By (7)

* Cited by examiner, † Cited by third party
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KR20150101538A (en) * 2014-02-26 2015-09-04 에스케이플래닛 주식회사 System for recommending product using execution pattern of user, method of recommending product using execution pattern of user and apparatus for the same
KR20150102137A (en) * 2014-02-27 2015-09-07 에스케이플래닛 주식회사 System for servicing recommended goods, method of servicing recommended goods and apparatus for the same
KR20160083037A (en) * 2013-11-12 2016-07-11 구글 인코포레이티드 Methods, systems, and media for presenting suggestions of media content
WO2019135614A1 (en) * 2018-01-04 2019-07-11 ㈜스파익스 User activity-based advice system using time location data and method therefor
KR102079901B1 (en) * 2019-08-13 2020-02-19 주식회사 데이블 Method, storage medium, and system for providing user-dedicated contents by tracking locations
KR102108683B1 (en) * 2019-08-13 2020-05-07 주식회사 데이블 Method for providing recommendation contents including non-interest contents
KR20210042867A (en) * 2020-09-01 2021-04-20 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. Content recommendation method, apparatus, equipment and medium

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KR20160083037A (en) * 2013-11-12 2016-07-11 구글 인코포레이티드 Methods, systems, and media for presenting suggestions of media content
US10880613B2 (en) 2013-11-12 2020-12-29 Google Llc Methods, systems, and media for presenting suggestions of media content
US11381880B2 (en) 2013-11-12 2022-07-05 Google Llc Methods, systems, and media for presenting suggestions of media content
KR20150101538A (en) * 2014-02-26 2015-09-04 에스케이플래닛 주식회사 System for recommending product using execution pattern of user, method of recommending product using execution pattern of user and apparatus for the same
KR20150102137A (en) * 2014-02-27 2015-09-07 에스케이플래닛 주식회사 System for servicing recommended goods, method of servicing recommended goods and apparatus for the same
WO2019135614A1 (en) * 2018-01-04 2019-07-11 ㈜스파익스 User activity-based advice system using time location data and method therefor
KR102079901B1 (en) * 2019-08-13 2020-02-19 주식회사 데이블 Method, storage medium, and system for providing user-dedicated contents by tracking locations
KR102108683B1 (en) * 2019-08-13 2020-05-07 주식회사 데이블 Method for providing recommendation contents including non-interest contents
KR20210042867A (en) * 2020-09-01 2021-04-20 베이징 바이두 넷컴 사이언스 앤 테크놀로지 코., 엘티디. Content recommendation method, apparatus, equipment and medium

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