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» Rank aggregation methods for the Web
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KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 3 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
ECIR
2009
Springer
15 years 8 months ago
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
WWW
2011
ACM
14 years 6 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
WWW
2010
ACM
15 years 6 months ago
Exploring searcher interactions for distinguishing types of commercial intent
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein
JAPLL
2008
121views more  JAPLL 2008»
14 years 11 months ago
Reasoning with prioritized information by iterative aggregation of distance functions
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
Ofer Arieli