Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent

Three methods are proposed to classify queries by intent (CQI), e.g., navigational, informational, commercial, etc. Following mixed-initiative dialog systems, search engines should distinguish navigational queries where the user is taking the initiative from other queries where there are more opportunities for system initiatives (e.g., suggestions, ads). The query intent problem has a number of useful applications for search engines, affecting how many (if any) advertisements to display, which results to return, and how to arrange the results page. Click logs are used as a substitute for annotation. Clicks on ads are evidence for commercial intent; other types of clicks are evidence for other intents. We start with a simple Na

• Type: Journal
• Year: 2009
• Where: EMNLP
• Authors: Emily Pitler, Ken Ward Church
• Keywords: Designer Trench, EMNLP 2009, Natural Language Processing, Query Intent, Search Engines