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RECSYS
2009
ACM
15 years 10 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
139
Voted
SIGIR
2005
ACM
15 years 9 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 9 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 3 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
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