WO2019080585A1 - Procédé et système pour noter la valeur d'un cercle social - Google Patents
Procédé et système pour noter la valeur d'un cercle social Download PDFInfo
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- WO2019080585A1 WO2019080585A1 PCT/CN2018/099097 CN2018099097W WO2019080585A1 WO 2019080585 A1 WO2019080585 A1 WO 2019080585A1 CN 2018099097 W CN2018099097 W CN 2018099097W WO 2019080585 A1 WO2019080585 A1 WO 2019080585A1
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000013507 mapping Methods 0.000 claims abstract description 15
- 230000004397 blinking Effects 0.000 claims description 4
- 230000009286 beneficial effect Effects 0.000 description 4
- 235000003434 Sesamum indicum Nutrition 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013077 scoring method Methods 0.000 description 2
- 241000207961 Sesamum Species 0.000 description 1
- 244000000231 Sesamum indicum Species 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
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Classifications
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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
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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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
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
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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
- G06Q50/01—Social networking
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
Definitions
- the present invention relates to the field of software, and in particular, to a method and system for scoring a social circle value.
- Social circles are a feature of social media platforms. Each user's value or influence in different social circles is different. There are currently no indicators that can be used to measure or characterize the value of each user in different social circles.
- the technical problem to be solved by the present invention is to provide a scoring method and system that can be used to characterize the value of each user in different social circles.
- the technical solution adopted by the present invention is:
- a method of scoring social circle values including:
- Step S1 Receive personal information transmitted by the client, where the personal information includes user quality data, user media data, user industry data, and transaction score data;
- the user quality data includes identity data, academic data, financial data, and custom data;
- the user media data includes an application program and a website;
- the user industry data includes occupation information and job title information;
- the transaction score data includes historical transaction times and historical transaction results;
- Step S2 Calculating a corresponding first score according to the user quality data, user media data, user industry data, and transaction score data;
- Step S3 Query a preset mapping table, and obtain a first weight value corresponding to the first score, where the preset mapping table is configured to store a score value and a weight value corresponding to the score one-to-one;
- Step S4 Calculate a corresponding first comprehensive score according to the user quality data, user media data, user industry data, transaction score data, and the first weight value;
- Step S5 Associate the first comprehensive score with the personal information, store it on the server, and publish the identification code corresponding to the personal information with the first comprehensive score, so that other customers select the object that needs to be traded. .
- a scoring system for social circle value comprising one or more processors and a memory, the memory storing a program, the program being executed by the processor to implement the following steps:
- Step S1 Receive personal information transmitted by the client, where the personal information includes user quality data, user media data, user industry data, and transaction score data;
- the user quality data includes identity data, academic data, financial data, and custom data;
- the user media data includes an application program and a website;
- the user industry data includes occupation information and job title information;
- the transaction score data includes historical transaction times and historical transaction results;
- Step S2 Calculating a corresponding first score according to the user quality data, user media data, user industry data, and transaction score data;
- Step S3 Query a preset mapping table, and obtain a first weight value corresponding to the first score, where the preset mapping table is configured to store a score value and a weight value corresponding to the score one-to-one;
- Step S4 Calculate a corresponding first comprehensive score according to the user quality data, user media data, user industry data, transaction score data, and the first weight value;
- Step S5 Associate the first comprehensive score with the personal information, store it on the server, and publish the identification code corresponding to the personal information with the first comprehensive score, so that other customers select the object that needs to be traded. .
- the method and system for scoring a social circle value calculates a corresponding first score by using user information uploaded by a customer, user quality data, user media data, user industry data, and transaction score data in the personal information. Obtaining a first weight value that is dynamically changed according to the first score, and calculating a corresponding first comprehensive score according to the user quality data, the user media data, the user industry data, the transaction score data, and the first weight value;
- the first comprehensive score is used to characterize each customer's value in the corresponding social circle, and it is associated with the customer's personal information and uploaded to the server. Other customers can understand the value of the customer in the corresponding social circle through the server, so as to provide better.
- the service is conducive to the rapid promotion of information.
- FIG. 1 is a flow chart showing the steps of a method for scoring social circle values according to the present invention
- FIG. 2 is a structural block diagram of a social circle value scoring system according to the present invention.
- the most critical idea of the present invention is to characterize the value of each customer in the corresponding social circle by the first comprehensive rating.
- a method for scoring a social circle value includes:
- Step S1 Receive personal information transmitted by the client, where the personal information includes user quality data, user media data, user industry data, and transaction score data;
- the user quality data includes identity data, academic data, financial data, and custom data;
- the user media data includes an application program and a website;
- the user industry data includes occupation information and job title information;
- the transaction score data includes historical transaction times and historical transaction results;
- Step S2 Calculating a corresponding first score according to the user quality data, user media data, user industry data, and transaction score data;
- Step S3 Query a preset mapping table, and obtain a first weight value corresponding to the first score, where the preset mapping table is configured to store a score value and a weight value corresponding to the score one-to-one;
- Step S4 Calculate a corresponding first comprehensive score according to the user quality data, user media data, user industry data, transaction score data, and the first weight value;
- Step S5 Associate the first comprehensive score with the personal information, store it on the server, and publish the identification code corresponding to the personal information with the first comprehensive score, so that other customers select the object that needs to be traded. .
- the social circle value scoring method passes the user's quality information, user media data, user industry data and transactions in the personal information through the personal information uploaded by the customer.
- the score data is calculated to obtain a corresponding first score, and the first weight value is dynamically changed according to the first score, and then according to the user quality data, user media data, user industry data, transaction score data, and the first weight.
- the value is calculated to obtain the corresponding first comprehensive score; the first comprehensive score is used to characterize the value of each customer in the corresponding social circle, and is associated with the customer's personal information and uploaded to the server, and other customers can know the customer through the server. Corresponding to the value of social circles, in order to provide better services, will help promote the rapid promotion of information.
- the first weight value includes a user quality weight value, a user media weight value, a user industry weight value, and a transaction score weight value;
- Step S4 further includes:
- the comprehensive score can be calculated by the corresponding weight value, and the method of publishing can be used for other customers to select the object that needs to be traded, so that the user can find a transaction object more suitable for himself, and the transaction parties can be more balanced and equal. , to minimize the gap between the two sides of the transaction, thereby increasing the success rate of the transaction.
- step S5 further includes:
- step S5 further includes:
- step S5 further includes:
- the release duration corresponding to the first comprehensive score is obtained and configured to be released.
- the present invention further provides a social circle value scoring system, comprising one or more processors 1 and a memory 2, wherein the memory stores a program, and when the program is executed by the processor, the following steps are implemented:
- Step S1 Receive personal information transmitted by the client, where the personal information includes user quality data, user media data, user industry data, and transaction score data;
- the user quality data includes identity data, academic data, financial data, and custom data;
- the user media data includes an application program and a website;
- the user industry data includes occupation information and job title information;
- the transaction score data includes historical transaction times and historical transaction results;
- Step S2 Calculating a corresponding first score according to the user quality data, user media data, user industry data, and transaction score data;
- Step S3 Query a preset mapping table, and obtain a first weight value corresponding to the first score, where the preset mapping table is configured to store a score value and a weight value corresponding to the score one-to-one;
- Step S4 Calculate a corresponding first comprehensive score according to the user quality data, user media data, user industry data, transaction score data, and the first weight value;
- Step S5 Associate the first comprehensive score with the personal information, store it on the server, and publish the identification code corresponding to the personal information with the first comprehensive score, so that other customers select the object that needs to be traded. .
- the social circle value scoring system passes the user's quality information, user media data, user industry data and transactions in the personal information through the personal information uploaded by the customer.
- the score data is calculated to obtain a corresponding first score, and the first weight value is dynamically changed according to the first score, and then according to the user quality data, user media data, user industry data, transaction score data, and the first weight.
- the value is calculated to obtain the corresponding first comprehensive score; the first comprehensive score is used to characterize the value of each customer in the corresponding social circle, and is associated with the customer's personal information and uploaded to the server, and other customers can know the customer through the server. Corresponding to the value of social circles, in order to provide better services, will help promote the rapid promotion of information.
- the implementation further includes:
- the first weight value includes a user quality weight value, a user media weight value, a user industry weight value, and a transaction score weight value;
- Step S4 further includes:
- step S5 further comprising the following sub-steps is implemented:
- the corresponding industry score can be calculated by the above method, and the industry score can represent the influence of the user in the industry, and the higher the score, the greater the influence.
- step S5 further comprising the following sub-steps is implemented:
- the corresponding media score can be calculated by the above manner, and the media score can represent the influence of the user on the media. The higher the score, the greater the influence.
- step S5 further comprising the following sub-steps is implemented:
- the release duration corresponding to the first comprehensive score is obtained and configured to be released.
- the historical transaction results will directly affect the comprehensive score, which in turn makes the comprehensive score dynamic adjustment, and promotes the customer to better complete the transaction content.
- Embodiment 1 of the present invention is:
- a method of scoring social circle values including:
- Step S1 Receive personal information transmitted by the client, where the personal information includes user quality data, user media data, user industry data, and transaction score data;
- the user quality data includes identity data, academic data, financial data, and custom data
- the numerical values in parentheses indicate the corresponding scores. For example, if the name field is filled in, the system will detect that there is a fill, and the corresponding score is 10 points.
- the specific identity data includes the following:
- Specific financial data includes the following:
- bank deposits (100,000 to 200,000: 3 points; 200,000 to 500,000: 5 points; 500,000 to 800,000: 6 points; 800,000 ⁇ 1 million: 7 points; 1 million to 1.5 million: 8 points; more than 1.5 million: 10 points);
- Specific custom data includes the following: (users do not need to fill out);
- the user media data includes an application and a website
- Group number (0 ⁇ 500:3 points; 500 ⁇ 1000:6 points; 1000 ⁇ 1500:8 points; 1500 or above: 10 points), group level (1 level: 2 points; 2 levels: 4 points; 3 levels: 6 Points; Level 4: 8 points; Level 5: 10 points);
- Website views (5000 or less: 1 point; 5000 ⁇ 50,000: 2 points; 50,000 to 100,000: 3 points; 100,000 to 300,000: 4 points; 300,000 to 500,000: 5 points; 500,000 to 700,000 : 5 points; 700,000 to 1 million: 6 points; 1 million to 1.2 million: 7 points; 1.2 million to 1.5 million: 8 points; 1.5 million to 2 million: 9 points; 2 million or more: 10 points);
- Website views (5000 or less: 1 point; 5000 ⁇ 50,000: 2 points; 50,000 to 100,000: 3 points; 100,000 to 300,000: 4 points; 300,000 to 700,000: 5 points; 700,000 to 1 million : 6 points; 1 million to 1.2 million: 7 points; 1.2 million to 1.5 million: 8 points; 1.5 million to 2 million: 9 points; more than 2 million: 10 points);
- the user industry data includes occupation information and job title information
- the occupation information is as follows:
- the job title information is as follows:
- the transaction score data includes historical transaction times and historical transaction results
- User scores can be obtained by historical transaction times and historical transaction results, which are divided into one star: 1 point; two stars: 2 points; Samsung: 3 points; four stars: 4 points; five stars: 5 points;
- the overall score is divided into the final star rating by the score range, for example: 1 ⁇ 100 points: one star; 100 ⁇ 300 points: two stars; 300 ⁇ 500 points: Samsung; 500 ⁇ 800 points: four stars; 800 ⁇ 1100 points: five stars; 1100 ⁇ 1600 points: 1 crown; 1600 ⁇ 2600 points: 2 crowns; 2600 points or more: 3 crowns.
- Step S2 Calculating a corresponding first score according to the user quality data, user media data, user industry data, and transaction score data;
- Step S3 Query a preset mapping table, and obtain a first weight value corresponding to the first score, where the preset mapping table is configured to store a score value and a weight value corresponding to the score one-to-one;
- Step S4 Calculate a corresponding first comprehensive score according to the user quality data, user media data, user industry data, transaction score data, and the first weight value;
- the first weight value includes a user quality weight value, User media weight value, user industry weight value, and transaction score weight value;
- Step S4 further includes:
- Step S5 Associate the first comprehensive score with the personal information, store it on the server, and publish the identification code corresponding to the personal information with the first comprehensive score, so that other customers select the object that needs to be traded. .
- Step S5 further includes:
- the release duration corresponding to the first comprehensive score is obtained and configured to be released.
- the comprehensive score is calculated by taking Li Si as an example, as follows:
- Li Si’s star rating is: Samsung.
- the method and system for scoring social circle values provided by the present invention are calculated by user-uploaded personal information, user quality data, user media data, user industry data, and transaction score data in personal information.
- the first comprehensive score; the first comprehensive score is used to characterize each customer's value in the corresponding social circle, and it is associated with the customer's personal information and uploaded to the server. Other customers can know the value of the customer in the corresponding social circle through the server. In order to provide better services, it will help promote the rapid dissemination of information.
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Abstract
L'invention concerne un procédé et un système pour noter la valeur d'un cercle social. Le procédé consiste à : recevoir des informations personnelles transmises par un client, les informations personnelles comprenant des données de qualité d'utilisateur, des données de média d'utilisateur, des données d'industrie d'utilisateur et des données de notation de transaction (étape S1) ; calculer un premier score correspondant en fonction des données de qualité d'utilisateur, des données de média d'utilisateur, des données d'industrie d'utilisateur et des données de notation de transaction (étape S2) ; interroger une table de mappage prédéfinie pour obtenir une première valeur pondérée correspondant au premier score (étape S3) ; calculer un premier score complet correspondant en fonction des informations personnelles et de la première valeur pondérée (étape S4) ; et associer le premier score complet aux informations personnelles, puis stocker le premier score complet et les informations personnelles associés sur un serveur, et publier un code d'identification correspondant aux informations personnelles et au premier score complet (étape S5). La valeur de chaque client dans un cercle social correspondant est représentée au moyen d'un score complet, et d'autres clients peuvent apprendre la valeur du client dans le cercle social correspondant au moyen d'un serveur.
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CN201710991185.0A CN107657489A (zh) | 2017-10-23 | 2017-10-23 | 一种社交圈价值的评分方法及系统 |
CN201710991185.0 | 2017-10-23 |
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Families Citing this family (3)
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CN107767177A (zh) * | 2017-10-23 | 2018-03-06 | 福州领头虎软件有限公司 | 一种在线交易方法 |
CN107657489A (zh) * | 2017-10-23 | 2018-02-02 | 福州领头虎软件有限公司 | 一种社交圈价值的评分方法及系统 |
CN112232719A (zh) * | 2020-12-11 | 2021-01-15 | 北京基调网络股份有限公司 | 一种指标定量评分方法、计算机设备及存储介质 |
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CN105589911A (zh) * | 2014-12-31 | 2016-05-18 | 中国银联股份有限公司 | 客户价值评估方法及系统 |
CN106971316A (zh) * | 2017-03-08 | 2017-07-21 | 陕西识代运筹信息科技股份有限公司 | 一种基于社交用户的数据处理方法和装置 |
CN107169063A (zh) * | 2017-05-03 | 2017-09-15 | 西安交通大学 | 一种基于社交信息的用户属性预测方法与系统 |
CN107657489A (zh) * | 2017-10-23 | 2018-02-02 | 福州领头虎软件有限公司 | 一种社交圈价值的评分方法及系统 |
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2017
- 2017-10-23 CN CN201710991185.0A patent/CN107657489A/zh active Pending
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2018
- 2018-08-07 WO PCT/CN2018/099097 patent/WO2019080585A1/fr active Application Filing
Patent Citations (5)
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US20130311302A1 (en) * | 1999-12-13 | 2013-11-21 | Almondnet, Inc. | Method and stored program for accumulating descriptive profile data along with source information for use in targeting third-party advertisements |
CN105589911A (zh) * | 2014-12-31 | 2016-05-18 | 中国银联股份有限公司 | 客户价值评估方法及系统 |
CN106971316A (zh) * | 2017-03-08 | 2017-07-21 | 陕西识代运筹信息科技股份有限公司 | 一种基于社交用户的数据处理方法和装置 |
CN107169063A (zh) * | 2017-05-03 | 2017-09-15 | 西安交通大学 | 一种基于社交信息的用户属性预测方法与系统 |
CN107657489A (zh) * | 2017-10-23 | 2018-02-02 | 福州领头虎软件有限公司 | 一种社交圈价值的评分方法及系统 |
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