Query Intent Classification using Semi- Supervised Learning
Safallya Dhar, Sandeepan Swain, Bhabani Shankar Prasad Mishra · 2014
The Query Intent classification using semi-supervised learning about ti find a better away to search the web precision that result surfer want to search is 99.8 % matched, but due to search engine know what type of query user want to search and logs that are residing in the server of search engine.Which are put in data warehouse of vendor search engine for testing purpose that what type was given. In this paper algorithm is proposed how to increase the precision rate. General Terms This paper is classified under artificial intelligence in knowledge acquisition and expert system.