Product recommendation method and system
A recommendation method and recommendation system technology, applied in the field of product recommendation methods and systems, can solve the problem of products deviating from the real preferences of users
Pending Publication Date: 2021-09-07
深圳市研祥智慧科技股份有限公司
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Problems solved by technology
[0003] However, existing recommendation systems only consider the degree of similarity between users and products, ignoring that user ratings are the result of multiple factors. It may be that users are used to giving high scores, or it may be that users make high-quality products. Objective evaluation, which leads to the products recommended by the system deviate from the user's real preferences
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[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. 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.
[0043] In the first aspect, the present invention provides a product recommendation method, see figure 1 , the method includes steps S101 to S105, as follows:
[0044] Step S101: Determine the quality of the product according to the sales volume of the product, the ratings of the sample users on the product, the preset prior values of the ...
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The invention provides a product recommendation method and system. The method comprises the following steps: determining the quality of a product according to the sales volume of the product, the score of a sample user on the product, a preset prior numerical value of the score and a confidence coefficient corresponding to the prior numerical value; determining the interestingness of the sample user on the product according to the score of the sample user on the product, the quality of the product and the number of times of scoring the product by the sample user; according to the interestingness, determining an interestingness matrix; determining a correlation coefficient of the product according to the interestingness matrix; and according to the correlation coefficient of the product, predicting the interestingness of a target user on the product, and according to a prediction result, determining whether to recommend the product to the target user. Products can be recommended accurately according to preferences of users.
Description
technical field [0001] The invention relates to the technical field of e-commerce, in particular to a product recommendation method and system. Background technique [0002] The recommendation system is a tool to help users quickly find useful information, and it is gradually becoming the main development direction to solve the problem of information overload. The recommendation system differs from search engines in that it does not require users to provide clear requirements, but instead analyzes users' historical behaviors to model users' interests, thereby actively recommending information that can meet their interests and needs to users. [0003] However, existing recommendation systems only consider the similarity between users and products, ignoring that user ratings are the result of multiple factors. It may be that users are used to giving high scores, or it may be that users make high-quality products. Objective evaluation, which leads to the products recommended b...
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Login to View More IPC IPC(8): G06F16/9535G06F17/16G06Q30/06
CPCG06F16/9535G06F17/16G06Q30/0631
Inventor 曹霞马先明刘恩锋林淼
Owner 深圳市研祥智慧科技股份有限公司