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» Inferring query intent from reformulations and clicks
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EMNLP
2009
13 years 5 months ago
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 shoul...
Emily Pitler, Ken Ward Church
WWW
2011
ACM
13 years 2 months ago
Characterizing search intent diversity into click models
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...
24
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WEBI
2009
Springer
14 years 2 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
ACSC
2008
IEEE
14 years 1 months ago
An investigation on a community's web search variability
Users’ past search behaviour provides a rich context that an information retrieval system can use to tailor its search results to suit an individual’s or a community’s infor...
Mingfang Wu, Andrew Turpin, Justin Zobel
GIS
2009
ACM
14 years 8 months ago
A Case Study of Using Geographic Cues to Predict Query News Intent
Geographic information retrieval encompasses important tasks including finding the location of a user, and locations relevant to their search queries. Web-based search engines rec...
Ahmed Hassan, Rosie Jones, Fernando Diaz