Towards Keyword-based Pull Recommendation Systems

María del Carmen Rodríguez-Hernández, Sergio Ilarri, Raquel Trillo-Lado, Francesco Guerra

Abstract

Due to the high availability of data, users are frequently overloaded with a huge amount of alternatives when they need to choose a particular item. This has motivated an increased interest in research on recommendation systems, which filter the options and provide users with suggestions about specific elements (e.g., movies, restaurants, hotels, books, etc.) that are estimated to be potentially relevant for the user. In this paper, we describe and evaluate two possible solutions to the problem of identification of the type of item (e.g., music, movie, book, etc.) that the user specifies in a pull-based recommendation (i.e., recommendation about certain types of items that are explicitly requested by the user). We evaluate two alternative solutions: one based on the use of the Hidden Markov Model and another one exploiting Information Retrieval techniques. Comparing both proposals experimentally, we can observe that the Hidden Markov Model performs generally better than the Information Retrieval technique in our preliminary experimental setup.

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Paper Citation


in Harvard Style

Rodríguez-Hernández M., Ilarri S., Trillo-Lado R. and Guerra F. (2016). Towards Keyword-based Pull Recommendation Systems . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 207-214. DOI: 10.5220/0005865402070214


in Bibtex Style

@conference{iceis16,
author={María del Carmen Rodríguez-Hernández and Sergio Ilarri and Raquel Trillo-Lado and Francesco Guerra},
title={Towards Keyword-based Pull Recommendation Systems},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005865402070214},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards Keyword-based Pull Recommendation Systems
SN - 978-989-758-187-8
AU - Rodríguez-Hernández M.
AU - Ilarri S.
AU - Trillo-Lado R.
AU - Guerra F.
PY - 2016
SP - 207
EP - 214
DO - 10.5220/0005865402070214