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Commodity recommendation method, device, server and storage medium based on log mining

A commodity recommendation and commodity technology, applied in data mining, instrumentation, commerce, etc., can solve problems such as dependence and ignoring the interrelated characteristics of items

Active Publication Date: 2019-02-01
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a product recommendation method, device, server and storage medium based on log mining, aiming to solve the problem that the collaborative filtering algorithm in the prior art completely relies on the user's rating data for the item when calculating the similarity. Technical issues with interrelated nature of projects

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  • Commodity recommendation method, device, server and storage medium based on log mining
  • Commodity recommendation method, device, server and storage medium based on log mining
  • Commodity recommendation method, device, server and storage medium based on log mining

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Embodiment Construction

[0047] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] refer to figure 1 , figure 1 It is a schematic structural diagram of a server in the hardware operating environment involved in the solution of the embodiment of the present invention.

[0049] like figure 1 As shown, the server may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired interface and a wireless interface (such as a WI-F...

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Abstract

The invention discloses a commodity recommendation method based on log mining, a device, a server and a storage medium. The present invention introduces a transaction database, Mining frequent itemsets from transaction databases, and designs a new calculation method of commodity similarity, Then the similarity calculation results and Pearson correlation coefficients are weighted synthesized, The problem of inaccurate similarity measurement caused by sparse data is alleviated, and the nearest neighbor set is found and recommended more accurately, which overcomes the problem that the collaborative filtering algorithm overly relies on the user's scoring data when calculating the similarity of items.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to a log mining-based commodity recommendation method, device, server and storage medium. Background technique [0002] With the rapid development of the Internet and information technology, the amount of information and data on the network has grown exponentially, and people have gradually fallen into the era of "information overload". It is also difficult for buyers to make their products stand out among the attention of many users. The recommendation system has become an important means to solve this problem. It can filter irrelevant items based on the user's preferences and recommend items that the user may like. [0003] Although collaborative filtering algorithms have achieved great success, there is always a problem of data sparsity. The number of users and items in an e-commerce website is very large, and most users will only rate a small number of items, resu...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06F16/2458
CPCG06F2216/03G06Q30/0631
Inventor 孙翀吕琴艳帖军王江晴艾勇吴立锋
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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