5 citations · 10 across the 5 of their papers we have counts for
5 papers · 1 filter
Improvements on Recommender System based on Mathematical Principles
Fu Chen, Junkang Zou, Lingfeng Zhou +2
In this article, we will research the Recommender System's implementation about how it works and the algorithms used. We will explain the Recommender System's algorithms based on m…
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…
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…
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…
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…