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Context-Aware Multi-criteria Recommendation Based on Spectral Graph Partitioning

Dridi, Rime and Tamine-Lechani, Lynda and Slimani, Yahya Context-Aware Multi-criteria Recommendation Based on Spectral Graph Partitioning. (2019) In: International Conference on Database and Expert Systems Applications (DEXA 2019), 26 August 2019 - 29 August 2019 (Linz, Austria).

(Document in English)

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Official URL: https://doi.org/10.1007/978-3-030-27618-8_16


Both multi-criteria recommendation and context-aware recommendation are well addressed in previous research but separately in most of existing work. In this paper, we aim to contribute to the under-explored research problem which consists in tailoring the multi-criteria rating predictions to users involved in specific contexts. We investigate the application of simultaneous clustering based on the application of a spectral partitioning graph method over situational contexts in the one hand and criteria in the other hand. Besides, we conjecture that even with similar criteria-related ratings, the importance of criteria might differ among users. This idea leads us to use prioritized aggregation operators as means of multi-criteria rating aggregations. Our experimental results on a real-world dataset show the effectiveness of our approach.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 11707 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN 978-3-030-27617-1 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-030-27618-8_16
HAL Id:hal-02397450
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 - Toulouse INP (FRANCE)
Other partners > Université de la Manouba - UMA (TUNISIA)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (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)
Laboratory name:
Deposited On:28 Nov 2019 15:30

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