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Article Dans Une Revue IT Professional Année : 2015

Context Adaptation for Smart Recommender Systems.

Fanjuan Shi
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Chirine Ghedira
Marini Jean-Luc
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Résumé

Contextual factors are considered as important mediator to improve the performance of a recommender system. In e-commerce sector, such contextual factors as users’ real time state of mind and budget play a critical role in the consumer decision-making process. Using a context-aware approach, we develop a recommendation model which can identify user’s state of mind and budget based on clickstream data. The model is deployed on a French e-commerce website for comparative A/B test. Result shows that usage of the context-aware system is significantly higher than the benchmarking system. Implications and managerial suggestions are discussed.
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Dates et versions

hal-01248569 , version 1 (27-12-2015)

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Fanjuan Shi, Chirine Ghedira, Marini Jean-Luc. Context Adaptation for Smart Recommender Systems.. IT Professional, 2015, 17 (6), pp.18-26. ⟨10.1109/MITP.2015.96⟩. ⟨hal-01248569⟩
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