The Journal of Machine Learning Research
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A WordNet-based algorithm for word sense disambiguation
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Personalizing web search using long term browsing history
Proceedings of the fourth ACM international conference on Web search and data mining
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Queries submitted to a search engine are usually short and ambiguous. Query expansion is an effective way to resolve the ambiguity of a query. We attempt to make a consolidated study of the effectiveness of query logs in this regard. We report empirical findings on the effect of personalization over an anonymous query log. We have designed a novel evaluation method to quantify improvements due to personalization. In the second part of our work, we present a novel approach to intelligently detect queries whose expansions potentially lead to improvements in retrieval. Empirical results obtained using this approach clearly show significant improvements over indiscriminate query expansion.