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

5 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

OpAgent: Operator Agent for Web Navigation

Yuyu Guo, Wenjie Yang, Siyuan Yang +12

To fulfill user instructions, autonomous web agents must contend with the inherent complexity and volatile nature of real-world websites. Conventional paradigms predominantly rely…

cs.IR2020★ 3 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.IR2020★ 2 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.IR2020★ 5 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…