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» Relevance Feedback Models for Recommendation
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RECSYS
2009
ACM
14 years 9 days ago
Applying relevant set correlation clustering to multi-criteria recommender systems
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
Nkechi Nnadi
SIGIR
2008
ACM
13 years 5 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
SIGIR
2008
ACM
13 years 5 months ago
Improving relevance feedback in language modeling with score regularization
We demonstrate that regularization can improve feedback in a language modeling framework. Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Relevance Fee...
Fernando D. Diaz
CIKM
2008
Springer
13 years 7 months ago
Active relevance feedback for difficult queries
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
Zuobing Xu, Ram Akella