1. DADOUN Amine
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DADOUN Amine

Thèse

Dadoun, Amine

Semantic data driven approach for merchandizing optimization

Thesis
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Conférence

Dadoun, Amine; Troncy, Raphaël; Defoin Platel, Michael; Ayala Solano, Gerardo

Predicting your next trip: A knowledge graph-based multi-task learning approach for travel destination recommendation

RecTour 2021, ACM RecSys Workshop on Recommenders in Tourism, in conjunction with ACM RecSys 2021, 26 September 2021, Amsterdam, The Netherlands
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Conférence

Dadoun, Amine; Troncy, Raphaël; Defoin Platel, Michael; Petitti, Riccardo; Ayala Solano, Gerardo

Optimizing email marketing campaigns in the airline industry using knowledge graph embeddings

Workshop Knowledge management in Ecommerce, to be held in conjunction with the Web Conference 2021, 19-23 April 2021, Ljubljana, Slovenia (Virtual Conference)
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Journal

Dadoun, Amine; Defoin-Platel, Michael; Fiig, Thomas; Landra, Corinne; Troncy, Raphaël

How recommender systems can transform airline offer construction and retailing

Journal of Revenue and Pricing Management, March 2021
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Rapport

Abbas, Nacira; Alghamdi, Kholoud; Alinam, Mortaza; Alloatti, Francesca; Amaral, Glenda; d'Amato, Claudia; Asprino, Luigi; and al.

Knowledge graphs evolution and preservation - A technical report from ISWS 2019

Submitted to ArXiV, 22 December 2020
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Conférence

Dadoun, Amin; Troncy, Raphaël

Many-to-one recurrent neural network for session-based recommendation

Submitted on ArXiV, 25 August 2020
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Rapport

Dadoun, Amin; Harrando, Ismail; Lisena, Pasquale; Reboud, Alison; Troncy, Raphaël

Two stages approach for tweet engagement prediction

Technical Report, CoRR abs/2008.10419, 24 August 2020
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Poster / Demo

Dadoun, Amine

Semantic data driven approach for merchandizing optimization

ISWS 2019, International Semantic Web Research Summer School 2019, 30 June-7 July 2019, Bertinoro, Italy
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Conférence

Dadoun, Amine; Troncy, Raphaël; Ratier, Olivier; Petitti, Riccardo

Location embeddings for next trip recommendation

WWW 2019, The Web Conference 2019, 30th International World Wide Web Conference, 13-17 May 2019, San Francisco, USA

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