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» Mining related queries from search engine query logs
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WWW
2007
ACM
16 years 6 months ago
Query topic detection for reformulation
In this paper, we show that most multiple term queries include more than one topic and users usually reformulate their queries by topics instead of terms. In order to provide empi...
Xuefeng He, Jun Yan, Jinwen Ma, Ning Liu, Zheng Ch...
WEBI
2009
Springer
16 years 20 days 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...
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
16 years 3 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
EMNLP
2009
15 years 3 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
CIKM
2003
Springer
15 years 11 months ago
Using titles and category names from editor-driven taxonomies for automatic evaluation
Evaluation of IR systems has always been difficult because of the need for manually assessed relevance judgments. The advent of large editor-driven taxonomies on the web opens the...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...