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Community recommendation method based on on-line soft constraint LDA algorithm

A soft constraint, community technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as overfitting, large amount of calculation, etc., and achieve the effect of improving computing efficiency

Inactive Publication Date: 2011-02-09
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problems of over-fitting phenomenon and huge amount of calculation that are easily encountered in existing community recommendation methods due to the limitation of data observation

Method used

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  • Community recommendation method based on on-line soft constraint LDA algorithm
  • Community recommendation method based on on-line soft constraint LDA algorithm
  • Community recommendation method based on on-line soft constraint LDA algorithm

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0028] Such as figure 1 As shown in , it is a schematic diagram of a system for applying the present invention to perform community recommendation for users. The system includes a foreground crawler and a background computing unit. In the foreground, the crawler is responsible for fetching all the information from the web that the system needs to process. In the background operation unit, the method contained in the present invention is used ...

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Abstract

The invention relates to a community recommendation method based on an on-line soft constraint linear discriminant analysis (LDA) algorithm, which belongs to the field of social networks. The invention aims to solve the problems of over-fitting and high computing amount due to the restriction of data observation, which are common in the current community recommendation method. The invention mainly utilizes the number of posting in each community as the soft constraint, computes the potential subject distribution in the community by using the LDA algorithm, processes the newly added users by using an increment method, and updates the model in real time, thereby achieving the effect of on-line operation. The method can be used for automatically computing the subject distribution in the community on the premise of lacking user characteristics and community characteristics, and finally estimates the community which the user is most interested; and thus, the on-line method greatly enhances the computational efficiency. The invention obviously improves the accuracy rate and speed as compared with the popular method at present.

Description

technical field [0001] The invention relates to a personalized recommendation method, in particular to a community recommendation method based on an online soft constraint LDA algorithm. Background technique [0002] In recent years, social networks have sprung up in large numbers. These pages provide users with tools to build communities, allowing like-minded users to gather together and share information of interest to each other. With the rapid increase of such social network services, users will be confused when faced with a large number of communities with various themes. How can they efficiently choose the communities they are interested in? Therefore, community recommendation has gradually become a very important technology. [0003] Currently, there are two common personalized recommendation methods: one is content-based recommendation, and the other is collaborative recommendation. The content-based recommendation method uses each user's comments or voting behavi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 俞能海康雨洁
Owner UNIV OF SCI & TECH OF CHINA
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