most citedA Multimodal Late Fusion Model for E-Commerce Product Classification

12 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV202012 cited

A Multimodal Late Fusion Model for E-Commerce Product Classification

Ye Bi, Shuo Wang, Zhongrui Fan

The cataloging of product listings is a fundamental problem for most e-commerce platforms. Despite promising results obtained by unimodal-based methods, it can be expected that the…

cs.IR20201 cited

A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter

Ye Bi, Shuo Wang, Zhongrui Fan

The animated Graphical Interchange Format (GIF) images have been widely used on social media as an intuitive way of expression emotion. Given their expressiveness, GIFs offer a mor…

cs.IR20203 cited

DREAM: A Dynamic Relational-Aware Model for Social Recommendation

Liqiang Song, Ye Bi, Mengqiu Yao +3

Social connections play a vital role in improving the performance of recommendation systems (RS). However, incorporating social information into RS is challenging. Most existing mo…

cs.IR20202 cited

UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks

Bo Huang, Ye Bi, Zhenyu Wu +2

The problem of session-based recommendation aims to predict user next actions based on session histories. Previous methods models session histories into sequences and estimate user…

cs.IR20205 cited

A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users

Ye Bi, Liqiang Song, Mengqiu Yao +3

Internet is changing the world, adapting to the trend of internet sales will bring revenue to traditional insurance companies. Online insurance is still in its early stages of deve…

cs.IR2020

DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain

Ye Bi, Liqiang Song, Mengqiu Yao +3

Internet insurance products are apparently different from traditional e-commerce goods for their complexity, low purchasing frequency, etc.So, cold start problem is even worse. In…