Title
CASR: A Collaborative Attention Model for Session-based Recommendation
Abstract
Today the technological society is developing quickly, recommendation system is becoming an increasingly important technology. Session-based recommendation systems have become a hot research topic due to their ability to provide recommendations for anonymous users. Traditional session-based recommendation systems have some limitations. They either lack the ability to learn complex dependencies or ...
Year
DOI
Venue
2021
10.1109/COMPSAC51774.2021.00048
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)
Keywords
DocType
ISSN
Measurement,Recurrent neural networks,Conferences,Collaboration,Logic gates,Search problems,Routing
Conference
0730-3157
ISBN
Citations 
PageRank 
978-1-6654-2463-9
1
0.37
References 
Authors
0
4
Name
Order
Citations
PageRank
Peiyao Han110.37
Nan Wang29327.47
Kun Li332.75
Xiaokun Li4554.30