Recommendation method and system for online shopping mall commodities
A technology of online shopping mall and recommendation method, which is applied in the recommendation method of online shopping mall products and its system field, can solve the problems of failing to update the database in time, the user does not have a good advertisement push method, and the limitations of advertisement push, so as to facilitate recommendation, High precision, avoiding the effects of limitations
Inactive Publication Date: 2018-12-18
安徽千界信息科技有限公司
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Problems solved by technology
[0004] The purpose of the present invention is to provide a method and system for recommending products in an online shopping mall, so as to solve the problem that the prior art proposed in the above background technology does not have a good way of pushing advertisements for users who have already purchased commodities, and Failed to update the database and expand the database of new users in time, resulting in certain limitations in advertising push
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[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0025] Such as figure 1 As shown, it is a method for recommending goods in an online shopping mall of the present invention, and the method includes the following steps:
[0026] S1. Collect the consumption habit data and consumption record data of the user at the client end, and respectively establish a purchase record database and a consumption preference database.
[0027] According to the user's consumption situation, the user's consumption habit data and...
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The invention discloses a recommending method and a system for goods in an online shopping mall. The method mainly comprises the following steps: the consumption habit data and the consumption recorddata of a user are collected and then a database is respectively established. The merchant judges whether the user has the consumption intention by using a data analysis tool; if the user has the consumption intention, the advertisement is directly pushed; if the user has the consumption intention, the advertisement is directly pushed; if the user has the consumption intention, the advertisement is directly pushed; if not, mining other consumption intentions by recommending associated goods to users or pushing commodity advertisements to other users associated with the users, and updating andexpanding the database in the process to ensure the timeliness and accuracy of the database. The system comprises a data collection processing module, a user database establishing module, a consumption intention judging module, a consumption intention mining module and an advertisement pushing module. The coordination and cooperation among the modules avoid the limitation of the existing advertisement pushing, enhance the accuracy of the advertisement pushing, and is more conducive to the recommendation of the merchandise in the mall.
Description
technical field [0001] The invention relates to the technical field of data processing and advertisement push, in particular to a method and system for recommending commodities in an online shopping mall. Background technique [0002] Due to its convenience, online shopping has become the first choice for consumers to shop. Consumers can enjoy the convenience of getting products without leaving home. However, compared with traditional shopping methods, how to push their own product advertisements to consumers has always been a difficult problem, because merchants cannot predict whether the users who push the advertisements need the products, or whether they have the willingness to consume. If there is a problem, the merchant will directly lose the consumer. Therefore, it is very necessary to invent a scientific recommendation method for online shopping malls to help merchants better promote their products. [0003] The prior art, such as the invention with the publication ...
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IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0271G06Q30/0631
Inventor 胡俊杰陈猛程旭
Owner 安徽千界信息科技有限公司