most citedUnderstanding Echo Chambers in E-commerce Recommender Systems

122 citations · 140 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020★ 17 cited

Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans

Vahid Azizi, Muhammad Usman, Honglu Zhou +2

Floorplans are commonly used to represent the layout of buildings. In computer aided-design (CAD) floorplans are usually represented in the form of hierarchical graph structures. R…

cs.SI2020

GitEvolve: Predicting the Evolution of GitHub Repositories

Honglu Zhou, Hareesh Ravi, Carlos M. Muniz +4

Software development is becoming increasingly open and collaborative with the advent of platforms such as GitHub. Given its crucial role, there is a need to better understand and m…

cs.IR2020★ 122 cited

Understanding Echo Chambers in E-commerce Recommender Systems

Yingqiang Ge, Shuya Zhao, Honglu Zhou +4

Personalized recommendation benefits users in accessing contents of interests effectively. Current research on recommender systems mostly focuses on matching users with proper item…

cs.AI2019★ 1 cited

Deep Crowd-Flow Prediction in Built Environments

Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou +3

Predicting the behavior of crowds in complex environments is a key requirement in a multitude of application areas, including crowd and disaster management, architectural design, a…

cs.MA2019

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation

Gang Qiao, Honglu Zhou, Mubbasir Kapadia +2

Crowd simulation, the study of the movement of multiple agents in complex environments, presents a unique application domain for machine learning. One challenge in crowd simulation…