A Media Tracking and News Recommendation System

Servet Tasci, Ilyas Cicekli

2014

Abstract

Nowadays, the amount of documents on internet resources is increasing at an unprecedented speed and users are tired of searching important and related ones among enormous amount of documents. Users require a personalized support in sifting through large amounts of available information according to their interests and recommendation systems try to answer this need. In this context, it is crucial to offer user friendly tools that facilitate faster and more accurate access to articles in digital newspapers. In this paper, a time-based recommendation system for news domain is presented. News articles are recommended according to user dynamic and static profiles. User dynamic profiles reflect user past interests and recent interests play much bigger roles in the selection of recommendations. Our recommendation system is a complete content-based recommendation system together with categorization, summarization and news collection modules.

Paper Citation

in Harvard Style

Tasci S. and Cicekli I. (2014). A Media Tracking and News Recommendation System . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 53-60. DOI: 10.5220/0005072000530060

in Bibtex Style

@conference{kdir14,
author={Servet Tasci and Ilyas Cicekli},
title={A Media Tracking and News Recommendation System},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={53-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005072000530060},
isbn={978-989-758-048-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - A Media Tracking and News Recommendation System
SN - 978-989-758-048-2
AU - Tasci S.
AU - Cicekli I.
PY - 2014
SP - 53
EP - 60
DO - 10.5220/0005072000530060