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ECIR
2011
Springer
13 years 18 days ago
Back to the Roots: Mean-Variance Analysis of Relevance Estimations
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
WWW
2004
ACM
14 years 9 months ago
Best bets: thousands of queries in search of a client
A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to ...
Giuseppe Attardi, Andrea Esuli, Maria Simi
COLING
2002
13 years 9 months ago
Lexical Query Paraphrasing for Document Retrieval
We describe a mechanism for the generation of lexical paraphrases of queries posed to an Internet resource. These paraphrases are generated using WordNet and part-of-speech inform...
Ingrid Zukerman, Bhavani Raskutti
WWW
2011
ACM
13 years 3 months ago
Identifying primary content from web pages and its application to web search ranking
Web pages are usually highly structured documents. In some documents, content with different functionality is laid out in blocks, some merely supporting the main discourse. In ot...
Srinivas Vadrevu, Emre Velipasaoglu
CIKM
2008
Springer
13 years 11 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...