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» Competitive recommendation systems
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TKDD
2010
121views more  TKDD 2010»
15 years 2 months ago
Factor in the neighbors: Scalable and accurate collaborative filtering
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
HICSS
2005
IEEE
120views Biometrics» more  HICSS 2005»
15 years 9 months ago
Learning from Project Experiences Using a Legacy-Based Approach
As project teams become used more widely, the question of how to capitalize on the knowledge learned in these teams remains an open issue. Using previous research on transactive m...
Lynne P. Cooper, Ann Majchrzak, Samer Faraj
TAMODIA
2008
15 years 5 months ago
Involving End Users in Distributed Requirements Engineering
Active involvement of end users in the development of interactive systems is both highly recommended and highly challenging. This is particularly true in settings where the require...
Steffen Lohmann, Jürgen Ziegler, Philipp Heim
DELOS
2001
15 years 5 months ago
A Framework for Implicitly Tracking Data
The construction of personalised information systems is becoming more important as the quantity of information to be searched increases. The approach taken in this paper involves ...
Robert Villa, Matthew Chalmers
SOUPS
2009
ACM
15 years 10 months ago
Games for extracting randomness
Randomness is a necessary ingredient in various computational tasks and especially in Cryptography, yet many existing mechanisms for obtaining randomness suffer from numerous pro...
Ran Halprin, Moni Naor