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ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
15 years 12 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
EWCBR
2004
Springer
15 years 11 months ago
Dynamic Critiquing
Abstract. Critiquing is a powerful style of feedback for case-based recommender systems. Instead of providing detailed feature values, users indicate a directional preference for a...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
IUI
2003
ACM
15 years 10 months ago
Recommendations without user preferences: a natural language processing approach
We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement an...
Michael Fleischman, Eduard H. Hovy
RECSYS
2009
ACM
15 years 10 months ago
Putting recommendations on the map: visualizing clusters and relations
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov, C...
RTAS
1998
IEEE
15 years 9 months ago
Using Windows NT for Real-Time Applications: Experimental Observations and Recommendations
Windows NT was not designed as a real-time operating system, but market forces and the acceptance of NT in industrial applications have generated a need for achieving real-time fu...
Krithi Ramamritham, Chia Shen, Oscar Gonzál...