A Method to Manage the Difference of Precision between Profiles and Items for Recommender System - Applied Upon a News Recommender System using SVM Approach

David Werner, Christophe Cruz

2013

Abstract

Contractors, commercial and business decision-makers need economical information to drive their decisions. The production and distribution of a press review about French regional economic actors represents a prospecting tool on partners and competitors for the businessman. Our goal is to propose a customized review for each user, thus reducing the overload of useless information. Some systems for recommending news items already exist. The usefulness of external knowledge to improve the process has already been explained in information retrieval. The system’s knowledge base includes the domain knowledge used during the recommendation process. Our recommender system architecture is standard, but during the indexing task, the representations of content of each article and interests of users’ profiles created are based on this domain knowledge. Articles and Profiles are semantically defined in the Knowledge base via concepts, instances and relations. This paper deals with the similarity measure, a critical subtask in recommendation systems. The Vector Space Model is a well-known model used for relevance ranking. The problematic exposed here is the utilization of the standard VSM method with our indexing method.

Paper Citation

in Harvard Style

Werner D. and Cruz C. (2013). A Method to Manage the Difference of Precision between Profiles and Items for Recommender System - Applied Upon a News Recommender System using SVM Approach . In Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8565-54-9, pages 465-470. DOI: 10.5220/0004373404650470

in Bibtex Style

@conference{webist13,
author={David Werner and Christophe Cruz},
title={A Method to Manage the Difference of Precision between Profiles and Items for Recommender System - Applied Upon a News Recommender System using SVM Approach},
booktitle={Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2013},
pages={465-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004373404650470},
isbn={978-989-8565-54-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A Method to Manage the Difference of Precision between Profiles and Items for Recommender System - Applied Upon a News Recommender System using SVM Approach
SN - 978-989-8565-54-9
AU - Werner D.
AU - Cruz C.
PY - 2013
SP - 465
EP - 470
DO - 10.5220/0004373404650470