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A keyword tagging method and device

A tagging method and keyword technology, applied in the field of data processing, can solve the problems of low efficiency of manual tagging, accuracy depends on human experience, etc., and achieve the effect of accurate and efficient tagging

Active Publication Date: 2021-08-24
BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the efficiency of manual labeling is very low, and the accuracy is very dependent on human experience

Method used

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  • A keyword tagging method and device
  • A keyword tagging method and device
  • A keyword tagging method and device

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] Embodiments of the present application are described below in conjunction with the accompanying drawings.

[0057] With the popularity of web-based search behavior, how to better display search results is a problem that major search engine providers need to solve.

[0058] One way to better display the search results is to be able to accurately classify the keywords used for searching, and to find search results that are more in line with the user's search intention in the content related to the classification. The classification of the keywords can mark the corresponding tag distribution of the keywords, and the tag distribution can reflect the intention of the user to input the keyword to search.

[0059] The traditional method of tagging keywords is to use manual methods to determine the tagging distribution of keywords through the personal experience of the tagger. The manual method is low in efficiency and relies heavily on personnel experience. And due to more a...

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Abstract

The embodiment of the present application discloses a method and device for marking keywords. When the keywords to be marked are obtained, the keywords to be marked can be added to the bipartite graph. Since the keywords to be marked do not have a label distribution when they are added to the bipartite graph, the target keywords can be determined in the bipartite graph, and the label distribution vectors of the target keywords are propagated in the bipartite graph. During the process, the keyword to be marked can calculate the label distribution vector propagated to itself according to a predetermined rule, and determine the label of the keyword to be marked according to the label distribution vector. Since the label distribution of the target keywords is referred to in the process of determining the keywords to be marked, it is more accurate to determine the labels of the keywords to be marked, and it is more consistent with the search intent embodied in the keywords to be marked. , the present application does not need manual marking when determining the marking of keywords, which is efficient and more accurate.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a method and device for tagging keywords. Background technique [0002] With the popularization of the Internet, users can use search engines to search for desired information on the Internet through keywords. Webpages related to the keyword can be searched through keywords, and users can select desired text from these webpages to open and browse. [0003] In order to be able to display to the user the search results that match the search intent of the keyword entered by the user during the search, it is necessary to classify the keywords, and mark the keywords corresponding to the search intent through the classification. After a tag is determined for a keyword, the search engine can provide the keyword with a search result that is more in line with the search intent embodied by the keyword according to the tag, thereby improving the user's search experience. [0004] ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/901G06F16/903G06F16/33G06F16/9535
CPCG06F16/3334G06F16/3331G06F16/9024G06F16/90335G06F16/9535
Inventor 刘志敏朱昌磊叶祺王峰李刚
Owner BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD
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