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Search Query Categorization at Scale
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
State of the art query categorization methods usually exploit web search services to retrieve the best matching web documents and map them to a given taxonomy of categories. This is effective but impractical when one does not own a web corpus and has to use a 3 rd party web search engine API. The problem lies in performance and in financial costs. In this paper, we present a novel, fast and scalable approach to categorization of search queries based on a limited intermediate corpus: we use
doi:10.1145/2740908.2741995
dblp:conf/www/LaclavikCSSDD15
fatcat:qlqih7dkhbdcbo4c2rg6koy4se