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ECIR
2011
Springer
14 years 10 months 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
16 years 7 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
15 years 6 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
SIGIR
2008
ACM
15 years 6 months ago
The impact of history length on personalized search
Personalized search is a promising way to better serve different users' information needs. Search history is one of the major information sources for search personalization. ...
Yangbo Zhu, Jamie Callan, Jaime G. Carbonell
CIKM
2009
Springer
16 years 28 days ago
Utilizing inter-passage and inter-document similarities for re-ranking search results
We present a novel language-model-based approach to reranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information ...
Eyal Krikon, Oren Kurland, Michael Bendersky