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SIGIR
2006
ACM
14 years 1 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
CHI
2004
ACM
14 years 8 months ago
Examining the robustness of sensor-based statistical models of human interruptibility
Current systems often create socially awkward interruptions or unduly demand attention because they have no way of knowing if a person is busy and should not be interrupted. Previ...
James Fogarty, Scott E. Hudson, Jennifer Lai
HICSS
2009
IEEE
189views Biometrics» more  HICSS 2009»
14 years 2 months ago
Predicting Change: A Study of the Value Frequency Model for Change of Practice
Information systems (IS) researchers have made considerable progress on defining and formalizing structured methods to support collaborative development of information systems. Co...
Robert O. Briggs, John D. Murphy, Thomas F. Carlis...
MM
2010
ACM
141views Multimedia» more  MM 2010»
13 years 6 months ago
Automatic and manual processes in end-user multimedia authoring tools: where is the balance?
This thesis aims to analyze, model, and develop a framework for next-generation multimedia authoring tools targeted to end-users. In particular, I concentrate on the combination o...
Rodrigo Laiola Guimarães
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 9 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