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» Manipulation Robustness of Collaborative Filtering
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SP
2002
IEEE
141views Security Privacy» more  SP 2002»
13 years 8 months ago
Collaborative Filtering with Privacy
Server-based collaborative filtering systems have been very successful in e-commerce and in direct recommendation applications. In future, they have many potential applications in...
John F. Canny
WEBI
2009
Springer
14 years 3 months ago
Zero-Sum Reward and Punishment Collaborative Filtering Recommendation Algorithm
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
Nan Li, Chunping Li
C5
2005
IEEE
14 years 2 months ago
Filters and Tasks in Croquet
Croquet [11,12] is a collaborative 3D platform that allows users to work together to create and share ideas. From the beginning we have worked to ensure that the Croquet interface...
David A. Smith, Andreas Raab, Yoshiki Ohshima, Dav...
CSE
2009
IEEE
14 years 3 months ago
A Visual Interface for Social Information Filtering
Abstract—Collaborative or “Social” filtering has been successfully deployed over the years as a technique for analysing large amounts of user-preference knowledge to predict...
John O'Donovan, Brynjar Gretarsson, Svetlin Bostan...
DEBU
2008
186views more  DEBU 2008»
13 years 8 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke