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
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[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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