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ICML
2004
IEEE
14 years 6 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
SIGIR
2004
ACM
13 years 11 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
RECSYS
2010
ACM
13 years 6 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
AH
2006
Springer
13 years 9 months ago
eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural de...
Shu-Feng Pan, Ji-Hyun Lee
COOPIS
2004
IEEE
13 years 9 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani