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» Collaborative Recommender Systems for Building Automation
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KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 7 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
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
HYPERTEXT
2009
ACM
14 years 4 months ago
A scalable, collaborative similarity measure for social annotation systems
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts...
Benjamin Markines, Filippo Menczer
CIKM
2005
Springer
14 years 1 months ago
Feature-based recommendation system
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
Eui-Hong Han, George Karypis
AMKM
2003
Springer
14 years 21 days ago
Agent-Mediated Knowledge Engineering Collaboration
: Knowledge Management is most necessary and valuable in a collaborative and distributed environment. A problem with commercial knowledge management tools is that they do not unde...
Adam Pease, John Li
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 8 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester