Method for identifying user query intention

A technology of query intent and identification method, applied in the field of network and search engine applications, can solve the problems of heavy search engine load and high time complexity of identifying query intent, achieve low overall cost, reduce additional click behavior, accuracy and recall rate high effect

Active Publication Date: 2013-08-28
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, this method has a high time complexity for identifying query intent (refer to D, Jiang, J.Pei, H.Li, Minng Search and Br...

Method used

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  • Method for identifying user query intention
  • Method for identifying user query intention
  • Method for identifying user query intention

Examples

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0029] According to an embodiment of the present invention, a method for identifying a user's query intention is provided. Different from the existing methods, this embodiment uses the named entities contained in the user query and the implicit relationship between them to determine whether the user query contains the intention to trigger a specific application. For example, in the query "Beijing, London", Its implicit entity relationship is "from...to...". If such entity relationship can be recognized, the search engine can conveniently and accurately trigger the application of flight query, and directly display the running results of the application on the search result page , thereby improving the user search experience. This technology is particularly suitable for application in the scenarios of mobile terminal search and application searc...

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Abstract

The invention provides a method for identifying user query intention. The method comprises the following steps that user query to be identified is divided into a named entity e1, a named entity e2 and a named entity context ct; probability p (r Iotae 1, e2, ct) of a latent topic r is calculated in the user query under the condition that the named entity e1, the named entity e2 and the named entity context ct are included according to a set and a topic model of a user query log, a topic r which makes the probability p (r Iota e1, e2, ct) be maximum is found out, and the topic r is used as the latent relation between the named entity e1 and the named entity e2. The topic model is obtained by query log aggregation document set training, and a query log aggregation document set is a document set about combination of the two-two named entities formed by aggregating the context of every two named entities in the query log. The method for identifying the user query intention is high in accuracy rate and recalling rate of identification, low in time complexity, low in load to a search engine, capable of improving user experience, and especially suitable for searching of a mobile terminal or for local application searching of the mobile terminal.

Description

technical field [0001] The invention relates to the application field of network and search engine, in particular, the invention relates to a method for identifying user's query intention. Background technique [0002] As the scale of the Internet continues to increase, search engines have become one of the important application systems on the Internet. How to accurately understand the query intent behind the query submitted by the user to the search engine is a very important technical issue. Due to the increasingly complex results of search engines, the search results are no longer a simple list of documents, but include applications or application operation results, such as "weather forecast", "exchange rate conversion", "air ticket query", etc., as well as vertical search The results of the engine, such as "Weibo" search, product search results summary, etc. Therefore, it is very important to accurately understand the user's query intention and identify whether the use...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 熊锦华公帅程学旗廖华明王元卓
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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