Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaborative Recommendation - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Zhenhua Tan, Liangliang He, Hong Li, Xingwei Wang. Rating Personalization Improves Accuracy: A Proportion-Based Baseline Estimate Model for Collaborative Recommendation. In Shangguang Wang, Ao Zhou, editors, Collaborate Computing: Networking, Applications and Worksharing - 12th International Conference, CollaborateCom 2016, Beijing, China, November 10-11, 2016, Proceedings. Volume 201 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 104-114, Springer, 2016. [doi]

This author has not been identified. Look up 'Zhenhua Tan' in GoogleThis author has not been identified. Look up 'Liangliang He' in GoogleThis author has not been identified. Look up 'Hong Li' in GoogleThis author has not been identified. Look up 'Xingwei Wang' in Google

runs on WebDSL