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ACMICEC
2007
ACM
143views ECommerce» more  ACMICEC 2007»
15 years 1 months ago
Integrated personal recommender systems
Recommender Systems belong to a class of systems intended to assist individuals make evaluations about entities in meaningful ways. In this paper we discuss the issues in the desi...
Ronald Chung, David Sundaram, Ananth Srinivasan
78
Voted
ICWE
2010
Springer
14 years 8 months ago
Automated Generation of Itineraries in Recommender Systems for Tourism
Current recommender systems can support tourists in choosing travel products (accommodation, activities, means of transport, etc.), in planning long trips, and in profitably spendi...
Pierpaolo Di Bitonto, Francesco Di Tria, Maria Lat...
NMR
2004
Springer
15 years 2 months ago
A first approach to argument-based recommender systems based on defeasible logic programming
Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computermediated tasks by providing guidelines or hints. Most recommender ...
Carlos Iván Chesñevar, Ana Gabriela ...
ICMLA
2008
14 years 11 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes
SIGIR
2010
ACM
15 years 1 months ago
Temporal diversity in recommender systems
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...