Personalized 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 problems such as wrong recommendation, reduce the value of the recommendation system to users, and reduce the user's adoption rate of the recommendation results, so as to improve the accuracy and meet the personalized requirements. The effect of recommending needs and enhancing value
Active Publication Date: 2020-08-25
SOUTH CHINA NORMAL UNIVERSITY
View PDF2 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
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.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[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...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The present invention discloses a personalized recommendation method and system. The method includes: obtaining the recommendation result sequence recommended by the current recommendation system to the user; Recommendation result sequence; query whether to store the user’s opposite attribute in the opposite attribute knowledge base according to the user’s identity information; when the query result is yes, match each recommendation result in the initial recommendation result sequence with the user’s opposite attribute; delete The matching result of the opposite attribute of the user in the initial recommendation result sequence meets the preset recommendation result; the final recommendation result sequence is obtained according to the remaining recommendation results of the initial recommendation result sequence; and the final recommendation result sequence is output. The present invention improves the accuracy rate of recommending to users, further improves the acceptance rate of the recommendation results by users, and improves the value of the recommendation system to users.
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...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/00
CPCG06Q30/0256
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY