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Authors: Andreas S. Andreou 1 and Stephanos Mavromoustakos 2

Affiliations: 1 Cyprus University of Technology, Cyprus ; 2 European University Cyprus, Cyprus

ISBN: 978-989-8425-56-0

Keyword(s): Web Recommender Systems, Human, Cultural, Social and organizational factors.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Electronic Commerce ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Software Agents and Internet Computing ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: Recommender Systems (RS) aim at suggesting filtered Web information adapted to the needs or interests of users by predicting their access behavior using a certain strategy or algorithm. The creation of RS is usually approached focusing mostly on user behavior modeling, while the recommendation engine often neglects critical, non-technical aspects of software systems development. Conceiving a RS primarily as a self-contained or part of a Web-application, the present paper utilizes the SpiderWeb methodology and takes into account important requirements that result from human, cultural, social and organizational factors (HSCO) so as to drive the RS development activities.

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Paper citation in several formats:
S. Andreou, A.; S. Andreou, A. and Mavromoustakos, S. (2011). ENHANCING RECOMMENDER SYSTEMS DEVELOPMENT WITH HUMAN, SOCIAL, CULTURAL AND ORGANIZATIONAL FACTORS.In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8425-56-0, pages 211-214. DOI: 10.5220/0003553202110214

@conference{iceis11,
author={Andreas S. Andreou. and Andreas S. Andreou. and Stephanos Mavromoustakos.},
title={ENHANCING RECOMMENDER SYSTEMS DEVELOPMENT WITH HUMAN, SOCIAL, CULTURAL AND ORGANIZATIONAL FACTORS},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2011},
pages={211-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003553202110214},
isbn={978-989-8425-56-0},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - ENHANCING RECOMMENDER SYSTEMS DEVELOPMENT WITH HUMAN, SOCIAL, CULTURAL AND ORGANIZATIONAL FACTORS
SN - 978-989-8425-56-0
AU - S. Andreou, A.
AU - S. Andreou, A.
AU - Mavromoustakos, S.
PY - 2011
SP - 211
EP - 214
DO - 10.5220/0003553202110214

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