Video recommendation method and apparatus

A video recommendation and normalization technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inaccurate recommendation coefficients, poor user experience, and inaccurate videos.

Active Publication Date: 2016-08-24
BEIJING IQIYI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the specific implementation above, the default weighting coefficient of nouns is generally greater than that of verbs or adjectives, but when there are both nouns and verbs in the text string input by the user, and the expected weight of the verb is greater than that of the noun, for e

Method used

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  • Video recommendation method and apparatus
  • Video recommendation method and apparatus
  • Video recommendation method and apparatus

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Embodiment Construction

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Embodiments of the present invention provide a video recommendation method and device, which are applied to a server, and the method includes the following steps:

[0044] Obtaining a text string input by the user, and identifying at least one participle included in the text string;

[0045]Based on the identified text information of each word segment, determine the text coefficient corresponding to each word segment; judge whe...

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Abstract

Embodiments of the present invention disclose a video recommendation method and apparatus, which are applied to a server. The method comprises: acquiring a text string input by a user, and identifying at least one word segment included in the text string; based on text information of each identified word segment, determining a text coefficient corresponding to each word segment; separately determining whether each word segment is the same as a historical search word in a preset weighted word library, and if a determination result is yes, weighting the text coefficient corresponding to the word segment by using a weighting coefficient corresponding to the historical search word that is the same as the word segment, so as to obtain a recommendation coefficient corresponding to the word segment; if the determination result is no, weighting the text coefficient corresponding to the word segment by using a pre-determined weighting coefficient, so as to obtain a recommendation coefficient corresponding to the word segment; normalizing the recommendation coefficient of each word segment; and based on a standard recommendation coefficient that is obtained through normalization and corresponds to each word segment, recommending a video to the user in a preset manner. According to the method and apparatus disclosed by the embodiments of the present invention, video recommendation is more accurate, and user experience is better.

Description

technical field [0001] The present invention relates to a video application system, in particular to a video recommendation method and device. Background technique [0002] Now video websites are often provided with a function of recommending videos to users, which can provide users with more choices of related videos, further increasing the number of clicks and attention of video websites. [0003] When recommending a video in the prior art, it uses the text information of the text string input by the user in the search box for recommendation. A specific implementation method is: first, obtaining the text string input by the user; second, using the word frequency-reverse file frequency The (TF-IDF) algorithm determines the first weight of each participle in the text string; again, referring to the part of speech of each participle in the text string, weighting each participle on the basis of the above first weight to obtain the text coefficient ; Finally, the text coeffici...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3334G06F16/735
Inventor 孙国宇周燕红
Owner BEIJING IQIYI TECH CO LTD
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