A mining method of customer-friend relationship network in e-commerce website

An e-commerce website and friend relationship technology, which is applied in the field of mining customer friend relationship networks in e-commerce sites, can solve the problems of low participation of customers in social functions, inactive friend management, etc., so as to achieve a simplified algorithm without redundancy, Precise and effective results

Active Publication Date: 2017-11-03
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

In the social network, users establish a relationship network through active behaviors such as adding friends and actively participate in the interaction with friends. However, from the perspective of existing e-commerce websites, customers do not participate in social functions very much, and users pay more attention to products. In itself, it is not active in friend management

Method used

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  • A mining method of customer-friend relationship network in e-commerce website
  • A mining method of customer-friend relationship network in e-commerce website
  • A mining method of customer-friend relationship network in e-commerce website

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Embodiment Construction

[0028] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.

[0029] Such as figure 1 Shown, the excavation method of customer friendship network in a kind of e-commerce website of the present invention, comprises the following steps:

[0030] (1) Data preparation;

[0031] (2) Data filtering;

[0032] (3) Calculate the impact probability;

[0033] (4) Mining the offline friend relationship network of customers in e-commerce websites.

[0034] The steps of the data preparation phase in the above step (1) are as follows:

[0035](11) Abstract the friend relationship of users in the e-commerce to be analyzed into a network, each customer represents a node in the network, and the friend relationship is abstracted into an edge, and the symbol is recorded as G=(V; E), where V is the set of customers, E represents the set of friendship relationships, and the network G is the target to be solved; initially...

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Abstract

The invention discloses a mining method for a customer friend relationship network in an e-commerce website, which infers the customer offline friend relationship according to historical sales records of commodities. The method of the present invention digs out the offline friend relationship network from the user's online consumption records, does not require the customer to actively manage the friends, but the system digs out such a friend relationship.

Description

technical field [0001] The invention relates to the field of electronic commerce, in particular to a method for mining customer friend relationship networks in electronic commerce websites. Background technique [0002] With the development of Internet technology, people are increasingly shopping and consuming online, and the e-commerce industry has exploded. E-commerce websites focus on product display, transaction, settlement and payment platform security, and include certain social functions, such as online communication between merchants and customers. However, this kind of social business is limited to the interaction between customers and merchants, and has little effect on increasing the trust of customers. Merchants may also use this direct interaction to defraud customers. There is no connection between them, and merchants will even force customers to give good reviews to their products. If there are friends of the customer among the customers who make these revie...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 蒋嶷川陈昭娣
Owner SOUTHEAST UNIV
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