A group recommendation model integrating time series features
Traditional group recommendation has such problems as ineffective predefined strategy, neglect of the interaction between users and projects, and failure to capture the migration of user preferences caused by the passage of time. In response to the above problems, a group recommendation model TAGR (...
Saved in:
| Main Authors: | ZHU Xinjuan, XIONG Yilun |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of XPU
2024-02-01
|
| Series: | Xi'an Gongcheng Daxue xuebao |
| Subjects: | |
| Online Access: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1440 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Group Fairness in Recommendation Systems: The Importance of Hierarchical Clustering in Identifying Latent Groups in MovieLens and Amazon Books
by: Rafael Vargas Mesquita dos Santos, et al.
Published: (2025-07-01) -
Charging pile recommendation method for idle electric taxis based on recurrent neural network
by: Jian JIA, et al.
Published: (2020-12-01) -
ANALYSIS OF RAINFALL IN INDONESIA USING A TIME SERIES-BASED CLUSTERING APPROACH
by: A'yunin Sofro, et al.
Published: (2024-05-01) -
Research on anomaly detection model for traffic time series data integrating multiple mechanisms
by: Peipei ZHANG, et al.
Published: (2025-06-01) -
Recommendation Model Based on Higher-Order Semantics and Node Attention in Heterogeneous Graph Neural Networks
by: Siyue Li, et al.
Published: (2025-04-01)