Supervised query modeling using wikipedia

We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia articles and sample terms from the linked articles to re-estimate the query model. On a recent large web corpus, we observe substantial gains in terms of both traditional metrics and diversity measures. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval General Terms Algorithms, Experimentation, Measurement Keywords Machine Learning, Query Modeling, Wikipedia

• Type: Conference
• Year: 2010
• Where: SIGIR
• Authors: Edgar Meij, Maarten de Rijke
• Keywords: Information Management, Machine Learning, Query Model, SIGIR 2010, Wikipedia Articles