A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness

X Zhang, H Liu, X Chen, J Zhong, D Wang - Information Sciences, 2020 - Elsevier
With the fast development of online E-commerce Websites and mobile applications, users'
auxiliary information as well as products' textual information can be easily collected to form a …

A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness

X Zhang, H Liu, X Chen, J Zhong, D Wang - 2020 - dl.acm.org
With the fast development of online E-commerce Websites and mobile applications, users'
auxiliary information as well as products' textual information can be easily collected to form a …

[PDF][PDF] A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness

X Zhang, H Liu, X Chen, J Zhong, D Wang - Information Sciences, 2020 - drive.google.com
abstract With the fast development of online E-commerce Websites and mobile applications,
users' auxiliary information as well as products' textual information can be easily collected to …

A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness

X Zhang, H Liu, XY Chen, J Zhong, D Wang - 2020 - repository.um.edu.mo
With the fast development of online E-commerce Websites and mobile applications, users'
auxiliary information as well as products' textual information can be easily collected to form a …

A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness

X Zhang, H Liu, X Chen, J Zhong, D Wang - 2020 - repository.um.edu.mo
With the fast development of online E-commerce Websites and mobile applications, users'
auxiliary information as well as products' textual information can be easily collected to form a …