BPRH : bayesian personalized ranking for heterogeneous implicit feedback

BPRH : bayesian personalized ranking for heterogeneous implicit feedback

Personalized recommendation for online service systems aims to predict potential demand by analysing user preference. User preference can be inferred from heterogeneous implicit feedback (i.e. various user actions) especially when explicit feedback (i.e. ratings) is not available. However, most meth...

Full description

Saved in:
Bibliographic Details
Main Authors: Qiu, Huihuai, Liu, Yun, Guo, Guibing, Sun, Zhu, Zhang, Jie, Nguyen, Hai Thanh
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2019
Subjects:
Recommendation
Heterogeneous Implicit Feedback
Engineering::Computer science and engineering
Online Access:https://hdl.handle.net/10356/85173
http://hdl.handle.net/10220/49178
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/85173
http://hdl.handle.net/10220/49178

Similar Items