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SIGIR
2005
ACM
14 years 1 months ago
Detecting dominant locations from search queries
Accurately and effectively detecting the locations where search queries are truly about has huge potential impact on increasing search relevance. In this paper, we define a search...
Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yans...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
14 years 7 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...
IPM
2000
69views more  IPM 2000»
13 years 7 months ago
Real life, real users, and real needs: a study and analysis of user queries on the web
We analyzed transaction logs containing 51,473 queries posed by 18,113 users of Excite, a major Internet search service. We provide data on: (i) sessions - changes in queries durin...
Bernard J. Jansen, Amanda Spink, Tefko Saracevic
IMC
2006
ACM
14 years 1 months ago
Web search clickstreams
Search engines are a vital part of the Web and thus the Internet infrastructure. Therefore understanding the behavior of users searching the Web gives insights into trends, and en...
Nils Kammenhuber, Julia Luxenburger, Anja Feldmann...
EMNLP
2009
13 years 5 months ago
Mining Search Engine Clickthrough Log for Matching N-gram Features
User clicks on a URL in response to a query are extremely useful predictors of the URL's relevance to that query. Exact match click features tend to suffer from severe data s...
Huihsin Tseng, Longbin Chen, Fan Li, Ziming Zhuang...