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Content object recommendation method and device, electronic equipment and readable medium

A technology of content objects and recommendation methods, applied in the fields of recommendation of content objects, computer-readable storage media, and recommendation devices for content objects, can solve the problems of low recommendation accuracy, inability to make personalized recommendations, and inability to make recommendations, and achieve guaranteed The effect of accuracy

Active Publication Date: 2022-04-12
BEIJING 58 INFORMATION TTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention provides a method, device, electronic device and computer-readable storage medium for recommending content objects, so as to solve or partially solve the problem of determining After the rollback operation, recommendations cannot be made based on the current user operations, resulting in low recommendation accuracy and the inability to perform personalized recommendations

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  • Content object recommendation method and device, electronic equipment and readable medium
  • Content object recommendation method and device, electronic equipment and readable medium
  • Content object recommendation method and device, electronic equipment and readable medium

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Embodiment Construction

[0085] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0086] With the rapid development of the Internet, users can receive a large amount and variety of information. Although it can meet the needs of users to obtain information to a certain extent, it also makes it difficult for users to easily obtain information that meets their own needs when faced with a large amount of information. Strongly related information makes the utilization rate of this information low and it is difficult to obtain relevant information. For most Internet companies, it is very important to provide users with information that meets user needs. For this reason, many Internet companies will develop recommendation systems for related products that can recommend information to users. Recommendation systems are g...

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Abstract

The embodiment of the invention provides a content object recommendation method and device, electronic equipment and a readable medium, and the method comprises the steps: firstly determining an interest value of a user through the user operation of the user in an object detail page when the user browses the content and executes a rollback operation; the interest value of the user is determined through the user operation, the user demand can be effectively recognized, and meanwhile, the interest information corresponding to the target user operation is determined under the condition that the user is judged to be interested, so that the user experience is improved. And then the corresponding content object is recommended to the user through the interest information, and content recommendation is performed by identifying the user demand and according to the user operation, so that the accuracy of content recommendation and the matching degree of the recommended content and the user demand are effectively ensured.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method for recommending content objects, a device for recommending content objects, an electronic device, and a computer-readable storage medium. Background technique [0002] The recommendation system is a tool for retrieving and predicting information. The main goal of the recommendation system is to select the information that users need from a large amount of information according to certain conditions. In the existing recommendation technology, the recommendation model is often integrated in the In the server in the management system, the server can return the information that meets the user's needs to the corresponding client. This technology of returning relevant information that meets the user's needs is called the fallback recommendation technology. The fallback recommendation technology can Directly recommend user-related information to users. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9538G06F16/958
Inventor 刘孟彭飞邓竹立
Owner BEIJING 58 INFORMATION TTECH CO LTD