Recommendation method and system based on collaborative filtering

A collaborative filtering and recommendation method technology, applied in the field of network communication, can solve the problems of quality degradation and low recommendation accuracy, and achieve the effect of improving accuracy

Active Publication Date: 2010-03-31
HUAWEI TECH CO LTD
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  • Abstract
  • Description
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Problems solved by technology

This will inevitably lead to low recommendation accuracy and quality degradation

Method used

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  • Recommendation method and system based on collaborative filtering
  • Recommendation method and system based on collaborative filtering
  • Recommendation method and system based on collaborative filtering

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Embodiment Construction

[0026] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0027] In the embodiment of the present invention, a method is first proposed to group users based on the user-item rating matrix, each user group only contains the rating data of all items of users in the group, and then independently calculates the similarity between items on each user group , and finally recommend the target user based on the calculated similarity in the target user group.

[0028] Such as image 3 Shown is a schematic structural diagram of a recommendation system based on collaborative filtering provided by Embodiment 1 of the present invention. The recommendation system includes: a recommendation control module 51, a generation recommendation module 52, a module 54 for determining a set to be recommended, a database 55, a scoring prediction module 53, and a timer 56, a user grouping module 57, a ...

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Abstract

A recommendation method based on collaborative filtering includes: acquiring target user identification, searching user group identification corresponding to the target user identification, acquiringsimilarity between items confirmed according to user-item grade matrix corresponding to the user group identification; and recommending item to the target user according to the similarity between items. By adopting the recommendation method provided by the invention, accuracy of item recommendation can be improved, and user experience can be improved. The invention also provides a recommendation system based on collaborative filtering.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a recommendation method and system based on collaborative filtering. Background technique [0002] The recommendation system is an intelligent agent system proposed to solve the problem of information overload, which can automatically recommend resources that meet their interests, preferences or needs from a large amount of information to users. With the popularity and rapid development of the Internet, recommender systems have been widely used in various fields, especially in the field of e-commerce, recommender systems have been more and more researched and applied. At present, almost all large e-commerce websites use various forms of recommendation systems to varying degrees, such as Amazon, CDNOW, eBay and Dangdang online bookstores. Among them, collaborative filtering technology has achieved greater success in the current application of recommendation systems....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/00G06Q10/00
CPCG06Q10/10
Inventor 杜家春汪芳山方琦谭卫国钟杰萍
Owner HUAWEI TECH CO LTD
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