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Personalized recommendation method integrating social influence and project association

A recommendation method and project technology, applied in the direction of instruments, calculations, electrical digital data processing, etc., can solve the problems of limiting the effect of social recommendation system, not providing user trust and user influence, etc.

Active Publication Date: 2020-07-10
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the current social recommendation model, the system only provides a displayed social network between users, and does not provide the influence of user influence on trusted users in the social network, which greatly limits the effect of the social recommendation system

Method used

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  • Personalized recommendation method integrating social influence and project association
  • Personalized recommendation method integrating social influence and project association
  • Personalized recommendation method integrating social influence and project association

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Embodiment Construction

[0055] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0056] The technical scheme that the present invention solves the problems of the technologies described above is:

[0057] In this embodiment, a personalized recommendation method based on fusion of social influence and item association is performed as follows.

[0058] Step 1: Build user influence

[0059] Step 1.1 In social networks, there is a relationship of mutual trust between people. Usually, the system cannot directly give a very accurate value to reflect the degree of trust between two users. The trust value given by the system is binary , the value is [0,1], so it is necessary to distinguish the trust value of users in the trust network, and define the personal influence value measurement form...

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Abstract

The invention requests to protect a personalized recommendation method integrating social influence and project association. The method comprises the steps: calculating social influence and similarityof users based on social relation data and user scoring data of the users, and obtaining influence values of the users; according to the influence value of the user, carrying out exponential constraint on the potential feature vector of the trusted user, enhancing the trust relationship of intimate friends, and establishing the potential trust feature vector of the user influence; performing association calculation on the projects by using the user scoring data to obtain association values among the projects, thereby constructing a project association matrix; and finally, carrying out joint recommendation by utilizing the influence of the user and project associated information in probability matrix decomposition. According to the method, the recommendation efficiency can be improved while good recommendation accuracy is ensured.

Description

technical field [0001] The invention belongs to the field of personalized recommendation, and specifically relates to a personalized recommendation method integrating social influence and item association. Background technique [0002] While the Internet provides people with convenient network information, the problem of information overload becomes more and more serious. How to provide users with efficient information from massive amounts of data is a huge challenge that the Internet is currently facing. In this context, the recommendation system came into being. In the case of unclear user needs, the recommendation system analyzes potential needs by mining historical user behavior, helps users filter invalid information, effectively organizes and presents Internet information in a scientific and systematic form, and helps users discover the value of items. [0003] In recent years, with the recommendation system being widely used in major e-commerce websites, the recomme...

Claims

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Application Information

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IPC IPC(8): G06F16/9536
CPCG06F16/9536
Inventor 张功国黄浩张为易
Owner CHONGQING UNIV OF POSTS & TELECOMM
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