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A Mobile Context-Aware Proactive Recommendation Approach

Akermi, Imen and Faiz, Rim A Mobile Context-Aware Proactive Recommendation Approach. (2015) In: 7th International Conference on Computational Collective Intelligence (ICCCI 2015), 21 September 2015 - 23 September 2015 (Madrid, Spain).

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Official URL: https://doi.org/10.1007/978-3-319-24069-5_38

Abstract

The Proactive Context Aware Recommender Systems aim at combining a set of technologies and knowledge about the user context not only in order to deliver the most appropriate information to the user need at the right time but also to recommend it without a user query. In this paper, we propose a contextualized proactive multi-domain recommendation approach for mobile devices. Its objective is to efficiently recommend relevant items that match users’ personal interests at the right time without waiting for users to initiate any interaction. Our contribution is divided into two main areas: The modeling of a situational user profile and the definition of an aggregation frame for contextual dimensions combination.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 9329 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN 978-3-319-24068-8 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-24069-5_38
HAL Id:hal-01914028
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Carthage (TUNISIA)
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Deposited By: IRIT IRIT
Deposited On:11 Oct 2018 14:41

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