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A Preference-Driven Database Approach to Reciprocal User Recommendations in Online Social Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System

Authors : Philippe Mulhem, Nawal Ould Amer, Mathias Géry

Published in: Database and Expert Systems Applications

Publisher: Springer International Publishing

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Abstract

This paper tackles the problem of pinpointing relevant information in a social network for Personalized Information Retrieval (PIR). We start from the premise that user profiles must be filtered so that they outperform non profile based queries. The formal Profile Query Expansion Constraint is then defined. We fix a specific integration of profile and a probabilistic matching framework that fits into the constraint defined. Experiments are conducted on the Bibsonomy corpus. Our findings show that even simple profile adaptation using query is effective for Personalized Information Retrieval.

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previous chapter A Score Fusion Method Using a Mixture Copula
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Footnotes
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Metadata
Title
Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System
Authors
Philippe Mulhem
Nawal Ould Amer
Mathias Géry
Copyright Year
2016
Book
Database and Expert Systems Applications

Print ISBN: 978-3-319-44405-5

Electronic ISBN: 978-3-319-44406-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-44406-2_17

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