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EMNLP
2009
15 years 4 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
CHI
2009
ACM
16 years 6 months ago
Predicting query reformulation during web searching
This paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
CIKM
2008
Springer
15 years 8 months ago
Using English information in non-English web search
The leading web search engines have spent a decade building highly specialized ranking functions for English web pages. One of the reasons these ranking functions are effective is...
Wei Gao, John Blitzer, Ming Zhou
WWW
2003
ACM
16 years 6 months ago
ODISSEA: A Peer-to-Peer Architecture for Scalable Web Search and Information Retrieval
We consider the problem of building a P2P-based search engine for massive document collections. We describe a prototype system called ODISSEA (Open DIStributed Search Engine Archi...
Torsten Suel, Chandan Mathur, Jo-wen Wu, Jiangong ...
IIS
2003
15 years 7 months ago
Web Search Results Clustering in Polish: Experimental Evaluation of Carrot
Abstract. In this paper we consider the problem of web search results clustering in the Polish language, supporting our analysis with results acquired from an experimental system n...
Dawid Weiss, Jerzy Stefanowski