Recommendation Algorithm Based on Heterogeneous Information Network and Attention Mechanism
Heterogeneous information networks (HINs) contain a rich network structure and semantic information, which makes them commonly used in recommendation systems. However, most of the existing HIN-based recommendation systems rely on meta-paths for information extraction, lack meta-path information supp...
Main Authors: | Li Li, Xiangquan Gui, Rui Lv |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/1/353 |
Similar Items
-
Recommendation Algorithm Based on Heterogeneous Information Network Embedding and Attention Neural Network
by: ZHAO Jin-long, ZHAO Zhong-ying
Published: (2021-08-01) -
Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks
by: Xianglin Zuo, et al.
Published: (2022-11-01) -
Personalized Service Recommendation With Mashup Group Preference in Heterogeneous Information Network
by: Fenfang Xie, et al.
Published: (2019-01-01) -
Attention-aware Multi-channel Graph Convolutional Rating Prediction Model for Heterogeneous Information Networks
by: ZHOU Mingqiang, DAI Kailang, WU Quanwang, ZHU Qingsheng
Published: (2023-03-01) -
REHREC: Review Effected Heterogeneous Information Network Recommendation System
by: Farhad Khalilzadeh, et al.
Published: (2024-01-01)