Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System

Philippe Mulhem 1 Nawal Ould Amer 1, 2 Mathias Géry 2
1 LIG - Laboratoire d'Informatique de Grenoble
2 LHC - Laboratoire Hubert Curien [Saint Etienne]
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 Bibson-omy corpus. Our findings show that even simple profile adaptation using query is effective for Personalized Information Retrieval.
Keywords : social network probabilistic retrieval profile selection axiomatic IR
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Communication dans un congrès
Sven Hartmann and Hui Ma. Database and Expert Systems Applications - 27th International Conference, DEXA 2016, Sep 2016, Porto, Portugal. Springer, 9828, pp.235 - 243, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-44406-2_17〉
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Soumis le : lundi 10 octobre 2016 - 09:47:20
Dernière modification le : jeudi 11 janvier 2018 - 06:21:05
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Philippe Mulhem, Nawal Ould Amer, Mathias Géry. Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System. Sven Hartmann and Hui Ma. Database and Expert Systems Applications - 27th International Conference, DEXA 2016, Sep 2016, Porto, Portugal. Springer, 9828, pp.235 - 243, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-44406-2_17〉. 〈ujm-01377069〉

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