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Method for recommending commodities based on historical search and browse records

A browsing record and historical search technology, which is applied in business, equipment, sales/lease transactions, etc., to achieve the effects of increasing stickiness, saving time, and stimulating consumption

Inactive Publication Date: 2017-03-22
广州泰沃技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, while Internet users enjoy convenient consumption, they also fall into an unprecedented embarrassing situation to a certain extent.

Method used

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Embodiment Construction

[0015] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0016] The present invention provides a technical solution: a method for recommending commodities based on historical search and browsing records, including:

[0017] Collection of historical information records;

[0018] Historical information record processing and analysis;

[0019] Establish a user purchase propensity model based on historical information records;

[0020] Push product information to users according to the user purchase propensity model.

[0021] The specific steps of historical information record collection are: collect historical information records in user browsers through a plurality of small databases. The product purchase information of the user, the user's product storage information on the shopping website.

[0022]...

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PUM

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Abstract

The invention provides a method for recommending commodities based on historical search and browse records. The method comprises the steps of: acquiring historical information records; processing and analyzing the historical information records; establishing a user purchase intention model according to the historical information records; and pushing commodity information to a user according to the user purchase intention model. Compared with the prior art, the method has the following advantages: the method can assist users in finding the most suitable accessory products and peripheral products and present the products on the shopping path, and the users choose whether to buy, so that the buying demand of users can be excited, the time for choosing commodities is saved, the user-based idea is realized, the retention time of users on a website can be increased, the consumption is boosted, and the dependency of the users on the website is improved.

Description

technical field [0001] The invention relates to a method for recommending commodities based on historical search and browsing records, and relates to the fields of computers and communications. Background technique [0002] In recent years, with the continuous and rapid development of information technology and the Internet, e-commerce has become more and more prominent in society and life, and e-commerce systems provide users with more and more choices. At the same time, the rapid expansion of e-commerce scale makes users spend a lot of time browsing irrelevant products. For sellers, it is their urgent hope to recommend products to users in the most suitable way. With the advent of the era of big data, the products on e-commerce websites are growing at an exponential rate, which is unimaginable both in terms of quantity and type, which makes it more difficult to quickly and accurately obtain the products you want. The Internet is like a double-edged sword, although to a la...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 李易业颜臣
Owner 广州泰沃技术有限公司
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