Just-In-Time Recommendation Approach Within A Mobile Context

Imen Akermi (1) , Mohand Boughanem (1, 2) , Rim Faiz (3)

1 IRIT-IRIS - Recherche d’Information et Synthèse d’Information
2 UT3 - Université Toulouse III - Paul Sabatier
3 LARODEC - Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus

Just-In-Time Recommender Systems involve all systems able to provide recommendations tailored to the preferences and needs of users in order to help them access useful and interesting resources within a large data space. The user does not need to formulate a query, this latter is implicit and corresponds to the resources that match the user's interests at the right time. In this paper, we propose a proactive context-aware recommendation approach for mobile devices that covers many domains. It aims at recommending relevant items that match users' personal interests at the right time without waiting for users to initiate any interaction.

Mots clés: mobile computing; proactive context-aware recommendation; mobile communication; data mining; social network services; electronic mail; mobile handsets; Context Modeling; Context-Aware Recommendation; User Modeling; Proactive Recommendation; just-in-time recommendation approach; recommender systems

Domaines: Informatique [cs]

Imen Akermi, Mohand Boughanem, Rim Faiz. Just-In-Time Recommendation Approach Within A Mobile Context. IEEE/WIC/ACM International Conference on Web Intelligence (WI 2016), IEEE; WIC; ACM, Oct 2016, Omaha, Nebraska, United States. pp.636--639, ⟨10.1109/WI.2016.0112⟩. ⟨hal-03116293⟩