Intelligent community oriented electronic commerce information recommendation method

Abstract

The invention relates to an intelligent community oriented electronic commerce information recommendation method and belongs to the technical field of electronic commerce. The method comprises the steps of 1), collecting specific browse behaviors of users on clients and processing data to obtain hidden scores of the users; 2), establishing a ''user-commodity '' comprehensive scoring matrix capable of reflecting user preference; 3), establishing a ''virtual user-item'' scoring matrix; 4), generating a commodity recommendation set based on a nearest neighbor set through utilization of a cooperative filtering method; 5), establishing user feature vectors; 6), generating user feature clusters; and 7), generating a partner recommendation set. According to the method, through full utilization of the advantages that the scale of a consumer group is relatively small and a commodity range is clear in an intelligent community, various browse behaviors of the users showing up interests on the clients are collected and preprocessed, the operation pressure of a server is mitigated to a great extent; the community information recommendation is realized; the partner recommendation is realized through combination of long-term fixed social relationships of community residents; and the residents are helped to increase neighbor friendship.

Description

technical field [0001] The invention belongs to the technical field of e-commerce, and relates to an e-commerce information recommendation method for smart communities. Background technique [0002] A smart community is an integrated application that makes full use of the new generation of information technology such as the Internet of Things, cloud computing, and mobile Internet to provide a safe, comfortable, and convenient modern, intelligent living environment for community residents. The smart community includes two core concepts of "integration" and "service", and the e-commerce system oriented to the smart community is a concrete realization of the service concept. [0003] The e-commerce system for smart communities mainly provides community residents with commodities closely related to daily life, such as fruits, vegetables, rice, oil, beverages, etc., and also provides the most frequent daily entertainment services, such as movies, food, music, sports, etc. , trav...

AI Technical Summary

Problems solved by technology

[0004] 1. The products provided lack some products that are closely related to the daily life of community residents. When recommending to community residents, it is not possible to make personalized information recommendations based on the interests of users in these closely related products;

[0005] 2. Due to the large scale of consumer groups, there is no fixed range of consumer groups and there is no fixed social relationship between consumer groups, it is impossible to make dating information recommendations;

[0006] 3. Due to factors such as the large scale of consumer groups and the vague range of products, the user's browsing behavior data is collected and preprocessed by the server, which greatly increases the pressure on the server of an information recommendation system

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