Usearch: A Meta Search Engine based on a New Result Merging Strategy

Tarek Alloui, Imane Boussebough, Allaoua Chaoui, Ahmed Zakaria Nouar, Mohamed Chaouki Chettah

Abstract

Meta Search Engines are finding tools developed for improving the search performance by submitting user queries to multiple search engines and combining the different search results in a unified ranked list. The effectiveness of a Meta search engine is closely related to the result merging strategy it employs. But nowadays, the main issue in the conception of such systems is the merging strategy of the returned results. With only the user query as relevant information about his information needs, it’s hard to use it to find the best ranking of the merged results. We present in this paper a new strategy of merging multiple search engine results using only the user query as a relevance criterion. We propose a new score function combining the similarity between user query and retrieved results and the users’ satisfaction toward used search engines. The proposed Meta search engine can be used for merging search results of any set of search engines.

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Paper Citation


in Harvard Style

Alloui T., Boussebough I., Chaoui A., Nouar A. and Chettah M. (2015). Usearch: A Meta Search Engine based on a New Result Merging Strategy . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 531-536. DOI: 10.5220/0005642905310536


in Bibtex Style

@conference{kdir15,
author={Tarek Alloui and Imane Boussebough and Allaoua Chaoui and Ahmed Zakaria Nouar and Mohamed Chaouki Chettah},
title={Usearch: A Meta Search Engine based on a New Result Merging Strategy},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={531-536},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005642905310536},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - Usearch: A Meta Search Engine based on a New Result Merging Strategy
SN - 978-989-758-158-8
AU - Alloui T.
AU - Boussebough I.
AU - Chaoui A.
AU - Nouar A.
AU - Chettah M.
PY - 2015
SP - 531
EP - 536
DO - 10.5220/0005642905310536