User closeness-based mixed recommending system and method

A mixed recommendation and intimacy technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of scattered, sparse SNS data, poor effect, etc., to reduce coupling, increase possibilities, and enrich The effect of recommended results

Inactive Publication Date: 2013-01-16
北京航空航天大学深圳研究院
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Problems solved by technology

However, due to the sparse and scattered characteristics of SNS data, the effect of simply

Method used

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  • User closeness-based mixed recommending system and method
  • User closeness-based mixed recommending system and method
  • User closeness-based mixed recommending system and method

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the drawings.

[0034] Such as figure 1 As shown, a hybrid recommendation system and method based on user intimacy of the present invention consists of a user intimacy determination module, a recommendation result generation module based on user intimacy, a recommendation result generation module based on collaborative filtering, and a content-based recommendation result generation module. , Results integration module composition.

[0035] The entire implementation process is as follows:

[0036] (1) When it is necessary to recommend an item to a user, scan the website database to obtain the number of sharing, commenting, and "" operations between the user and other users, and then calculate the intimacy between the user and other users based on the number of operations and the set operation contribution value , And normalize the obtained user intimacy, and then save the normalized result in the datab...

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Abstract

The invention discloses a user closeness-based mixed recommending system and a user closeness-based mixed recommending method, which are functional in recommending interesting projects for users in social network sites. The system comprises a user closeness determining module, a user closeness-based recommendation result generating module, a collaborative filtering-based recommendation result generating module, a content-based recommendation result generating module, and a result integrating module. The method is carried out by steps of determining the user closeness, acquiring user closeness-based recommendation result, acquiring collaborative filtering-based recommendation result, acquiring content-based recommendation result, and integrating the results. According to the method, data in the social network sites are fully utilized to make up the disadvantage of a traditional recommending system, therefore, the system application has the advantages of strong practicality, high accuracy and convenient implementation.

Description

Technical field [0001] The present invention is a hybrid recommendation system and method based on user intimacy, and belongs to the field of network data mining in the computer field. Background technique [0002] Social Network Sites (SNS) is an online site that facilitates social interaction between people. SNS users can post photos, status, logs, etc. online, and other users can comment and forward these And so on, to enhance communication and communication between people, so as to achieve the purpose of social interaction. Current SNS generally have a recommendation function, and the purpose of the recommendation function is to recommend items that are of interest to users and may be accepted. On the one hand, this improves the user experience and enables users to find items of interest more quickly. On the other hand, from a business perspective, this can achieve the purpose of SNS marketing. Therefore, it is very important to choose an accurate and efficient recommendati...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 李超余建吕志强
Owner 北京航空航天大学深圳研究院
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