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» Using Temporal Data for Making Recommendations
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CHI
2010
ACM
15 years 4 months ago
Curator: a game with a purpose for collection recommendation
Collection recommender systems suggest groups of items that work well as a whole. The interaction effects between items is an important consideration, but the vast space of possib...
Greg Walsh, Jennifer Golbeck
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
15 years 10 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
14 years 9 months ago
Systems Biology via Redescription and Ontologies (III): Protein Classification Using Malaria Parasite's Temporal Transcriptomic
This paper addresses the protein classification problem, and explores how its accuracy can be improved by using information from time-course gene expression data. The methods are ...
Antonina Mitrofanova, Samantha Kleinberg, Jane Car...
RECSYS
2009
ACM
15 years 4 months ago
Latent dirichlet allocation for tag recommendation
Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in...
Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl