Method and system for recommending query based on user log

Abstract

The invention discloses a method and system for recommending query based on user log. The method comprises acquiring an effective query log set according to the data set in the user log; selecting a typical query string as the training set, extracting 6 characteristic indexes of each query string in the effective query log set, such as support degree, popularity, recommendation degree, co-occurrence degree, similarity, and association degree, and constructing a composite prediction model based on the training set; and extracting the 6 characteristic indexes of candidate query strings inputted by a user, inputting the extracted characteristic indexes into the composite prediction model as variables, calculating the relevancy between each candidate query string and a given query string, and outputting n query strings with higher rank. The system comprises a data preparation module, a prediction model construction module, and a processing output model for realizing the above method. By fully utilizing the user log of a search engine, the method and system can recommend query strings with higher quality for the user.

Description

technical field [0001] The invention relates to the technical field of search engines, in particular to a method and system for query recommendation based on user logs. Background technique [0002] Along with the fast growth of information amount on the World Wide Web, more and more people use search engines to find useful information on the Web. According to the statistical report of China Internet Network Information Center (CNNIC) in 2011, the utilization rate of search engines among various network application services has ranked first, and it has become the most important entrance for netizens to enter the Internet. When using a search engine, the user only needs to enter a query string (or query phrase, query) in the search box, and the retrieval system will provide a search result list (result list) according to the content entered by the user, and the user clicks on the URL of the corresponding result to arrive at the search engine. corresponding page. [0003] Al...

AI Technical Summary

Problems solved by technology

[0003] Although the technology of search engines is constantly improving and improving, there are still the following problems: On the one hand, statistics show that the query strings input by users are generally short, with an average of only 2-4 Chinese characters. The topic is relatively broad and prone to ambiguity, which may not exactly reflect the user's search intention; on the other hand, even if the keyword proposed by the user is accurate, the search engine will only return the results that match the keyword to the user. It is versatile and cannot well meet the personalized information needs of users

[0007] Many of the traditional query recommendations are based on documents, or use a large amount of document information, or use semantic resources edited by humans, but usually have a large amount of calculation, especially no longer suitable for frequent network content updates, new things emerging one after another, and diversified search intentions Recommended Web Retrieval System

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