A SOFTWARE AGENT FOR CONTENT BASED RECOMMENDATIONS FOR THE WWW

Gulden Uchyigit

Abstract

The evolution of the WWW has led to an explosion of information and consequentially a significant increase on usage. This avalanche effect has resulted in such uncertain environment in which we find it difficult to clarify what we want, or to find what we need. In this paper we introduce RecSys which aims to confront the problem by developing a software agent which intelligently learns users interests, and hence makes recommendations of resources on WWW based on the user’s profile. The system employs multiple TFIDF vectors to represent various domains of user’s interests. It continuously and progressively learns users profile from both implicit and explicit feedback. This is achieved by extraction and refinement of featured keywords within the learning examples. Several heuristics were also adapted to improve the overall performance of the system.

References

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Paper Citation


in Harvard Style

Uchyigit G. (2008). A SOFTWARE AGENT FOR CONTENT BASED RECOMMENDATIONS FOR THE WWW . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8111-39-5, pages 178-183. DOI: 10.5220/0001720501780183


in Bibtex Style

@conference{iceis08,
author={Gulden Uchyigit},
title={A SOFTWARE AGENT FOR CONTENT BASED RECOMMENDATIONS FOR THE WWW},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2008},
pages={178-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001720501780183},
isbn={978-989-8111-39-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - A SOFTWARE AGENT FOR CONTENT BASED RECOMMENDATIONS FOR THE WWW
SN - 978-989-8111-39-5
AU - Uchyigit G.
PY - 2008
SP - 178
EP - 183
DO - 10.5220/0001720501780183