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Authors: Gianluca Moro ; Roberto Pasolini and Claudio Sartori

Affiliation: University of Bologna, Italy

ISBN: 978-989-758-271-4

Keyword(s): Information Retrieval, Personalized Search, Query Expansion, Local Files, Search Engine.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: Users of Web search engines generally express information needs with short and ambiguous queries, leading to irrelevant results. Personalized search methods improve users’ experience by automatically reformulating queries before sending them to the search engine or rearranging received results, according to their specific interests. A user profile is often built from previous queries, clicked results or in general from the user’s browsing history; different topics must be distinguished in order to obtain an accurate profile. It is quite common that a set of user files, locally stored in sub-directory, are organized by the user into a coherent taxonomy corresponding to own topics of interest, but only a few methods leverage on this potentially useful source of knowledge. We propose a novel method where a user profile is built from those files, specifically considering their consistent arrangement in directories. A bag of keywords is extracted for each directory from text documents with in it. We can infer the topic of each query and expand it by adding the corresponding keywords, in order to obtain a more targeted formulation. Experiments are carried out using benchmark data through a repeatable systematic process, in order to evaluate objectively how much our method can improve relevance of query results when applied upon a third-party search engine. (More)

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Paper citation in several formats:
Moro, G.; Pasolini, R. and Sartori, C. (2017). Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 157-164. DOI: 10.5220/0006486401570164

@conference{kdir17,
author={Gianluca Moro. and Roberto Pasolini. and Claudio Sartori.},
title={Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006486401570164},
isbn={978-989-758-271-4},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files
SN - 978-989-758-271-4
AU - Moro, G.
AU - Pasolini, R.
AU - Sartori, C.
PY - 2017
SP - 157
EP - 164
DO - 10.5220/0006486401570164

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