Personalized Parsimonious Language Models for User Modeling in Social Bookmaking Systems
Résumé
This paper focuses on building accurate profiles of users, based on bookmarking systems. To achieve this goal, we define personalized parsimonious language models that employ three main resources: the tags, the documents tagged by the user and word embeddings that handle general knowledge. Experiments completed on Delicious data show that our proposal outperforms state-of-the-art approaches and non-personalized parsimonious models.
Domaines
Recherche d'information [cs.IR]
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2017_10_12_personalized-parsimonious-language_version_finale.pdf (309.99 Ko)
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