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» Improving search relevance for implicitly temporal queries
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SIGIR
2009
ACM
13 years 11 months ago
Improving search relevance for implicitly temporal queries
Donald Metzler, Rosie Jones, Fuchun Peng, Ruiqiang...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 5 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
SIGIR
2010
ACM
13 years 8 months ago
Personalize web search results with user's location
We build a probabilistic model to identify implicit local intent queries, and leverage user’s physical location to improve Web search results for these queries. Evaluation on co...
Yumao Lu, Fuchun Peng, Xing Wei, Benoît Dumo...
ERCIMDL
2010
Springer
163views Education» more  ERCIMDL 2010»
13 years 5 months ago
Determining Time of Queries for Re-ranking Search Results
Abstract. Recent work on analyzing query logs shows that a significant fraction of queries are temporal, i.e., relevancy is dependent on time, and temporal queries play an importan...
Nattiya Kanhabua, Kjetil Nørvåg
WWW
2008
ACM
14 years 5 months ago
Mining the search trails of surfing crowds: identifying relevant websites from user activity
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
Mikhail Bilenko, Ryen W. White