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Viser treff 1-7 av 7

2020
1 Ardagna, Claudio Agostino; Asal, Rasool; Damiani, Ernesto; Elahi, Mehdi; Pahl, Claus.
From Trustworthy Data to Trustworthy IoT: A Data Collection Methodology Based on Blockchain. ACM Transactions on Cyber-Physical Systems 2020
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2 El Majjodi, Ayoub; Elahi, Mehdi; El Ioini, Nabil; Trattner, Christoph.
Towards Generating Personalized Country Recommendation. I: UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM) 2020 ISBN 978-1-4503-6861-2. s. 71-76
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3 Elahi, Mehdi; Hosseini, Reza; Rimaz, Mohammad H.; Moghaddam, Farshad B.; Trattner, Christoph.
Visually-Aware Video Recommendation in the Cold Start. I: HT '20: Proceedings of the 31st ACM Conference on Hypertext and Social Media. Association for Computing Machinery (ACM) 2020 ISBN 978-1-4503-7098-1. s. 225-229
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4 Hazrati, Naieme; Elahi, Mehdi.
Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Expert systems 2020
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5 Hazrati, Naieme; Elahi, Mehdi; Ricci, Francesco.
Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. I: HT '20: Proceedings of the 31st ACM Conference on Hypertext and Social Media. Association for Computing Machinery (ACM) 2020 ISBN 978-1-4503-7098-1. s. 207-212
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2019
6 Moghaddam, Farshad Bakhshandegan; Elahi, Mehdi; Hosseini, Reza; Trattner, Christoph; Tkalcic, Marko.
Predicting Movie Popularity and Ratings with Visual Features. I: 14th International Workshop on Semantic and Social Media Adaptation and Personalization. IEEE 2019 ISBN 978-1-7281-3634-9.
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7 Rimaz, Mohammad Hossein; Elahi, Mehdi; Moghaddam, Farshad Bakhshandegan; Trattner, Christoph; Hosseini, Reza; Tkalcic, Marko.
Exploring the Power of Visual Features for the Recommendation of Movies. I: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. Springer 2019 ISBN 978-1-4503-6021-0.
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