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Recommendation system scoring prediction method based on cloud model facing social network

A social network and recommendation system technology, applied in the field of recommendation system scoring prediction, can solve the problems of lack of good solutions, sparse data and inconsistent scoring standards, and achieve the effect of improving prediction accuracy

Active Publication Date: 2017-05-10
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0005] However, for the problems of data sparsity and non-uniform scoring standards, the current recommendation system score prediction method is still not well resolved. In order to improve the accuracy of score prediction and enhance the performance of the recommendation system, we need to start from the problem and formulate a suitable solution

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  • Recommendation system scoring prediction method based on cloud model facing social network
  • Recommendation system scoring prediction method based on cloud model facing social network
  • Recommendation system scoring prediction method based on cloud model facing social network

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Embodiment Construction

[0025] 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.

[0026] The technical scheme that the present invention solves the above-mentioned technical problem is,

[0027] likefigure 1 It is the overall flow chart of the present invention, including data acquisition, unification of scoring standards, discovery of similar groups of users, and comprehensive scoring prediction. Download or use the public API of a mature social platform to obtain. Through the capture of data sources, the user's historical rating records and personal social network information are obtained, so as to construct the rating matrix from the user to the project and the user's friend vector; use the comprehensive cloud technology to unify the user rating standards; use the K-means clustering...

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Abstract

The present invention provides a recommendation system scoring prediction method based on a cloud model facing the social network, belonging to the data excavation and information retrieval field. The method employs a data set in a scoring social network site to collect a user historical scoring record and the user social relation. Aiming at the user scoring subjectivity, an inverse cloud generator constructs scoring cloud for the user scoring, a comprehensive cloud model is employed to fuse all the user scoring cloud to generate a father cloud, a new score is generated under the father cloud, and the score is used for the clustering of the users to discover the user similar colony. A multi-rule comprehensive prediction method is constructed based on the Gaussian transformation through introducing a membership and high-dimensional cloud model and combination of the user social relation to overcome the scoring data sparse problem.

Description

technical field [0001] The invention relates to the fields of data mining and information retrieval, relates to personalized recommendation of a recommendation system, and is a cloud model-oriented score prediction method for a recommendation system oriented to a social network. Background technique [0002] The emergence and popularization of the Internet has brought a large amount of information to users, which has met the needs of users for information in the information age. However, with the rapid development of the Internet, the amount of information on the Internet has continued to increase, and the problem of information overload has followed. To solve the problem of information overload, domestic and foreign experts and scholars continue to propose new methods, such as strengthening search engines and optimizing recommendation schemes. [0003] In recent years, recommendation systems have been favored more and more by Internet of Things giants and e-commerce compani...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/02G06Q50/00G06F17/30
CPCG06Q10/02G06Q50/01G06F16/9535
Inventor 肖云鹏孙华超刘宴兵刘彦驰李唯果张克毅
Owner CHONGQING UNIV OF POSTS & TELECOMM
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