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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 9 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 2 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
ECSCW
2001
13 years 10 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
WWW
2001
ACM
14 years 9 months 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
MM
1999
ACM
141views Multimedia» more  MM 1999»
14 years 24 days ago
A multiagent system for content based navigation of music
We describe the integration of content based techniques for navigation of musical information (primarily in MIDI representation) into a multiagent system for distributed informati...
David De Roure, Samhaa R. El-Beltagy, Steven Black...