Individualized recommendation method and system based on opposite attribute knowledge base
A recommendation system and recommendation method technology, applied in the field of personalized recommendation methods and systems, can solve the problems of reducing the user's adoption rate of recommendation results, reducing the value of the recommendation system to users, and wrong recommendation, so as to meet the needs of personalized recommendation, improve Value, the effect of improving accuracy
Active Publication Date: 2016-06-22
SOUTH CHINA NORMAL UNIVERSITY
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It can be seen that the recommendation results obtained by existing recommendation technologies often do not match the products that users want to buy, resulting in wrong recommendations, which in turn reduces the user's adoption rate of the recommendation results and reduces the value of the recommendation system to users.
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[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.
[0027] A personalized recommendation method in one embodiment, such as figure 1 shown, including the following steps:
[0028] Step S101: Obtain the recommendation result sequence recommended by the current recommendation system to the user;
[0029] Among them, the current recommendation system can be various existing recommendation systems, or a newly developed recommendation system; the recommendation results recommended by the recommendation system to users can be various types of recommendation results, for example, product recommendations, clothing recommendations...
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The invention discloses an individualized recommendation method and system. The method includes the steps of: obtaining a recommendation result sequence that a current recommendation system recommends to a user; obtaining a preset recommendation number of recommendation results in a preset direction in the recommendation result sequence as a initial recommendation result sequence; inquiring in an opposite attribute knowledge base whether an opposite attribute of the user is stored according to identity information of the user; if a query result is yes, matching each recommendation result in the initial recommendation result sequence with the opposite attribute of the user; deleting recommendation results in the initial recommendation result sequence whose matching results with the opposite attribute of the user satisfy preset conditions; obtaining a final recommendation result sequence according to remaining recommendation results in the initial recommendation result sequence; and outputting the final recommendation result sequence. The individualized recommendation method improves the accuracy rate of recommendation to the user, thereby improving the adoption rate of the recommendation results by the user, and raising the value of a recommendation system to the user.
Description
technical field [0001] The invention relates to the technical field of recommendation, in particular to a personalized recommendation method and system based on a reverse attribute knowledge base. Background technique [0002] With the continuous expansion of the scale of e-commerce, the number and types of commodities increase rapidly, and users need to spend a lot of time to find the commodities they want to buy. The process of browsing a lot of irrelevant information and products will undoubtedly lead to continuous loss of consumers. In order to solve these problems, personalized recommendation technology came into being. Personalized recommendation technology is an advanced business intelligence platform based on massive data mining to help e-commerce sites provide fully personalized decision support and information services for their customers. [0003] However, when the existing personalized recommendation system recommends based on the analysis of the historical dat...
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IPC IPC(8): G06Q30/02
CPCG06Q30/0256
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY