Recommender

Recommender Systems in E-Commerce

Recommender Systems in E-Commerce J. Ben Schafer, Joseph Konstan, John Riedl GroupLens Research Project Department of Computer Science and Engineering

citeseer.ist.psu.edu

Context-Aware Recommender Systems

Context-Aware Recommender Systems Gediminas Adomavicius, Alexander Tuzhilin Abstract Theimportance of contextual information has been recognized by researchers and practitioners in many disciplines, includinge-commerce personalization, information retrieval, ubiquitous and mobile ...

ids.csom.umn.edu

Recommender systems.(Special Section: Recommender Systems ...

Recommender systems.(Special Section: Recommender Systems)(Cover Story) by Paul Resnick and Hal R. Varian People often use recommender systems to make decision.

www.ischool.utexas.edu

Recommender Systems with Social Regularization

Recommender Systems with Social Regularization Hao Ma The ChineseUniversity of Hong Kong Shatin, N.T., Hong Kong [email protected] Dengyong Zhou Microsoft Research One Microsoft Way Redmond, WA 98052 [email protected] Chao Liu Microsoft Research One Microsoft Way Redmond, WA 98052 chaoliu ...

research.microsoft.com

Do Recommender Systems Manipulate Consumer Preferences? A ...

1 Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects ABSTRACT Recommender systems are becoming a salient part of many e-commerce websites.

misrc.umn.edu

Towards the Next Generation of Recommender Systems: A Survey ...

1 Towards the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions Gediminas Adomavicius 1 and Alexander Tuzhilin 2 Abstract -The paper presents an overview of the field of recommender systems and describes the current generation of recommendation ...

ids.csom.umn.edu

An MDP-BasedRecommender System*

Recommender Systems (Resnickand Varian, 1997) help users limit their search by supplying alist of items that might interest a specific user. Different approaches were suggested for supplying meaningful recommendations to users and some were implemented in modern sites (Schaferetal., 2001).

jmlr.csail.mit.edu

Collaborative Competitive Filtering: Learning Recommender ...

Collaborative Competitive Filtering: Learning Recommender Using Context of User Choice Shuang Hong Yang Georgia Tech [email protected] Bo Long Yahoo!

www.cc.gatech.edu

Recommender Systems in E-Commerce

Recommender Systems in E-Commerce J. Ben Schafer, Joseph Konstan, John Riedl GroupLens Research Project Department of Computer Science and Engineering University of Minnesota Minneapolis, MN 55455 1-612-625-4002 {schafer, konstan, riedl}@cs.umn.edu ABSTRACT Recommender systems are changing from ...

citeseerx.ist.psu.edu

Knowledge-based recommender systems

1 Knowledge-based recommender systems Robin Burke Department of Information and Computer Science University of California, Irvine [email protected] (To Appear in the Encyclopedia of Library and Information Science.)

www.cs.pitt.edu

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