Project recommendation method and system

A technology for project recommendation and project, applied in the field of project recommendation methods and systems, can solve the problem of reducing the data transmission speed between e-commerce websites and various user terminals, reducing the response speed and efficiency of e-commerce website user terminals, and wasting the data transmission bandwidth of e-commerce websites and other issues to achieve the effect of increasing data transmission speed, improving accuracy, and saving bandwidth
CN102789462AInactive Publication Date: 2012-11-21ALIBABA GRP HLDG LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ALIBABA GRP HLDG LTD
Publication Date
2012-11-21
Estimated Expiration
Not applicable · inactive patent

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Abstract

The application of the invention discloses a project recommendation method and a project recommendation system. The method comprises the steps of acquiring history data of a user, wherein the history data comprises a corresponding relation between the user and the projects; calculating an association retrieval relevance of any two projects according to the history data; as to each project, respectively determining a preset first amount of projects, which have the maximal association retrieval correlation with the project, as association retrieval related projects of the project; building an original user-project scoring matrix according to the history data of the user; zeroing the original user-project scoring matrix by the association retrieval related projects of each project to form a calculation user-project scoring matrix; and determining a project recommendation collection of the user based on the calculation user-project scoring matrix. According to the method and the system, the accuracy of the recommendation result is improved, and therefore, data transmission speed between an electronic commerce website and a user terminal is boosted further.
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Description

technical field

[0001] The present application relates to item recommendation technology, in particular to an item recommendation method and system. Background technique

[0002] When users enter an e-commerce website to choose books, videos and other products, they are confronted with a large number of products. It is difficult to find products that meet their unique interests only by searching and browsing. Therefore, the personalized recommendation of products can solve the information overload of users and provide users with products that meet their interests.

[0003] The historical roots of personalized recommendation research can be traced to research work in the fields of cognitive science, approximation theory, information extraction, and prediction theory, as well as related to management science and customer opportunity modeling in marketing. However, recommender systems emerged as an independent research field in the mid-1990s. Since then, recommender system re...

Claims

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