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Program recommendation method and device and computer readable storage medium

A program recommendation and computer technology, applied in the field of information processing, can solve problems such as unclear whether users like it, poor user experience, etc., and achieve the effect of increasing the probability of being watched and improving the user experience

Pending Publication Date: 2021-05-14
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are some problems in the existing recommendation methods: since it is not clear whether the user likes the recommended program, there will be a problem of recommending a program that the user does not like or a program that the user will not watch at all, which will cause bad user experience. to experience

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  • Program recommendation method and device and computer readable storage medium
  • Program recommendation method and device and computer readable storage medium
  • Program recommendation method and device and computer readable storage medium

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Embodiment Construction

[0022] In order to make the purpose, technical solution and advantages of the present application clearer, the present application 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 application, not to limit the present application.

[0023] It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, it can be executed in a different order than the module division in the device or the flowchart in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification, claims or the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific order or sequence.

[0024] The present application provides a program recommendation method...

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Abstract

The invention discloses a program recommendation method and device and a computer readable storage medium. The program recommendation method comprises the steps of performing program recommendation through an unsupervised recommendation method, obtaining a recommendation prediction model according to an obtained recommendation success rate and recommendation association parameters of a recommended program, and performing supervised learning on target association parameters of a target program by using the recommendation prediction model when the program needs to be recommended, and obtaining a prediction success rate of the target program, and recommending the target program when the prediction success rate reaches a preset threshold value. In the embodiment of the invention, supervised learning is performed on the recommendation result of the unsupervised recommendation method through the recommendation prediction model to correct the recommendation result of the unsupervised recommendation method, so that programs which are not liked by recommended users can be reduced, the purpose of improving the probability that the recommended programs are watched is achieved, and the use experience of the users can be improved.

Description

technical field [0001] The embodiments of the present application relate to but are not limited to the technical field of information processing, and in particular, relate to a program recommendation method, device, and computer-readable storage medium. Background technique [0002] Today, with the rapid development of IPTV (Internet Protocol Television, interactive Internet TV), the program forms and content are becoming more and more abundant. How to recommend these rich programs to the IPTV users watching according to the user's preferences has become a hot topic in current research. field. Current program recommendation methods generally only cluster users with the same preferences or similar programs, and recommend related programs to groups with the same preferences or recommend similar programs to users. However, there are some problems in the existing recommendation methods: since it is not clear whether the user likes the recommended program, there will be a proble...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/25H04N21/466
CPCH04N21/4662H04N21/466H04N21/251
Inventor 刘晓亮
Owner ZTE CORP