Method and system for individually recommending network commodities

A recommendation method and commodity technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problem of centralized recommendation results, and achieve the effect of improving efficiency, high accuracy, and good diversity
CN103544632AActive Publication Date: 2014-01-29HANGZHOU NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
HANGZHOU NORMAL UNIVERSITY
Publication Date
2014-01-29

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Abstract

The invention discloses a method and a system for individually recommending network commodities. The method includes firstly, acquiring purchasing behavior historical data of users and creating user-commodity purchasing relational graphs on the basis of the purchasing behavior historical data; secondly, adding a virtual user who purchases all commodities in the past into each user-commodity purchasing relational graph; thirdly, describing preference degrees of the specific target recommendation users to the commodities and giving new energy values to all the commodities; fourthly, ranking the commodities which are not purchased by the users according to a high-low sequence of the energy values of the commodities to generate individual recommendation lists. Each list can contain one or a plurality of commodities.
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Description

technical field

[0001] The invention belongs to information personalized recommendation technology in the field of network data mining, and specifically relates to a method and system for personalized recommendation of network commodities. Background technique

[0002] With the development and popularization of the Internet, e-commerce is developing at an incredible speed, greatly changing people's life style. According to authoritative statistics, the overall transaction scale of China's e-commerce market in 2012 increased by nearly 2 trillion yuan compared with 2011. In the next 3-5 years, China's e-commerce market will continue to maintain its growth momentum and is expected to exceed 10 trillion yuan in 2013. For many people, online shopping has become an important part of everyday spending.

[0003] While e-commerce services improve people's lifestyles, the problem of product information overload is becoming more and more serious, which has become a major problem for ...

Claims

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