A many objective commercial recommendation algorithm via Game-Based core node extraction
The development of the recommendation system (RS) has been focused on improving the accuracy of algorithms. As the number of new users grows, RS suffers from the cold start problem, data sparsity and long-tail problem. In this paper, we proposed a many objective commercial recommendation algorithm t...
Main Authors: | Yifei Sun, Yifei Cao, Shi Cheng, Jie Yang, Wenya Shi, Ao Zhang, Jiale Ju |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
|
Series: | Egyptian Informatics Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110866523000750 |
Similar Items
-
Weighted Similarity and Core-User-Core-Item Based Recommendations
by: Zhuangzhuang Zhang, et al.
Published: (2022-04-01) -
Fast Object Tracking on a Many-Core Neural Network Chip
by: Lei Deng, et al.
Published: (2018-11-01) -
Communication Coroutines For Parallel Program Using DW26010 Many Core Processor
by: Ajit Singh
Published: (2021-02-01) -
PkMin: Peak Power Minimization for Multi-Threaded Many-Core Applications
by: Arka Maity, et al.
Published: (2020-09-01) -
A Comprehensive Framework for Systemic Security Management in NoC-Based Many-Cores
by: Rafael Follmann Faccenda, et al.
Published: (2023-01-01)