Search keyword recommendation model generation method and keyword recommendation method and device

A model generation and keyword technology, applied in the field of information search, can solve the problems of recommendation quality and other problems, and achieve the effect of improving user stickiness, shortening search path, and accurate association relationship

Active Publication Date: 2020-06-23
BEIJING BYTEDANCE NETWORK TECH CO LTD
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Problems solved by technology

However, the traditional search recommendation words are built from the two perspectives of relevance and click-through rate (CTR, Click-Through-Rate), that is, only considering the text correlation between two keywords and predicting the user's click-through rate. , however, the keywords recommended by this solution cannot well meet the real needs of search users, because low-quality fake keywords may attract more clicks, and many recommendation quality problems will also occur based on the predicted click-through rate

Method used

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  • Search keyword recommendation model generation method and keyword recommendation method and device
  • Search keyword recommendation model generation method and keyword recommendation method and device
  • Search keyword recommendation model generation method and keyword recommendation method and device

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[0045] In order to make the objectives, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments It is a part of the embodiments of the present disclosure, but not all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by a person of ordinary skill in the art without creative work shall fall within the protection scope of the present disclosure.

[0046] In addition, the term "and / or" in this article is only an association relationship describing associated objects, which means that there can be three relationships. For example, A and / or B can mean that there is A alone, and both A and B exist. There are three cases of B alone. In addition, the character " / " in thi...

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Abstract

The invention provides a search keyword recommendation model generation method and device and a keyword recommendation method and device. The model generation method comprises the steps that first search behavior records and/or second search behavior records of multiple users are/is obtained, the first search behavior records comprise browsed content and keywords searched after browsing, and the second search behavior records comprise continuous search keywords and search sequences between the keywords; generating a first association relationship between content and keywords according to the first search behavior record and/or generating a second association relationship between the keywords according to the second search behavior record; and generating a keyword recommendation model according to the first association relationship and/or the second association relationship. According to the method, the real search requirement of the user can be met more accurately, so that the search path is shortened practically and effectively, and the search cost is reduced.

Description

Technical field [0001] The embodiments of the present disclosure generally relate to the field of information search technology, and more specifically, to a method for generating a search keyword recommendation model, a keyword recommendation method, and an apparatus. Background technique [0002] Search is a common function in Internet applications, and users can actively obtain required information through search. Generally, when a user browses an article or initiates a search, the application system predicts the user's search behavior through search recommendations to recommend keywords to the user, thereby shortening the search path and stimulating the user's search needs to a certain extent. However, the traditional search recommendation terms are constructed from the two perspectives of relevance and click-through rate (CTR, Click-Through-Rate), that is, only consider the text relevance between the two keywords and predict the user's click rate However, the keywords recomm...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9532G06F16/9535
CPCG06F16/9532G06F16/9535
Inventor 彭睿棋
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD
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