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

Gianluca Moro, Roberto Pasolini, Claudio Sartori (2017). Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files. Funchal, Madeira : SCITEPRESS [10.5220/0006486401570164].

Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files

Gianluca Moro;Roberto Pasolini
;
Claudio Sartori
2017

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
2017
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - (Volume 1)
157
164
Gianluca Moro, Roberto Pasolini, Claudio Sartori (2017). Personalized Web Search via Query Expansion based on User’s Local Hierarchically-Organized Files. Funchal, Madeira : SCITEPRESS [10.5220/0006486401570164].
Gianluca Moro; Roberto Pasolini; Claudio Sartori
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/611389
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