Heterogeneous information network based content providing method and system

A technology of heterogeneous information network and content, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of sparse scoring matrix and less effective scoring.

Active Publication Date: 2014-10-01
NORTHEAST NORMAL UNIVERSITY
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Problems solved by technology

Since rating matrices are generally very sparse, the main challenge of collabor

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  • Heterogeneous information network based content providing method and system
  • Heterogeneous information network based content providing method and system
  • Heterogeneous information network based content providing method and system

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Embodiment Construction

[0072] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0073] A system that provides content services to users usually has two modes: push and pull, and users can log in to the inquiry machine in either the pull mode or the push mode. In the push mode, when the user logs in to the query machine, it can promptly push the relevant content predicted by the recommendation system to the user that may be most interesting to the user according to the user's previous service subscription status and query history; the pull mode makes query requests for the user When , combined with the user's query history, the recommendation system recommends more likely relevant content to the user. The present invention can be a system with a single push mode or a pull mode, or a system with both modes.

[0074] First, the method flowchart of the first embodiment of the present invention is introduced.

[0075] r...

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Abstract

The invention discloses a heterogeneous information network based content providing method. When users subscribe to a recommendation service, content is recommended to the users through an optimal prediction matrix, a similarity matrix of the users and a similarity matrix of projects are obtained by an element path based similarity calculation method according to a heterogeneous information network through the optimal prediction matrix, the fusion is performed on two or three of the user similarity matrix, a user and project evaluation matrix and the project similarity matrix to obtain the internal relation between the users and the projects, the prediction is performed by a collaborative filtering based matrix decomposition prediction method, and results are combined to obtain the optimal prediction matrix. According to the heterogeneous information network based content providing method, the recommendation accuracy is effectively improved, the results which are accord with the will of the users can be recommended to the users through limited time calculation on the basis of the existing data, the cold start problem is partially solved, and the interpretability of the recommended results is improved.

Description

technical field [0001] The invention relates to a content providing method and system, in particular to a content providing method and system based on a heterogeneous information network. Background technique [0002] With the development of science and technology, we have now entered the era of information explosion. Due to the emergence of massive information, the utilization rate of information has been reduced, resulting in a phenomenon called information overload. Especially in the current era of big data, how to accurately find the information you need from the massive data is a very urgent problem. The recommendation system is an effective means to solve this problem. [0003] Collaborative filtering method is the earliest and most researched field in recommendation system, and has been widely used in the industry. The basic idea is that if users have the same preferences in the past, they will also have similar preferences in the future. Pure collaborative filteri...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2457G06Q10/04
Inventor 张邦佐桂欣何涛杨晟雨孙焕垚韩宇茹
Owner NORTHEAST NORMAL UNIVERSITY
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