Method for identifying user query intention

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...

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 Browse Logs for Web Search: A Suervey, ACM Transactions on Computational Logic, 2013, pp.1- 42), but also cause a large load on the search engine

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