Method for combining and displaying multiple information sources in search automatic completion

Abstract

The invention provides a method for combining and displaying multiple information sources in automatic search completion, which is characterized by comprising the following steps of: receiving a search request of a user; searching a prefix tree according to a search word in the search request of the user to obtain a candidate complemented word result; comparing the similarity between the search word in the user search request and the record name in the intimacy relation table, and adding the record name into the candidate completion word result when the similarity reaches a preset threshold value; and sorting and returning the candidate complemented word result. According to the method for combining and displaying the multiple information sources in automatic search completion, the multiple information sources can be displayed in the candidate box at the same time. Searching requirements of various information in the small red book APP are met, a more convenient searching entrance is provided for the user, and the use experience of the user is improved.

Description

technical field [0001] The invention relates to the field of information search, in particular to a method for automatically completing search words input by users. Background technique [0002] With the advent of the information age, information and data have been growing explosively. The importance of information search is becoming more and more prominent, and the requirements for retrieval efficiency and accuracy are getting higher and higher. The automatic completion of search terms is an important technology to improve retrieval efficiency and accuracy. Traditional automatic completion of search terms usually only focuses on the information of the search term itself, and does not consider the characteristics of the information sources and information databases to be retrieved when completing the completion. This completion technology is suitable for general searches such as Google and Baidu. However, for specific types of information sources, such as one or several of...

AI Technical Summary

Problems solved by technology

However, for specific types of information sources, such as one or several of specific information sources such as notes, commodities, celebrities, enterprise accounts, and followed big Vs, when users search, if only based on the semantic completion of the search term itself , or based on the completion system trained based on the search word data of the whole network, the accuracy of the search results will be greatly reduced

[0003] In addition, among information sources involving personal information such as big Vs and celebrities, the keywords of search targets often contain unusual characters. For example, the real username of "Ouyang Nana" is "Ouyang Nana Nana", and there are even personalized In these cases, it is difficult to complete appropriate associative words using the existing search word auto-completion method

[0004] Finally, the existing search completion system generally cannot solve personalized search completion. For example, user A wants to retrieve the homepage of user B, but user B is not a traffic star or popular user. At this time, the existing search term completion Methods usually fail to complete autocompletion

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