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» Learning to rank for information retrieval (LR4IR 2008)
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WWW
2009
ACM
16 years 6 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
RECSYS
2009
ACM
16 years 19 days ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
Benjamin M. Marlin, Richard S. Zemel
IADIS
2004
15 years 7 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
WWW
2008
ACM
16 years 6 months ago
On the Effect of Group Structures on Ranking Strategies in Folksonomies
Folksonomies have shown interesting potential for improving information discovery and exploration. Recent folksonomy systems investigate on the use of tag assignments, which combi...
Fabian Abel, Nicola Henze, Daniel Krause, Matthias...
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