Authors:
Leandro N. Ciuffo
and
Elisa Ingrà
Affiliation:
Istituto Nazionale di Fisica Nucleare, Italy
Keyword(s):
Recommender systems, Personalization, Collaborative filtering, Grid computing, Distributed computing, gLite middleware.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Internet and Collaborative Computing
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Network Implementation Choices
;
Object Orientation in Internet and Distributed Computing
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
Today’s business becomes increasingly computational-intense. Grid computing is a powerful paradigm for running ever-larger workloads and services. Commercial users have been attracted by this technology, which can potentially be exploited by industries and SMEs to offer new services with reduced costs and higher performance. This work aims at presenting a “gridified” implementation of a Recommender System based on the classic Collaborative Filtering algorithm. It also introduces the core services of the gLite middleware and discusses the potential benefits of using Grids to support the development of such systems.