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» Learning recommender systems with adaptive regularization
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HIS
2004
13 years 11 months ago
A Case-Based Recommender for Task Assignment in Heterogeneous Computing Systems
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
S. Ghanbari, Mohammad Reza Meybodi, Kambiz Badie
RECSYS
2009
ACM
14 years 4 months ago
Learning to recommend with trust and distrust relationships
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
Hao Ma, Michael R. Lyu, Irwin King
ICALT
2010
IEEE
13 years 10 months ago
Towards a Competence Based System for Recommending Study Materials (CBSR)
— Most e-learning systems require intervention from a teacher. The development of adaptive hypermedia systems, such as intelligent tutoring systems, aimed to reduce the teachersâ...
Athitaya Nitchot, Lester Gilbert, Gary B. Wills
ICALT
2005
IEEE
14 years 3 months ago
Goal Oriented Personalisation with SCORM
This paper presents an innovative approach to personalize on-line content to the needs of individual learners. We use a regular educational environment, the BlackboardTM Learning ...
Guillermo Power, Hugh C. Davis, Alexandra I. Crist...
LWA
2008
13 years 11 months ago
Hybrid Personalization For Recommendations
In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hyb...
Eelco Herder, Philipp Kärger