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DSS
2007
104views more  DSS 2007»
13 years 7 months ago
Investigating interactions of trust and interest similarity
Online communities that allow their users to express their personal preferences, such as the members they trust and the products they appreciate, are becoming increasingly popular...
Cai-Nicolas Ziegler, Jennifer Golbeck
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
RECSYS
2009
ACM
14 years 2 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
FLAIRS
2006
13 years 9 months ago
CATS: A Synchronous Approach to Collaborative Group Recommendation
Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of ...
Kevin McCarthy, Maria Salamó, Lorcan Coyle,...