Related references
Note: Only part of the references are listed.Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation
Javier Parapar et al.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2020)
Assessing ranking metrics in top-N recommendation
Daniel Valcarce et al.
INFORMATION RETRIEVAL JOURNAL (2020)
How good your recommender system is? A survey on evaluations in recommendation
Thiago Silveira et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)
Decomposing Fit Semantics for Product Size Recommendation in Metric Spaces
Rishabh Misra et al.
12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS) (2018)
Latent Cross: Making Use of Context in Recurrent Recommender Systems
Alex Beutel et al.
WSDM'18: PROCEEDINGS OF THE ELEVENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (2018)
Statistical biases in Information Retrieval metrics for recommender systems
Alejandro Bellogin et al.
INFORMATION RETRIEVAL JOURNAL (2017)
Statistical biases in Information Retrieval metrics for recommender systems
Alejandro Bellogin et al.
INFORMATION RETRIEVAL JOURNAL (2017)
Collaborative Metric Learning
Cheng-Kang Hsieh et al.
PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17) (2017)
Neural Collaborative Filtering
Xiangnan He et al.
PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17) (2017)
Estimating average precision when judgments are incomplete
Emine Yilmaz et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2008)
Share Paper
