HeteGraph: graph learning in recommender systems via graph convolutional networks
- 8 January 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Neural Computing & Applications
- Vol. 35 (18), 13047-13063
- https://doi.org/10.1007/s00521-020-05667-z
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- The Netflix Recommender SystemACM Transactions on Management Information Systems, 2015
- GraRepPublished by Association for Computing Machinery (ACM) ,2015
- DeepWalkPublished by Association for Computing Machinery (ACM) ,2014
- An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender SystemsIEEE Transactions on Industrial Informatics, 2014
- Glove: Global Vectors for Word RepresentationPublished by Association for Computational Linguistics (ACL) ,2014
- Slope One Predictors for Online Rating-Based Collaborative FilteringPublished by Society for Industrial & Applied Mathematics (SIAM) ,2005
- Improving recommendation lists through topic diversificationPublished by Association for Computing Machinery (ACM) ,2005
- Amazon.com recommendations: item-to-item collaborative filteringIEEE Internet Computing, 2003
- Item-based collaborative filtering recommendation algorithmsPublished by Association for Computing Machinery (ACM) ,2001
- Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesisPsychometrika, 1964