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STAIRS
2008
169views Education» more  STAIRS 2008»
15 years 6 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer
CORR
2007
Springer
150views Education» more  CORR 2007»
15 years 4 months ago
Social Information Processing in Social News Aggregation
The rise of social media sites — blogs, wikis, and Digg — underscores the transformation of the Web to a participatory medium in which users are collaboratively creating, eval...
Kristina Lerman
AAAI
2012
13 years 7 months ago
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 5 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings
ICSM
2009
IEEE
15 years 11 months ago
Understanding source package organization using the hybrid model
Within a large, object-oriented software system it is common to partition the classes into a set of packages, which implicitly serve as a set of coarsely-grained logical design un...
Xinyi Dong, Michael W. Godfrey