Inferring query intent from reformulations and clicks

Many researchers have noted that web search queries are often ambiguous or unclear. We present an approach for identifying the popular meanings of queries using web search logs and user click behavior. We show our approach to produce more complete and user-centric intents than expert judges by evaluating on TREC queries. This approach was also used by the TREC 2009 Web Track judges to obtain more representative topic descriptions from real queries. Categories and Subject Descriptors H.3.3. [Information Storage and Retrieval]: Information Search and Retrieval General Terms: Algorithms

• Type: Conference
• Year: 2010
• Where: WWW
• Authors: Filip Radlinski, Martin Szummer, Nick Craswell
• Keywords: Internet Technology, TREC Queries, Web Search Logs, Web Search Queries, WWW 2010