Naieme Hazrati

According to our database, Naieme Hazrati authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Choice models and recommender systems effects on users' choices.

Naieme Hazrati, Francesco Ricci

User Model. User Adapt. Interact., March, 2024

2022

Recommender systems effect on the evolution of users' choices distribution.

Naieme Hazrati, Francesco Ricci

Inf. Process. Manag., 2022

Simulating Users' Interactions with Recommender Systems.

Naieme Hazrati, Francesco Ricci

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Learning Choice Models for Simulating Users' Interactions with Recommender Systems.

Naieme Hazrati, Francesco Ricci

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Choice Models for Simulating the Consumption of Recommendations.

Naieme Hazrati, Francesco Ricci

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality.

Naieme Hazrati, Francesco Ricci

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

2021

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines.

Naieme Hazrati, Mehdi Elahi

Expert Syst. J. Knowl. Eng., 2021

Quality and Diversity of Recommender Systems Users' Choices: a Simulation Perspective.

Naieme Hazrati, Francesco Ricci

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Impact of Recommender Systems on the Dynamics of Users' Choices.

Naieme Hazrati

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Recommender systems effect on user' choice behaviour.

Naieme Hazrati

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices.

Naieme Hazrati, Mehdi Elahi, Francesco Ricci

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

2019

Entity representation for pairwise collaborative ranking using restricted Boltzmann machine.

Naieme Hazrati, Bita Shams, Saman Haratizadeh

Expert Syst. Appl., 2019

Analysing Recommender Systems Impact on Users' Choices.

Naieme Hazrati, Mehdi Elahi, Francesco Ricci

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019