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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 3 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
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 1 months 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...
JMLR
2010
109views more  JMLR 2010»
13 years 3 months ago
Matrix Completion from Noisy Entries
Given a matrix M of low-rank, we consider the problem of reconstructing it from noisy observations of a small, random subset of its entries. The problem arises in a variety of app...
Raghunandan H. Keshavan, Andrea Montanari, Sewoong...