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AAAI
2006
15 years 1 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
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-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
85
Voted
CSCW
2000
ACM
15 years 4 months ago
Expertise recommender: a flexible recommendation system and architecture
Locating the expertise necessary to solve difficult problems is a nuanced social and collaborative problem. In organizations, some people assist others in locating expertise by ma...
David W. McDonald, Mark S. Ackerman
WWW
2001
ACM
16 years 10 days ago
Building a Lifestyle Recommender System
Recommender systems are new types of internet-based software tools, designed to help users find their way through today's complex on-line shops and entertainment websites. He...
Supiya Ujjin, Peter J. Bentley
102
Voted
SIGIR
2012
ACM
13 years 2 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
KBS
2006
127views more  KBS 2006»
14 years 11 months ago
Collaborative Recommending using Formal Concept Analysis
We show how Formal Concept Analysis (FCA) can be applied to Collaborative Recommenders. FCA is a mathematical method for analysing binary relations. Here we apply it to the relati...
Patrick du Boucher-Ryan, Derek G. Bridge