activity
20202022
most citedModeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search

27 citations · 56 across the 4 of their papers we have counts for

collaborators

6 papers

cs.HC2022

GesPlayer: Using Augmented Gestures to Empower Video Players

Xiang Li, Yuzheng Chen, Xiaohang Tang

In this paper, we introduce GesPlayer, a gesture-based empowered video player that explores how users can experience their hands as an interface through gestures. We provide three…

cs.IR202227 cited

Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search

Zhifang Fan, Dan Ou, Yulong Gu +7

Modeling user's historical feedback is essential for Click-Through Rate Prediction in personalized search and recommendation. Existing methods usually only model users' positive fe…

cs.IR202212 cited

Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems

Lianghao Xia, Chao Huang, Yong Xu +3

As the deep learning techniques have expanded to real-world recommendation tasks, many deep neural network based Collaborative Filtering (CF) models have been developed to project…

cs.HC202117 cited

vrCAPTCHA: Exploring CAPTCHA Designs in Virtual Reality

Xiang Li, Yuzheng Chen, Rakesh Patibanda +1

With the popularity of online access in virtual reality (VR) devices, it will become important to investigate exclusive and interactive CAPTCHA (Completely Automated Public Turing…

cs.HC2020

VirusBoxing: A HIIT-based VR boxing game

Wenge Xu, Hai-Ning Liang, Xiaoyue Ma +1

Physical activity or exercise can improve people's health and reduce their risk of developing several diseases; most importantly, regular activity can improve the quality of life.…

cs.HC2020

Exploration of Hands-free Text Entry Techniques For Virtual Reality

Xueshi Lu, Difeng Yu, Hai-Ning Liang +4

Text entry is a common activity in virtual reality (VR) systems. There is a limited number of available hands-free techniques, which allow users to carry out text entry when users'…