Evaluating the Unification of Multiple Information Retrieval Techniques into a News Indexing Service
Christos Bouras, Vassilis Tsogkas
2014
Abstract
While online information sources are rapidly increasing in amount, so does the daily available online news content. Several approaches have being proposed for organizing this immense amount of data. In this work we explore the integration of multiple information retrieval techniques, like text preprocessing, n-grams expansion, summarization, categorization and item/user clustering into a single mechanism designed to consolidate and index news articles from major news portals from around the web. Our goal is to allow users to seamlessly and quickly get the news of the day that are of appeal to them via our system. We show how, the application of each one of the proposed techniques gradually improves the precision results in terms of the suggested news articles for a number of registered system users and how, aggregately, these techniques provide a unified solution to the recommendation problem.
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Paper Citation
in Harvard Style
Bouras C. and Tsogkas V. (2014). Evaluating the Unification of Multiple Information Retrieval Techniques into a News Indexing Service . In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 33-40. DOI: 10.5220/0004998000330040
in Bibtex Style
@conference{data14,
author={Christos Bouras and Vassilis Tsogkas},
title={Evaluating the Unification of Multiple Information Retrieval Techniques into a News Indexing Service},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={33-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004998000330040},
isbn={978-989-758-035-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Evaluating the Unification of Multiple Information Retrieval Techniques into a News Indexing Service
SN - 978-989-758-035-2
AU - Bouras C.
AU - Tsogkas V.
PY - 2014
SP - 33
EP - 40
DO - 10.5220/0004998000330040