145 citations · 184 across the 7 of their papers we have counts for
7 papers
Representation Curriculum: Stagewise Training for Robust Ranking and Allocation
Ehsan Ebrahimzadeh, Sina Baharlouei, Abraham Bagherjeiran
Ranking in digital marketplaces is a dynamic exposure-allocation mechanism: displayed items shape discovery trajectories and success events logged by the platform to update future…
An Exterior Method for Nonnegative Matrix Factorization
Qiujing Lu, Tonmoy Monsoor, Ehsan Ebrahimzadeh +2
Nonnegative matrix factorization (NMF) seeks a low-rank approximation with nonnegative factors and is commonly solved using interior methods that enforce feasibili…
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data
Ehsan Ebrahimzadeh, Nikhil Monga, Hang Gao +2
We develop a decision making framework to cast the problem of learning a ranking policy for search or recommendation engines in a two-sided e-commerce marketplace as an expected re…
Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews
Pavan Holur, Shadi Shahsavari, Ehsan Ebrahimzadeh +2
Readers' responses to literature have received scant attention in computational literary studies. The rise of social media offers an opportunity to capture a segment of these respo…
An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web
Timothy R. Tangherlini, Shadi Shahsavari, Behnam Shahbazi +2
Although a great deal of attention has been paid to how conspiracy theories circulate on social media and their factual counterpart conspiracies, there has been little computationa…
An Automated Pipeline for Character and Relationship Extraction from Readers' Literary Book Reviews on Goodreads.com
Shadi Shahsavari, Ehsan Ebrahimzadeh, Behnam Shahbazi +5
Reader reviews of literary fiction on social media, especially those in persistent, dedicated forums, create and are in turn driven by underlying narrative frameworks. In their com…