Mohammad Hossein Rimaz

According to our database, Mohammad Hossein Rimaz authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semantic Asset Administration Shell for Circular Economy.

Mohammad Hossein Rimaz, Christiane Plociennik, Martin Ruskowski

Proceedings of the The 2nd International Workshop on Knowledge Graphs for Sustainability (KG4S 2024) colocated with the 21st Extended Semantic Web Conference (ESWC 2024), 2024

2023

Am I in Good Shape? Flexible Way to Validate Asset Administration Shell Data Entry via Shapes Constraint Language.

Mohammad Hossein Rimaz, Christiane Plociennik, Leonhard Kunz, Martin Ruskowski

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

A Multi-Stakeholder Digital Product Passport Based on the Asset Administration Shell.

Monireh Pourjafarian, Christiane Plociennik, Mohammad Hossein Rimaz, Peter Stein, Malte Vogelgesang, Chanchan Li, Svenja Knetsch, Simon Bergweiler, Martin Ruskowski

Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2021

Recommending Videos in Cold Start With Automatic Visual Tags.

Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

2020

AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem.

Mohammad Hossein Rimaz, Reza Hosseini, Mehdi Elahi, Farshad Bakhshandegan Moghaddam

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Visually-Aware Video Recommendation in the Cold Start.

Mehdi Elahi, Reza Hosseini, Mohammad Hossein Rimaz, Farshad Bakhshandegan Moghaddam, Christoph Trattner

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019

Exploring the Power of Visual Features for the Recommendation of Movies.

Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019