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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
11 years 2 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
ICCBR
2010
Springer
11 years 2 months ago
Case-Based Plan Diversity
The concept of diversity was successfully introduced for recommender-systems. By displaying results that are not only similar to a target problem but also diverse among themselves,...
Alexandra Coman, Héctor Muñoz-Avila
ACMICEC
2007
ACM
143views ECommerce» more  ACMICEC 2007»
11 years 2 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
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
11 years 2 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
SIGECOM
1999
ACM
117views ECommerce» more  SIGECOM 1999»
11 years 2 months ago
Recommender systems in e-commerce
Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce...
J. Ben Schafer, Joseph A. Konstan, John Riedl
IUI
2000
ACM
11 years 2 months ago
A recipe based on-line food store
In this paper we present a recommender system design for recipe based on-line food shopping. Our system differs in two major ways from existing system. First we use an editor that...
Martin Svensson, Jarmo Laaksolahti, Kristina H&oum...
CSCW
2000
ACM
11 years 2 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
UM
2009
Springer
11 years 3 months ago
History Dependent Recommender Systems Based on Partial Matching
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Armelle Brun, Geoffray Bonnin, Anne Boyer
RECSYS
2009
ACM
11 years 3 months ago
MoviExplain: a recommender system with explanations
Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com etc.) try to explain their recommendations, in an eff...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
AINA
2009
IEEE
11 years 3 months ago
Do Metrics Make Recommender Algorithms?
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
Elica Campochiaro, Riccardo Casatta, Paolo Cremone...
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