Analysing Recommender Systems Impact on Users' Choices. - Naieme Hazrati; Mehdi Elahi; Francesco Ricci 001 (ImpactRS@RecSys, 2019)

Entity representation for pairwise collaborative ranking using restricted Boltzmann machine. - Naieme Hazrati; Bita Shams; Saman Haratizadeh (Expert Syst. Appl., 2019)

Simulating the Impact of Recommender Systems on the Evolution of Collective Users' Choices. - Naieme Hazrati; Mehdi Elahi; Francesco Ricci 001 (HT, 2020)

Recommender systems effect on user' choice behaviour. - Naieme Hazrati (IUI Companion, 2020)

Impact of Recommender Systems on the Dynamics of Users' Choices. - Naieme Hazrati (AAMAS, 2021)

Quality and Diversity of Recommender Systems Users' Choices: a Simulation Perspective. - Naieme Hazrati; Francesco Ricci 001 (IIR, 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)

The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality. - Naieme Hazrati; Francesco Ricci 001 (BIAS, 2022)

Choice Models for Simulating the Consumption of Recommendations. - Naieme Hazrati; Francesco Ricci 001 (IIR, 2022)

Learning Choice Models for Simulating Users' Interactions with Recommender Systems. - Naieme Hazrati; Francesco Ricci 001 (Perspectives@RecSys, 2022)

Simulating Users' Interactions with Recommender Systems. - Naieme Hazrati; Francesco Ricci 001 (UMAP (Adjunct Publication), 2022)

Recommender systems effect on the evolution of users' choices distribution. - Naieme Hazrati; Francesco Ricci 001 (Inf. Process. Manag., 2022)

Choice models and recommender systems effects on users' choices. - Naieme Hazrati; Francesco Ricci 001 (User Model. User Adapt. Interact., 2024)