2007 VaryingApprtoTopWebQueryClass
- (Beitxel et al., 2007) ⇒ Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury, and Ophir Frieder. (2007). “Varying Approaches to Topical Web Query Classification.” In: Proceedings of the 30th annual international ACM SIGIR conference on Research and Development in Information retrieval (SIGIR 2007). doi:10.1145/1277741.1277907
Subject Headings:Query Classification, Web Search.
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Abstract
Topical classification of web queries has drawn recent interest because of the promise it offers in improving retrieval effectiveness and efficiency. However, much of this promise depends on whether classification is performed before or after the query is used to retrieve documents. We examine two previously unaddressed issues in query classification: pre versus post-retrieval classification effectiveness and the effect of training explicitly from classified queries versus bridging a classifier trained using a document taxonomy. Bridging classifiers map the categories of a document taxonomy onto those of a query classification problem to provide sufficient training data. We find that training classifiers explicitly from manually classified queries outperforms the bridged classifier by 48% in F1 score. Also, a pre-retrieval classifier using only the query terms performs merely 11% worse than the bridged classifier which requires snippets from retrieved documents.
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