We present a method to help a user redefine a query based on past users experience, namely the click-through data as recorded by a search engine. Unlike most previous works, the method we propose attempts to recommend better queries rather than related queries, It is effective at identifying query specialization or sub-topics because it take into account the co-occurrence of documents in individual query sessions. It is also particularly simple to implement. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Dupret, G., & Mendoza, M. (2005). Recommending better queries from click-through data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3772 LNCS, pp. 41–44). https://doi.org/10.1007/11575832_5
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