Classifying search queries using the Web as a source of knowledge

@article{Gabrilovich2009ClassifyingSQ,
  title={Classifying search queries using the Web as a source of knowledge},
  author={Evgeniy Gabrilovich and Andrei Z. Broder and Marcus Fontoura and Amruta Joshi and Vanja Josifovski and Lance Riedel and Tong Zhang},
  journal={TWEB},
  year={2009},
  volume={3},
  pages={5:1-5:28}
}
We propose a methodology for building a robust query classification system that can identify thousands of query classes, while dealing in real time with the query volume of a commercial Web search engine. We use a pseudo relevance feedback technique: given a query, we determine its topic by classifying the Web search results retrieved by the query. Motivated by the needs of search advertising, we primarily focus on rare queries, which are the hardest from the point of view of machine learning… CONTINUE READING
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