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HT
2010
ACM
13 years 9 months ago
Capturing implicit user influence in online social sharing
Online social sharing sites are becoming very popular nowadays among Web users, who use these sites to share their favourite items and to discover interesting and useful items fro...
Ching-man Au Yeung, Tomoharu Iwata
ICCBR
1999
Springer
13 years 11 months ago
Surfing the Digital Wave
In the future digital TV will offer an unprecedented level of programme choice. We are told that this will lead to dramatic increases in viewer satisfaction as all viewing tastes a...
Barry Smyth, Paul Cotter
IIR
2010
13 years 8 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
KAIS
2011
102views more  KAIS 2011»
13 years 2 months ago
Symbolic data analysis tools for recommendation systems
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 1 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