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» Maximum Margin Ranking Algorithms for Information Retrieval
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SIGIR
2008
ACM
13 years 7 months ago
Task-aware search personalization
Search personalization has been pursued in many ways, in order to provide better result rankings and better overall search experience to individual users [5]. However, blindly app...
Julia Luxenburger, Shady Elbassuoni, Gerhard Weiku...
SIGMOD
2009
ACM
134views Database» more  SIGMOD 2009»
14 years 7 months ago
Keyword query cleaning using hidden Markov models
In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
Ken Q. Pu
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 7 months ago
Query biased snippet generation in XML search
Snippets are used by almost every text search engine to complement ranking scheme in order to effectively handle user searches, which are inherently ambiguous and whose relevance ...
Yu Huang, Ziyang Liu, Yi Chen
WWW
2006
ACM
14 years 1 months ago
Do not crawl in the DUST: different URLs with similar text
We consider the problem of dust: Different URLs with Similar Text. Such duplicate URLs are prevalent in web sites, as web server software often uses aliases and redirections, and...
Uri Schonfeld, Ziv Bar-Yossef, Idit Keidar
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
14 years 5 months ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft