Query based keyword extension method, device and system

Abstract

An embodiment of the invention provides a query based keyword extension method, device and system. The query based keyword extension method comprises setting a preset keyword set, enabling preset keywords in the preset keyword set to be served as a pattern query and constructing the preset keyword set into a keyword tree; receiving the query and obtaining a web searching result based on the query; performing pattern matching aiming at the web searching result to obtain the pattern query and confirming extension keywords based on the query through the obtained pattern query. The query based keyword extension method has the advantages of enriching keyword matching results, expanding keywords for the query, improving comprehensiveness of exhibition contents, quantizing similarity between the query and the keywords and guaranteeing the relevance of the exhibition contents.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of information processing, and more specifically, relate to a keyword expansion method, device and system based on a retrieval string. Background technique [0002] In today's information age, various information devices have emerged as the times require: fixed telephones and mobile phones for voice transmission; servers and personal computers for information resource sharing and processing; various TV sets for video data display, etc. Wait. These devices are produced to solve actual needs in specific fields. With the advent of the integration of electronic consumption, computer, and communication (3C), people are paying more and more attention to the research on the comprehensive utilization of information equipment in various fields, so as to make full use of existing resources and equipment to serve people. better service. [0003] Search engine advertisement is an exemplary a...

AI Technical Summary

Problems solved by technology

[0005] However, in the existing technology, keywords are only extracted literally from the search string, and the number of keywords obtained is limited, so it is difficult to ensure the comprehensiveness of the displayed content

[0006] Moreover, the keywords and retrieval strings extracted in the prior art are only limited to the association on the text, and other semantically related keywords are difficult to find

The keywords extracted from the search string itself are often part of the search string. Although there is a certain correlation between the two words, it is difficult to guarantee the consistency of intent.

For example, the keyword "cheapest" can be found from the search string "Where is the cheapest flower express in Beijing", but the intentions of the two do not exactly match

If you directly use the keyword "cheapest" to query the display content, it is easy to display display content that is quite different from the user's original intention, resulting in irrelevant display content

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