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RSS information recommendation method based on collaborative filtering

An information recommendation and collaborative filtering technology, which is applied in the fields of instruments, computing, and electrical digital data processing, can solve the problems of flooding recommended articles, avoid information redundancy and overload, and achieve the effect of accurate and credible recommended content

Inactive Publication Date: 2010-06-23
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] This will lead to a flood of recommended articles that users get, and it is impossible to get a single article that is accurate to the user's preference.

Method used

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  • RSS information recommendation method based on collaborative filtering
  • RSS information recommendation method based on collaborative filtering
  • RSS information recommendation method based on collaborative filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] A method for recommending RSS information based on collaborative filtering, such as figure 2 As shown, the steps are as follows:

[0029] 7. When a user subscribes to some RSS feeds from a large number of RSS feeds, the server behavior recording module obtains the logged-in user information, queries the session table to obtain the user's unique identity u, together with the unique identifier r of the RSS information source in the system, forms a user The subscription situation of RSS feed Wu, r is updated to the user-RSS feed subscription matrix W(m, n) of the behavior processing module, m is the number of users in the system, n is the number of RSS feeds, subscription situation Wu, The value of r is 1 when subscribed and 0 when not subscribed;

[0030] 8. The behavior processing module obtains the subscription situation Wu, r from the user-RSS source subscription matrix W(m, n), and uses the cosine correlation algorithm to calculate the similarity sim(i p , i q ), ...

Embodiment 2

[0037] An RSS reading system for the above method, such as figure 1 As shown, it consists of a reading module 1, a subscription module 2, a subscription management module 3, a behavior recording module 4, a behavior processing module 6 and a recommendation module 5, and is characterized in that the reading module 1 is connected with the subscription module 2, the subscription management module 3, and the behavior The recording module 4 and the recommendation module 5 are connected; the behavior processing module 6 is connected to the behavior recording module 4 and the recommendation module 5 respectively; the subscription module 2 and the subscription management module 3 are connected to each other, and the modules are shared by control statements implemented by programming. Data from one or more server databases.

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Abstract

An RSS information recommendation method based on collaborative filtering belongs to the technical field of information recommendation. A system comprises a reading module, a subscribing module, a subscription management module, an action recording module, an action processing module and a recommendation module, wherein the reading module is respectively connected with the subscribing module, the subscription management module, the action recording module and the recommendation module; the action processing module is respectively connected with the action recording module and the recommendation module; the subscribing module is interconnected with the subscription management module, and the data in one or more server databases is shared between the modules through control statement realized by programming. The invention enables the recommendation effect not to be limited in the recommendation of the whole RSS information source and highlights the recommendation of individual article, thereby effectively avoiding the information redundancy and overload; the recommendation effect has a certain difference coverage, and is convenient for the user to discover new content with interest; and the invention introduces collaborator user groups and applies the collaborator user group weigh factor to enable the recommendation content to become more precise and more credible.

Description

Technical field [0001] The invention relates to an information recommendation method, in particular to an RSS information recommendation method based on collaborative filtering. Background technique [0002] The current RSS information recommendation method in the Internet can only recommend the entire information source, and cannot perform personalized recommendation for a single article. For example: Google Reader, online RSS readers such as Zhuoxia.com and Xianguo.com cannot complete the personalized recommendation of a single article for fellow users. For example, a patent with the patent number 200510022721.3 and the invention name "A Method for Interactively Processing RSS Information Based on XML Files" belongs to this category. [0003] This will cause the user to get a flood of recommended articles, and it is impossible to obtain an accurate single article that the user likes. Contents of the invention [0004] The technical problem solved by the present inventi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06G06F17/30
Inventor 袁东风王恒颜廷芝徐超林贺陈飞魏斌石祚夫
Owner SHANDONG UNIV
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