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» Collaborative Recommending using Formal Concept Analysis
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159
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SIGIR
2009
ACM
15 years 9 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
172
Voted
CODAS
1996
157views more  CODAS 1996»
15 years 4 months ago
Flexible Workflow Framework for Supporting Collaborative Works
Database technologies are indispensable for workflow management system, one of the remarkable groupware supporting asynchronous distributed cooperative work. In this paper, a form...
Takeo Kunishima, Kazumasa Yokota
CLA
2004
15 years 4 months ago
Fast Factorization of Concept Lattices by Similarity: Solution and an Open Problem
An important problem in applications of formal concept analysis is a possibly large number of clusters extracted from data. Factorization is one of the methods being used to cope w...
Radim Belohlávek, Jiri Dvorak, Jan Outrata
137
Voted
APCCM
2009
15 years 4 months ago
Conceptional Modeling and Analysis of Spatio-Temporal Processes in Biomolecular Systems
In life science, deeper understanding of biomolecular systems is acquired by computational modeling and analysis. For the modeling of several kinds of reaction networks, e.g. sign...
Andreas Schäfer, Mathias John
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 7 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...