no code implementations • 7 Oct 2023 • S. M. F. Sani, Seyed Abbas Hosseini, Hamid R. Rabiee
Recent studies have attempted to mitigate this bias by collecting small amounts of unbiased data.
no code implementations • 15 Sep 2019 • Ali Khodadadi, Seyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, Hamid R. Rabiee
In this approach which is more realistic in real world online services, at each time-step the model predicts the user return time instead of predicting a churn label.
1 code implementation • 4 Mar 2017 • Seyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
Poisson factorization is a probabilistic model of users and items for recommendation systems, where the so-called implicit consumer data is modeled by a factorized Poisson distribution.
no code implementations • 7 Feb 2017 • Ali Khodadadi, Seyed Abbas Hosseini, Erfan Tavakoli, Hamid R. Rabiee
However, typical point process based models often considered the impact of peer influence and content on the user participation and neglected other factors.
no code implementations • 2 Oct 2016 • Seyed Abbas Hosseini, Ali Khodadadi, Soheil Arabzade, Hamid R. Rabiee
These capabilities allow the proposed model to adapt its temporal and topical complexity according to the complexity of data, which makes it a suitable candidate for real world scenarios.