TWI674548B - Account identification system and method for cross-community system - Google Patents

Abstract

The invention relates to a cross-community system-based account identification system and method. The main structure includes a community link software for linking to a social system, an authorization identification unit, a data retrieval module, and at least one data comparison. Unit, an integrated prediction unit, and an intention integration unit, wherein the social system includes a plurality of service group monitoring devices that store a plurality of individual user information and user open information. With the above structure, if there is authorized information, the user's open information of users in the monitoring devices of each service group is read, and the same status data is obtained after comparison, so as to establish cross-service corresponding to individual user information Identify the data, and finally summarize and provide the information that the user is concerned about. In this way, cross-community identification information is established, and big data such as user habits, preferences, and needs are more accurately grasped.

Description

Account identification system and method for cross-community system

The present invention provides an account identification system and method for a cross-community system, and more particularly, it can predict users' accounts in different communities and establish a common identification system to provide services that better meet user habits, preferences and needs. Account identification system and method for cross-community system.

According to the press, the online community refers to the online communication that exists on the Internet, and communicates freely through graphics, video, and audio through Facebook, Wechat, Line, Yahoo, Google, or websites of governments and private organizations. Virtual community. Therefore, an online community is a group of people who form a group on the Internet for common interests, hobbies, or interests.

In addition, groups such as families, chat rooms, or forums built on these online platforms bring together people interested in the same topic, and members of these groups form multiple networks with different topics. Community. It can be seen that the data recorded by members of the same group on the Internet platform usually have the same theme, and the major changes in electronics and communication technology have greatly promoted the development of this Internet-based network community. And prosperity, and become an important channel for modern people to socialize.

In addition, with the advent of the era of big data, in order to actively provide consumers with more appropriate advertisements or messages, major online platforms have gradually launched related MLM systems. The MLM system uses relevant information left by different users in the same group in its own online platform, such as: purchased goods or services, clicked websites or graphic videos, participating activities or groups, Even haunted businesses or areas to infer users ’recent preferences, interests, and needs to provide ads or messages related to the above.

However, when the above-mentioned MLM system is used, it simply relies on its own Internet platform, which makes the source of information for speculation too narrow, so it often leads to the failure of providing advertisements or messages to satisfy users or to provide non-users' attention Things, and even repeatedly provide the opposite effect.

Therefore, how to solve the above-mentioned conventional problems and shortcomings is the direction in which the inventors of the present invention and related manufacturers engaged in this industry are eager to study and improve.

Therefore, the inventor of the present invention, in view of the above-mentioned shortcomings, collected relevant information, evaluated and considered from various parties, and based on years of experience accumulated in this industry, through continuous trial and error, he began to design such predictable users. Community account numbers, and a common identification system, and an inventor of an account identification system and method of a cross-community system that provides services that better meet user habits, preferences, and needs.

The main purpose of the present invention is to use the data acquisition module and the data comparison unit to integrate the open data of fragmented users in various network services, and use the integrated prediction module to summarize and predict the corresponding individual users. Create cross-service identification information as integrated user identification information.

Another main object of the present invention is to summarize the user's attention information through the user open information extracted by the data acquisition module through the intention integration unit, and then provide services that meet user habits, preferences, and needs.

To achieve the above object, the main structure of the present invention includes: a community link software for connecting to a social system, and the social system includes a plurality of service group monitoring devices for users to connect and log in, and each of the service groups The group monitoring device stores a plurality of individual user information and user open information corresponding to each individual user information, and the community link software information is linked with an authorization identification unit for requesting the community system to provide the service groups Monitoring the authorization information of the device, and the authorization identification unit is linked with a data extraction module for extracting the user open information according to the authorization information, and a data comparison unit is provided on the side of the data extraction module for The content of the information is compared to the user to obtain at least two identical status data, and the information comparison unit information is linked with an integrated prediction unit, which predicts the corresponding individual user information based on the status data to create a cross-service Identifying information, and linking the data extraction module information to an intent integration unit, based on the data extraction module Users of open information, summed up the user's attention information.

When using it, first use the social link software to connect to the social system, and the authorization identification unit obtains the authorization information of the service group monitoring device, so that the data extraction module can extract the fragmented user open information scattered in the monitoring device of each service group. Then, the data comparison unit finds the same status data for the integrated prediction unit to predict and predict the user identification of the individual user information applied, thereby establishing a cross-service identification information that can represent the user corresponding to the individual user information. In this way, you can use the intent integration unit to extract the user's open information based on the data extraction module, summarize the user's attention information, and grasp the user's habits, preferences, and other big data more accurately.

With the above-mentioned technology, it is possible to break through the problems of too narrow information sources in the conventional MLM system, rely on a single network platform, and provide inaccurate advertisements or information, so as to achieve the practical advancement of the above advantages.

1‧‧‧ Community Link Software

2‧‧‧ Authorization Identification Unit

21‧‧‧Authorization Information

3‧‧‧Data Acquisition Module

31‧‧‧Data Comparison Unit

311‧‧‧Status Information

32‧‧‧Category Screening Unit

4‧‧‧ Integrated Forecasting Unit

41‧‧‧Cross service identification information

5‧‧‧ Intention integration unit

51‧‧‧Follow Information

6‧‧‧ communication service software

61‧‧‧ Dissemination of information

7‧‧‧ community system

71‧‧‧Service group monitoring device

71a‧‧‧The first service group monitoring device

71b‧‧‧Second service group monitoring device

711‧‧‧Individual user information

712‧‧‧User Open Information

712a‧‧‧First user open information

712b‧‧‧Second User Open Information

The first diagram is a schematic structural diagram of a preferred embodiment of the present invention.

The second figure is a structural block diagram of a preferred embodiment of the present invention.

The third figure is a block flow diagram of a preferred embodiment of the present invention.

The fourth figure is a schematic diagram of the architecture of a social system according to a preferred embodiment of the present invention.

The fifth figure is a schematic diagram of data acquisition according to a preferred embodiment of the present invention.

The sixth diagram is a schematic diagram of data comparison and integration prediction of the preferred embodiment of the present invention.

In order to achieve the above-mentioned object and effect, the technical means and structure adopted by the present invention are described in detail below with reference to the preferred embodiments of the present invention.

Please refer to the first to third figures, which are structural schematic diagrams to block flow diagrams of the preferred embodiment of the present invention. It can be clearly seen from the figure that the present invention includes: a community link software 1 for linking. To a social system 7, the social system 7 includes a plurality of service group monitoring devices 71 for users to connect and log in, and each service group monitoring device 71 stores a plurality of individual user information 711, and The corresponding user open information 712 corresponding to the individual user information 711; an information identifying the authorization identification unit 2 of the community link software 1 for requesting the community system 7 to provide the authorization information 21 of the service group monitoring devices 71; at least one The information extraction module 3 information-linked to the authorization identification unit 2 extracts the user open information 712 according to the authorization information 21, and the data extraction module 3 includes a category screening unit 32, which is composed of the service groups. The monitoring device 71 selects the person with the highest category relevance and extracts the user open information 712 required by the intention integration unit 5 below; a data comparison unit 31 provided on the side of the data acquisition module 3 is for comparison Open to users The content of the message 712 is to obtain at least two identical state data 311, which is one of a photo, a nickname, a mood state, or a conversation style (differentiated by the use of common words and phrases); an information linking the data The integrated prediction unit 4 of the comparison unit 31 is based on the status data. 311 predicts the corresponding individual user information 711 to establish a cross-service identification information 41; an information linking the intent integration unit 5 of the data extraction module 3 is based on the user open information extracted by the data extraction module 3 712 To summarize the user's attention information 51; and an information linking the communication service software 6 of the intention integration unit 5 to provide the user with at least one communication information 61 based on the cross-service identification information 41 and the attention information 51.

The account identification method of the cross-community system of the present invention includes the following steps: (a) login to the community: the user logs in to the multiple service group monitoring device 71 through a social system 7 link; (b) leaves information step : The service group monitoring devices 71 store individual user information 711 and user open information 712 of the user; (c) linking the community steps: using a community linking software 1 to link to the community system 7; (d) requesting Authorization step: an authorization identification unit 2 requests the community system 7 to provide authorization information 21 of the service group monitoring devices 71; (e) data retrieval step: using a data retrieval module 3 to extract the user's open Contents of information 712; (e1) Category screening step: A category screening unit 32 is used to select those with high category relevance from the service group monitoring devices 71 to extract the user open information 712 required by the intention integration unit 5 described below (F) data comparison step: using a data comparison unit 31 to compare the contents of the information 712 to the user, and obtain at least two identical status data 311; (g) integrated prediction step: based on an integrated prediction unit 4 Which states Data 311 predicts the corresponding individual user information 711 to establish a cross-service identification information 41; (h) Image integration step: the user open information 712 extracted by the intention integration unit 5 according to the data extraction module 3 is summarized User's attention information 51; (i) Dissemination service step: A dissemination service software 6 provides the user with at least one dissemination information 61 according to the cross-service identification information 41 and the attention information 51.

With the above description, we can understand the structure of this technology, and according to the corresponding cooperation of this structure, users' accounts of different communities can be predicted, and a common identification system can be established to provide more in line with user habits, preferences, and Demand services and other advantages, and detailed explanation will be described below.

Please refer to FIG. 1 to FIG. 6 at the same time, which are schematic structural diagrams of the preferred embodiment of the present invention. Figure to data comparison and integration prediction diagram. With the above components, it can be clearly seen from the figure that when users are using Facebook, Wechat, Line, Whatsapp, Google Plus (G + ) Or Twitter (Community System 7), and link to a group that has logged in to a common theme such as a fan group, family, or group, that is, log in to the community step (a), which is usually in the social system 7 , Leaving names, phone numbers, mailboxes and other individual user information 711 belonging to personal data (inconvenient public information), and may leave photos, nicknames, mood states, conversation styles, etc. belonging to status data 311 (publicly available information) The user opens the information 712, that is, leaves the information step (b), and each of the different service group monitoring devices 71 (the chat robot in this embodiment) manages the above-mentioned link login action, and the public or private information (such as the fourth As shown). The present invention uses the social connection software 1 and other requirements to connect at least one of the social systems 7, that is, to connect the community step (c), and then crosses the service group monitoring device 71 under each social system 7 to obtain After the required status data 311, perform integrated analysis and other actions, and finally provide advertisements or messages desired by the user. In addition, if there are multiple service group monitoring devices 71 under the same social system 7, the required status data 311 can also be obtained.

Specifically, please also refer to the fifth figure. After connecting the community, the authorization identification unit 2 is first used to request the community system 7 to provide authorization for the service group monitoring devices 71. At this time, if this The user of the invention and the social system 7 have obtained the data use rights of the service group monitoring devices 71 through transaction behavior or contract behavior, etc., and the authorization identification unit 2 can successfully obtain the authorization information 21, that is, request Authorization step (d). Then, the data acquisition module 3 can be used to search the user open information 712 stored in each service group monitoring device 71 to collect fragmentary partial data scattered everywhere, namely, the data acquisition step (e), Also, because the permissions required for this action are not large, it will not cause too much cost burden on the end of the user, especially the action of the data retrieval module 3, which simply extracts the last picture or text presented, and There is no need to analyze and decode, so in the subsequent data comparison step, only the appearance similarity comparison is required. The technology is simple and efficient, and the user can also use the category filtering unit 32. When data is retrieved, From these service group monitoring devices 71, those with high category relevance are additionally selected to extract the user open information 712 required by the intent integration unit 5, wherein the selected categories are financial, communication, catering, apparel, One of entertainment, home life, transportation, or cultural youth can narrow the search scope and increase the accuracy of subsequent judgments, that is, the category screening step (e1).

Please also refer to the sixth figure at the same time, which uses a data comparison unit 31 to compare the content of the information 712 to the user so that the device 71 (or even a social system) can be monitored by different service groups. 7) Obtain at least two identical status data 311, that is, the data comparison step (f), and the integrated prediction unit 4 can infer the corresponding individual user information 711 according to the status data 311 to establish a cross-service identification information 41, that is, the integrated prediction step (g). For example, when the data comparison unit 31 finds the first user open information 712a (such as a photo and a conversation style) in the first service group monitoring device 71a, it opens up with the second user in the second service group monitoring device 71b. Information 712b (such as photos and dialogue styles) has the same content of at least two status data 311. At this time, the integrated prediction unit 4 can boldly speculate that the first and second user open information 712a and 712b are the same use. The cross-service identification information 41 is created by the user to represent the common account of the user in the first service group monitoring device 71a and the second service group monitoring device 71b. In this way, the cross-community system 7 is completed. The pre-operation of the account identification action also avoids the problem that the identification and speculation cannot be performed when certain status data 311 is blocked or obscured by the system.

Finally, through the intention integration unit 5 according to the data extraction module 3, the user open information 712 extracted in each service group monitoring device 71 is summarized into the user's attention information 51, such as purchased goods or services, clicks Website or graphic video, participating in an event or group, or even a haunted business or area, that is, image integration step (h). In this way, you can more accurately grasp big data such as user habits, preferences, and needs, and this big data can be resold to other advertising vendors to profit from it, or further use communication service software6. According to the cross-service The identification information 41 and the attention information 51 are proactively provided by the user to at least one dissemination information 61, and the big data that is more in line with demand attracts consumers' attention to improve the effectiveness of advertising, which is the dissemination service step (i).

However, the above description is only the preferred embodiment of the present invention, and it does not limit the patent scope of the present invention. Therefore, all simple modifications and equivalent structural changes made by using the description and drawings of the present invention should be the same. It is included in the patent scope of the present invention and is incorporated by Chen Ming.

To sum up, the account identification system and method of the cross-community system of the present invention, when used, can really achieve its efficacy and purpose. Therefore, the present invention is an invention with excellent practicality and is in line with the application for an invention patent. In order to ensure the hard work of the inventor, the jury shall submit an application in accordance with the law. If there is any suspicion in the jury of the jury, please follow the instructions of the letter.

Claims (10)

An account identification system of a cross-community system mainly includes: a community link software for linking to a community system, the community system includes a plurality of service group monitoring devices for users to connect and log in, and each of the The service group monitoring device stores a plurality of individual user information and user open information corresponding to each of the individual user information; an information linking the authorization identification unit of the community link software is for requesting the community system to provide the services Authorization information of the group monitoring device; at least one information is connected to the data extraction module of the authorization identification unit, which extracts the user open information according to the authorization information; a data comparison set on one side of the data extraction module The unit is to compare and open the content of the information to these users to obtain at least two identical status data; an information link to the integrated prediction unit of the data comparison unit is to predict the corresponding individual user information based on the status data, To establish a cross-service identification information; and an information linking the intent integration unit of the data extraction module, which is based on the data extraction module Open to extract the user information, the user's attention summarized information. The account identification system of the cross-community system described in item 1 of the scope of the patent application, which further includes a communication service software linking the intent integration unit with information, providing users with at least -Dissemination of information. According to the account identification system of the cross-community system described in item 1 of the scope of the patent application, the data extraction module includes a category screening unit, and the ones with high category relevance are selected from the service group monitoring devices. Extract the user open information required for the intent integration unit. The account identification system of the cross-community system as described in item 3 of the scope of patent application, wherein the selected category is financial, communication, catering, apparel, entertainment, home life, transportation, or cultural youth One of them. The account identification system of the cross-community system described in item 1 of the scope of the patent application, wherein the status data is one of a photo, a nickname, a mood status, or a conversation style. A cross-community system account identification method, the steps include: (a) a user logs in to a plurality of service group monitoring devices through a social system link; (b) the service group monitoring devices store individual user information of the user And user open capital (C) use a community link software to connect to the social system; (d) an authorization identification unit requests the social system to provide authorization information for the service group monitoring devices; (e) uses a data The extraction module extracts the content of the user's open information; (f) uses a data comparison unit to compare the content of the open information to the user and obtains at least two identical status data; (g) an integrated prediction unit based on the information The status data predicts the individual user information corresponding to establish a cross-service identification information; and (h) summarizes the user's attention information with an intentional integration unit based on the user open information extracted by the data extraction module. The method for identifying accounts in a cross-community system as described in item 6 of the scope of patent application, further comprising step (i) providing a user with at least one communication information based on the cross-service identification information and the attention information by a communication service software. The method for identifying accounts in a cross-community system as described in item 6 of the scope of patent application, further comprising step (e1) using a category filtering unit to select those with high category relevance among the service group monitoring devices to extract the Information intended for users who want to integrate the unit. The account identification method of the cross-community system according to item 8 of the scope of patent application, wherein the selection category is financial, communication, catering, apparel, entertainment, home life, transportation, or cultural youth One of them. The account identification method of the cross-community system according to item 6 of the scope of patent application, wherein the status data is one of a photo, a nickname, a mood status, or a conversation style.