E-commerce platform potential customer recommendation method and system based on comprehensive similarity

Abstract

The invention relates to an e-commerce platform potential customer recommendation method and system based on comprehensive similarity. The method comprises the following steps: selecting a motif, finding out all instances of the motif, constructing a high-order adjacency matrix of customers, then obtaining a customer sequence, obtaining representation vectors of the customers, and further calculating the contact closeness between the customers; calculating the similarity between the features carried by the clients; weighting the connection closeness and the characteristic similarity to obtain the comprehensive similarity of the clients, and further obtaining a KNN graph; selecting the customers with the highest core from the customers which are not distributed with the groups as core customers; taking the selected core customer as an initial group, and sequentially adding the customer which enables the group fitness function increment to be maximum in group neighbor customers into the group; and core customer selection and group expansion are repeated until all customers in the customer network of the e-commerce platform belong to the groups. According to the invention, the group existing in the e-commerce platform client network can be effectively mined, and the commodity which is purchased most frequently is recommended for the group.

Description

technical field [0001] The invention relates to a method and system for recommending potential customers of an e-commerce platform based on comprehensive similarity. Background technique [0002] Due to the interaction between social members in work, study, life, entertainment and other activities, a certain stable relationship is gradually formed, and then a social network is formed. With the rapid development of Internet technology, people introduced the concept of early social network into the Internet, and created an online social network oriented to social network services. Representative products of online social networks include domestic WeChat, Weibo, Taobao, and foreign Facebook and Twitter. The vigorous development of online social networks has greatly changed people's lifestyles. For example, online shopping has become a mainstream shopping method, and more than 80% of Internet customers often use online shopping. Internet users can use social networks to make f...

AI Technical Summary

Problems solved by technology

However, there are still several key problems in the existing methods: the first is insufficient information utilization, some methods ignore the high-order structure in the network, and some methods can only use category attributes; the second is the topology and Customer attributes sometimes have a mismatch phenomenon, and these methods cannot adaptively adjust the contribution between network topology and customer attributes

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