Recommending method and recommending system

A recommendation method and commodity technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of inaccurate similarity, inaccuracy, inability to complete recommendation or recommendation, etc., and achieve high accuracy and pertinence. Strong, save search and browsing time effect
CN102902691AInactive Publication Date: 2013-01-30上海拉手信息技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
上海拉手信息技术有限公司
Publication Date
2013-01-30
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a recommending method and a recommending system. The recommending method includes the following steps of firstly, computing likeness of target users for various attributions of a commodity to be recommended; secondly, integrating likeness of the target users for various attributions of the commodity to obtain the integral likeness of the target users to the commodity; and thirdly, recommending the corresponding commodity to the target users according to the likeness of the target users for the commodity to be recommended. In order to provide more accurate recommendations for new users and users having low purchase quantity, the integral tendency of all users and personal tendency of a single user are comprehensively analyzed by the Bayes method. For optimization of the new users and the users having low purchase quantity, service quality is improved favorably, and searching time of the users is saved.
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Description

technical field

[0001] The invention relates to the technical field of network information retrieval, in particular to a recommendation method and system. Background technique

[0002] With the popularization of the Internet and the development of e-commerce, recommendation systems are widely used and become an important content of network information retrieval technology. The application of a good recommendation system saves a lot of time for users, because they can quickly find what they need based on the content recommended by the recommendation system, without wasting time by doing a lot of searching in massive commodities or data.

[0003] The personalized recommendation system is an advanced business intelligence platform based on massive data mining to help e-commerce sites provide fully personalized decision support and information services for their customers. The recommendation system of the shopping website recommends products for customers, automatically complet...

Claims

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