KR20160117999A - Method of providing personalized information and apparatus thereof - Google Patents

Method of providing personalized information and apparatus thereof Download PDF

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KR20160117999A
KR20160117999A KR1020150046189A KR20150046189A KR20160117999A KR 20160117999 A KR20160117999 A KR 20160117999A KR 1020150046189 A KR1020150046189 A KR 1020150046189A KR 20150046189 A KR20150046189 A KR 20150046189A KR 20160117999 A KR20160117999 A KR 20160117999A
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user
online
interest
posts
frequency
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KR1020150046189A
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Korean (ko)
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이기훈
김선표
김은상
전영호
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광운대학교 산학협력단
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Publication of KR20160117999A publication Critical patent/KR20160117999A/en

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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
    • 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
    • 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
    • G06Q50/20—Education
    • G06Q50/30—

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Abstract

A personalized information providing method and apparatus are disclosed. The personalized information providing apparatus collects the posts of the online group and the online group related to the user, and then grasps the area of interest of the contents to be provided to the user based on the frequency of the collected posts by category.

Description

TECHNICAL FIELD The present invention relates to a personalized information providing method and apparatus,

The present invention relates to a personalized information providing method and apparatus for analyzing an area of interest of an individual and providing content suitable for the individual.

Recently, with the development of information and communication devices and the spread and spread of smart devices, education methods are evolving from smart learning to traditional education. Digital devices for smart learning are also becoming diverse, ranging from tablet PCs to robots, and services are constantly evolving, including various attempts in service operations and algorithms. Smart learning can contribute to the education welfare of the underprivileged because learning can be done without private education expenses.

For smart learning, it is necessary to provide contents appropriate to learners' intellectual level and area of interest. However, it is difficult to input the user's intellectual level and the field of interest individually from the user, and the user's intellectual level and field of interest may change with time.

Patent Publication No. 2014-0113852

SUMMARY OF THE INVENTION The present invention provides a personalized information providing apparatus for providing personalized contents to a user by analyzing a user's online postings or online group related posts related to the user, And a method therefor.

According to another aspect of the present invention, there is provided a method of providing personalized information, the method including: collecting a posting registered by a user on-line; Collecting a post of an online group related to the user; And sorting the collected posts according to their contents according to predefined categories, and then identifying the area of interest of the contents to be provided to the user based on the frequency of the postings of each category.

According to another aspect of the present invention, there is provided a personalized information providing apparatus including: a first collecting unit for collecting a posting registered by a user on-line; A second collection unit for collecting a post of an online group related to the user; A first frequency grasping unit for classifying the posts collected by the first collecting unit into a plurality of categories and grasping the frequency of the posts for each category; A second frequency grasping unit for classifying the online group-based posts collected by the second collecting unit into categories and grasping the frequency of posts per each category; And an interest field grasping unit for grasping an interest field on the basis of the frequency of a post for each category identified by the first frequency grasping unit and the second frequency grasping unit.

According to the present invention, it is possible to automatically grasp a user's area of interest and provide appropriate content corresponding thereto. It can also provide customized ads tailored to the user's interests. In addition, we can expect to improve learning outcomes by providing learning content for user 's learning level or area of interest.

Brief Description of the Drawings Fig. 1 is a schematic view showing a configuration of an overall system for providing personalized information according to the present invention. Fig.
2 is a view showing the configuration of an embodiment of the personalized information providing apparatus according to the present invention,
FIG. 3 is a flowchart illustrating a method of providing personalized information according to an embodiment of the present invention.
4 is a view illustrating an example of a method of collecting user posts for providing personalized information according to the present invention.
5 is a view illustrating an example of a method of collecting a post of an online group in order to provide personalized information according to the present invention;
6 is a view showing a ranking of an online group in which a post for providing personalized information according to the present invention exists;
7 is a diagram illustrating an example of a method of analyzing a post for providing personalized information according to the present invention.
8 is a diagram illustrating an example of a method of analyzing a post, in particular, a method of analyzing a post of an online group, in order to provide personalized information according to the present invention;
FIG. 9 is a view illustrating an example of catching a frequency of a category of a post for providing personalized information according to the present invention;
FIG. 10 is a view illustrating an example of interest score for each category for providing personalized information according to the present invention,
11 is a diagram illustrating an example of a feedback screen for correcting a score of interest score per category identified according to the present invention,
FIG. 12 is a diagram illustrating the results of interest score values for each category corrected through the feedback process according to the present invention.

Hereinafter, a personalized information providing apparatus and method according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a diagram showing a schematic configuration of an overall system for providing personalized information according to the present invention.

Referring to FIG. 1, a user accesses various online servers 130 using a terminal 100 to register a post, and receives personalized information according to the present invention. Here, the terminal 100 may be various terminals connected to the Internet 110 through a wired network, as well as a portable terminal such as a smart phone, a tablet PC and the like.

The terminal 100 may include an application for a personalized information providing service according to the present invention. The application may be downloaded via various paths and installed in the terminal 100 or may be initially embedded in the terminal 100. The terminal 100 is provided with contents (for example, learning contents, advertisements, etc.) of the user interest field identified by the personalized information providing apparatus 120 through the application.

For example, the application of the terminal 100 may receive content of the user interest field from the personalized information providing device 120, and then request and receive the content of the user interest field to the content server 140.

As another example, when the application of the terminal 100 accesses the content server 140, the content server 140 selects the content based on the user interest field received from the personalized information providing apparatus 120, ).

The content server 140 may provide various types of contents to the user terminal 100, for example, a learning content providing server, a news providing server, an advertisement server, or the like.

For example, when the terminal 100 connects to a learning content providing server, which is a type of the content server 140, the learning content providing server transmits learning content for the user's interest field to the terminal 100. Therefore, the user can receive the contents of his or her interest field among the learning contents, so that the learning effect can be expected to be improved.

As another example, the content server 140 may provide customized content based on various user information such as a user's sex, age, residence, occupation, hobby, specialty, along with information of the user's interest field. To this end, the content server 140 may receive the user information together with the user interest field information from the application of the terminal 100 or the personalized information providing apparatus 120.

The online server 130 is a server through which a user can register a post, and includes various servers capable of registering, for example, a post of a social network service, a comment of a news, a product review of an online shopping mall, and the like. The on-line server 130 and the content server 140 can be registered together with the provision of the content, so that the on-line server 130 and the content server 140 ) May be the same server.

The personalized information providing apparatus 120 collects posts and the like registered by the user on the online server 130 and the like, grasps a user's interest field, and provides various necessary services using the determined interest field information. For example, the personalized information providing apparatus 120 may directly select an advertisement for a user's interest field, a learning content, and the like, and provide the selected advertisement to the terminal 100 or to a content server 140 And can provide user interest field information. Or the personalized information providing apparatus 120 may provide information of the user's interest field to the application of the terminal 100. [

The personalized information providing apparatus 120 registers and stores user information for collecting user's posts and the like. The user information includes an online identifier (ID), a nickname, and the like that the user uses to leave a post on the online. For example, the personalized information providing apparatus 120 collects registered identifiers, posts created with nicknames, and the like, and grasps user interest areas. Since the user's interest field is not always fixed but varies with time, the personally customized information providing device 120 can collect postings from the current point of time to the past point of time to grasp the user's interest field.

2 is a diagram showing the configuration of an embodiment of the personalized information providing apparatus according to the present invention.

Referring to FIG. 2, the personalized information providing apparatus 120 includes a first collecting unit 200, a second collecting unit 210, a first frequency acquiring unit 220, a second frequency acquiring unit 230, A field recognition unit 240, and a feedback unit 250.

The first collecting unit 200 collects the online postings registered by the user. To this end, the personalized information providing apparatus 120 registers and stores user information such as a user's name, an online identifier (ID), a password, a nickname, a date of birth, a sex, The first collecting unit 200 may access a plurality of unspecified online servers on the basis of the registered user information to collect the registered posts by the user or access some predetermined online servers to collect user posts. For example, the first collecting unit 200 may collect a user's postings on Facebook or on a friend's facebook.

User posts can be in various forms, such as when they are publicly visible, when they are only visible to people in a certain group, or when they are visible only to the user. Therefore, according to the embodiment, the personalized information providing apparatus 120 can set the collection range of information when registering the user information. For example, when the user permits the collection of all the posts, the first collecting unit 200 logs in the online server based on the identifier and the password registered by the user, and collects all articles posted by the user . Alternatively, when the user permits the collection of only the articles that are open to all persons, the first collecting unit 200 collects the posts created with the user identifier or the nickname without logging into the online server.

In the case of collecting user's posts from a plurality of online servers rather than one online server, identifiers or nicknames of different users may be duplicated. For example, the user identifier 'AAA' of the first on-line server and the identifier AAA of the second on-line server may be different from each other. Accordingly, when the user information is registered, the first collecting unit 200 may collect user information, nickname, and the like, together with information on the related on-line server. For example, the first collecting unit 200 receives a name of at least one or more social network services from a user and information of a user name, an identifier, or a nickname used in each social network service, Can be collected.

The second collecting unit 210 collects the posts of the online group related to the user. The first collecting unit 200 collects the posts registered by the user, while the second collecting unit 210 collects notices registered directly by the user, but rather the posts registered in the online group having a certain relationship with the user. Here, the online group refers to various types of online communities in which a plurality of users can leave a post, such as a social network service. The second collecting unit 210 may determine whether the user is an online group that is related to the user or not. For example, the second collecting unit 210 may be an online group in which the user is an administrator, an online group in which the number of times the user has visited is greater than or equal to a predetermined number, And online groups connected via social networks. As another example, the second collecting unit 210 may collect a post of an online group that is in a friend relationship with a user in a social network service such as Facebook.

The first collecting unit 200 and the second collecting unit 210 can collect only the posts up to a certain past time point at the present time. For this purpose, the first collecting unit 200 and the second collecting unit 210 may collect only the posts created after a certain past time point based on the registered date of the posting.

The first frequency acquiring unit 220 classifies the blogs collected by the first collecting unit 210 into categories, and grasps the frequency of the blogs for each category. For example, the first frequency determination unit 220 may morpheme each post and extract words such as proper nouns such as a noun, a person's name, and a company name, a fluent word, an abbreviation, an alias, and the like, And classifies the article according to a predefined category. It is assumed that word dictionary of each category is constructed in advance, and the kind and amount of words included in the word dictionary of each category can be variously changed according to the embodiment.

For example, the category is classified into IT, economy, society, politics, entertainment, and the like as shown in FIG. 9, and the first frequency determination unit 220 determines whether the post is classified into categories such as IT, (For example, the frequency of each category = the number of posts belonging to each category / the total number of posts). The category can be variously changed according to the embodiment.

The second frequency acquiring unit 230 classifies the online group-based posts collected by the second collecting unit 210 into categories, and grasps the frequency of the posts by each category. The second frequency acquiring unit 230 grasps the frequency of a post by category for each on-line group as shown in FIG. The method of grasping the frequency of the second frequency acquiring unit 230 is omitted because it is substantially the same as the method of grasping the frequency of the first frequency acquiring unit 220. [

The interest field grasping unit 240 grasps the user's interest field based on the frequency of the postings for each category identified by the first frequency grasping unit 220 and the second frequency grasping unit 230. [ Since the postings such as a user-created post, an online group directly managed by the user, or an online group frequently visited by the user indicate the user's area of interest more easily, the area-of-interest-perceiving unit 240 may include a first frequency- ) And the second frequency acquiring unit 230 are given different weights to grasp the area of interest.

For example, the interest field grasping unit 240 may assign a weight of 0.4 to the result 900 of the first frequency grasping unit 220 and give a weight of 0.4 to the result of the second frequency grasping unit 230 as shown in FIG. Weights of 0.07 ~ 0.3 are assigned according to the relevance ranking for the online groups (910, 920, 930, 940), and the final interest score reflecting the interest of the user in each category is calculated in consideration of the weight.

The ranking of the online groups for assigning the weights can be determined by various predetermined criteria. For example, the user can be assigned to the first group from the second rank based on the number of visits to the first group, the group frequently visited by the user, and to the next rank based on the number of friends of the online group. A method of ranking online groups will be described again in FIG.

The feedback unit 250 provides at least two or more higher interest areas to the user based on the ranking of the user's interest area determined by the interest area determination unit 240 and then selects interest areas from the user, Adjust score values to correct user interest. For example, the feedback unit 250 can present the results of the interest field recognition unit 240 as shown in FIG. 11 to the user, and adjust the interest score values for each category according to the user's selection. 11 and 12 again. According to the embodiment, the feedback unit 250 may be omitted.

FIG. 3 is a flowchart illustrating an embodiment of a personalized information providing method according to the present invention.

Referring to FIG. 3, a personalized information providing apparatus (hereinafter, referred to as a 'device') collects the posts registered on the online and the online group related to the user (S300). A specific method of collecting the posts registered by the user is shown in Fig. 4, and a specific method of collecting the posts of the online group is shown in Fig.

The device analyzes the user's online postings and the online group's posts to determine the frequency of postings for each category (S310). For example, the device extracts meaningful words such as nouns by analyzing the morpheme of the posts, classifies the posts by categories using the extracted words and pre-built word dictionaries of each category, Determine the frequency of postings by category based on number. The frequency of the posting will be described in more detail in FIG. 7 and FIG.

The device recognizes the user's area of interest based on the frequency of the publication by category (S320). The device reflects the weights of the postings of the user and the online group differently, and also reflects the weights of the posts of the online group differently according to the relation between the online group and the user, You can identify areas of interest.

The apparatus may further perform a feedback process of correcting the interest field according to the user's selection after presenting the identified interest field to the user according to the embodiment (S330).

4 is a view illustrating an example of a method of collecting user posts for providing personalized information according to the present invention.

Referring to FIG. 4, the device first registers user information such as a user's name, online identifier, and nickname from a user (S400). The device may receive user information such as an identifier or a nickname that a user uses in at least one or more social network services. For example, in a first social network service, a user may register a first identifier and a second identifier used in a second social network service, and then transmit the first identifier, the second social network service, And the second identifiers, respectively.

The device collects the online created identifier or the nickname (S410). For example, the device collects the posts registered with the user's first identifier in the first social network service and the posts registered with the second identifier of the user in the second social network service.

FIG. 5 is a view illustrating an example of a method of collecting a post of an online group in order to provide personalized information according to the present invention.

5, the apparatus recognizes an online group related to a user using user information such as a registered user name, an online identifier, a nickname, and information about online groups to which the user subscribes (S500).

For example, the device can identify an online group of social network services to which a user has subscribed (e.g., a Facebook group, etc.), or a variety of online groups that a user has visited via a user name, online identifier, have. The device can also identify online groups of other users registered as friends in the online group to which the user is subscribed.

The device ranks the plurality of identified online groups based on the association with the user (S510). For example, the apparatus recognizes that the user is a manager as a first rank, grasps at least one or more groups whose number of times the user has visited is a certain number as a second rank group, As shown in FIG.

The apparatus collects the registered online groups from the first rank to the predetermined rank (S520). For example, the device may collect posts only for online groups up to the fourth rank as shown in FIG.

FIG. 6 is a diagram illustrating the ranking of online groups in which posts for providing personalized information according to the present invention exist.

Referring to FIG. 6, the apparatus can rank an online group according to various predetermined criteria. And the device can only collect the posts of a predetermined number of online groups.

For example, the first ranked group may be an online group of social network services (e.g., a Facebook group, etc.) where the user is an administrator. According to an embodiment, there may be a plurality of online groups of social network services, in which the user is an administrator, in this case, based on the number of friends in the online group. As another example, a user may rank relevance based on the number of times a user has visited among the online groups to which the user has subscribed.

7 is a diagram illustrating an example of a method of analyzing a post for providing personalized information according to the present invention.

Referring to FIG. 7, the apparatus extracts meaningful words by analyzing the morpheme of the collected posts (S700). For example, a device can extract only meaningful words, such as nouns and proper nouns, except for an investigation or a conjunction.

The apparatus classifies the postings into one of a plurality of predetermined categories based on the extracted words (S710). For example, the device may pre-build a word dictionary for each category and classify the posts based on which categories of word dictionary the words extracted from the postings are included in. In addition, the device can classify the posts according to predefined categories through various machine learning methods. When the category classification of the posting is completed, the device determines the posting frequency in each category (S720).

FIG. 8 is a diagram illustrating an example of a method of analyzing a post, in particular, a method of analyzing a post of an online group, in order to provide personalized information according to the present invention.

Referring to FIG. 8, the apparatus extracts meaningful words by analyzing a morpheme of a posting collected from a plurality of online groups (S800). Then, the device classifies the postings into respective categories based on the extracted words (S810). At this time, the device classifies the categories of each of the online groups by the online group instead of grouping all of the online group's posts. For example, as shown in FIG. 9, the apparatus classifies the articles collected from the first ranking online group 910 into categories, and classifies the articles collected from the second ranking online group 920 into categories, .

When the category classification of the postings is completed, the device determines the posting frequency in each category for each online group (S820).

The apparatus assigns different weights to the category classification results of the online groups (910, 920, 930, 940) according to the online group rank (S830). This weight is used in the interest field grasping part 240 to calculate the interest score for each category.

FIG. 9 is a diagram illustrating an example of a field of interest in order to provide personalized information according to the present invention.

Referring to FIG. 9 together, a result (900) of analyzing a user-registered post and a result of analyzing a post by online group (910, 920, 930, 940) are shown. Different weights can be assigned to each result to determine a user's interest score for each category.

For example, the final score of interest for each category can be calculated using the following equation.

Figure pat00001

Here, S c represents a user's interest score for each category (c), w i represents a weight, f c i represents a frequency of postings by category of a user or an online group, and n represents the number of groups.

Using the equation (1), the score of interest in the IT field is 17.8 (29.3 * 0.4 + 3.0 * 0.3 + 20.4 * 0.15 + 22.4 * 0.08 + 5.0 * 0.07). The scores of interest for each category calculated using Equation (1) are shown in FIG. Referring to FIG. 10, it can be seen that the score of interest in the IT field is the highest, followed by the score of interest in the social field.

11 is a view illustrating an example of a feedback screen for correcting a score of interest identified according to the present invention.

Referring to FIG. 11, the apparatus provides the user terminal with a plurality of interest fields, which are determined based on interest scores for each category, so that the user can select the interest fields. The device provides only category information (e.g., IT, economy, society, etc.) of interest in the feedback process, or provides related contents in the field as shown in FIG. For example, the device can search for and provide relevant contents on the Internet of interest, and at this time, referring to the user information such as the user's age or gender, the user can search for and provide interest contents suitable for the user.

The present embodiment shows a case where the upper two fields identified in FIG. 10, that is, the IT and the social field, are provided to the user, but three or more fields of interest can be provided to the user according to the embodiment.

When the user selects one of his / her interests through the terminal, the device receives the selection information and adjusts the interest score value of each category. For example, if the user selects '2015 SAT', which is a social field in the field shown in FIG. 11, the apparatus can adjust the score of interest in the IT and social category of FIG. 10 by a predetermined value (for example, 3) 12. ≪ / RTI >

For example, referring to FIG. 10 and FIG. 12, the highest interest of the user prior to the feedback process is the IT field. However, as the user selects the social field in the feedback process, As the score of interest points in the social field increases by 3, the highest interest is corrected to the social field.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include various types of ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like. The computer-readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

The present invention has been described with reference to the preferred embodiments. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (10)

Collecting postings registered by the user on-line;
Collecting a post of an online group related to the user; And
And analyzing an area of interest of a content to be provided to the user based on the frequency of the classified classified by category. The method of claim 1, wherein the collecting of the online-
Receiving an online identifier or nickname of the user from the user; And
And collecting the online registered user's bulletin using the on-line identifier or the nickname. The method of claim 1, wherein the collecting of the posts of the online group comprises:
Determining whether the user is an on-line group, an on-line group visited by the user, or an on-line group connected with the user via a social network;
Determining an order of relevance to the user based on a predetermined criterion of at least one online group identified;
And collecting a predetermined number of online group posts in descending order of the relevance ranking. 2. The method of claim 1,
Extracting a word including a noun by stemming the collected postings;
Classifying the posts into categories based on the extracted criteria based on the extracted criteria; And
And determining a ranking of a field of interest based on the frequency of the posts included in each category. 5. The method of claim 4, wherein the ranking of the area of interest comprises:
Categorizing a category of a post by an online group;
Determining a weight of each online group based on a ranking of relevance to a user of the online group identified according to a predetermined criterion; And
Determining a user's interest score for each category by considering a weight of an online posting registered by the user and a weight for each online group. 2. The method of claim 1,
Identifying at least two areas of interest and providing them to the user;
Receiving from the user one of said at least two fields of interest; And
And correcting the score of interest according to the selection result. A first collecting unit for collecting the online registered user;
A second collection unit for collecting a post of an online group related to the user;
A first frequency grasping unit for classifying the posts collected by the first collecting unit into categories and grasping the frequency of the posts for each category;
A second frequency grasping unit for classifying the online group-based posts collected by the second collecting unit into categories and grasping the frequency of posts per each category; And
And an interest field grasping unit for grasping a field of interest on the basis of the frequency of a post for each category identified by the first frequency grasping unit and the second frequency grasping unit. 8. The method of claim 7,
Further comprising: a feedback unit for providing at least two fields of interest to the user and correcting the field of interest based on the selected result. 8. The apparatus according to claim 7, wherein the second frequency-
It is possible to classify the categories of the posts by the online groups for the posts of the online group, to grasp the frequency of the posts included in each category of the online groups, And determines the weight of the group. A computer-readable recording medium storing a program for performing the method according to any one of claims 1 to 6.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190002939A (en) * 2017-06-30 2019-01-09 충북대학교 산학협력단 Apparatus and method for providing search result

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140113852A (en) 2013-03-15 2014-09-25 노영희 An optimized personal service system and the service method using this system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140113852A (en) 2013-03-15 2014-09-25 노영희 An optimized personal service system and the service method using this system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190002939A (en) * 2017-06-30 2019-01-09 충북대학교 산학협력단 Apparatus and method for providing search result

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