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RECSYS
2009
ACM
15 years 11 months ago
Context-based splitting of item ratings in collaborative filtering
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
Linas Baltrunas, Francesco Ricci
SIGIR
2005
ACM
15 years 10 months ago
Scalable collaborative filtering using cluster-based smoothing
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hu...
INEX
2005
Springer
15 years 10 months ago
Field-Weighted XML Retrieval Based on BM25
This is the first year for the Centre for Interactive Systems Research participation of INEX. Based on a newly developed XML indexing and retrieval system on Okapi, we extend Robe...
Wei Lu, Stephen E. Robertson, Andrew MacFarlane
SIGIR
2008
ACM
15 years 4 months ago
Exploiting sequential dependencies for expert finding
We propose an expert finding method based on assumption of sequential dependence between a candidate expert and the query terms in the scope of a document. We assume that the stre...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
145
Voted
CIKM
2005
Springer
15 years 6 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari