Improving Collaborative Filtering's Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Dionisis Margaris, Dimitris Spiliotopoulos, Costas Vassilakis. Improving Collaborative Filtering's Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information. In Payam M. Barnaghi, Georg Gottlob, Yannis Manolopoulos, Theodoros Tzouramanis, Athena Vakali, editors, 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, Thessaloniki, Greece, October 14-17, 2019. pages 342-347, ACM, 2019. [doi]

This author has not been identified. Look up 'Dionisis Margaris' in GoogleThis author has not been identified. It may be one of the following persons:

Dimitris Spiliotopoulos

Look up 'Dimitris Spiliotopoulos' in GoogleThis author has not been identified. Look up 'Costas Vassilakis' in Google

runs on WebDSL