Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System

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.
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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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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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