Hybrid ecommerce recommendation model incorporating product taxonomy and folksonomy
- 7 January 2021
- journal article
- research article
- Published by Elsevier BV in Knowledge-Based Systems
- Vol. 214, 106720
- https://doi.org/10.1016/j.knosys.2020.106720
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
This publication has 30 references indexed in Scilit:
- A hybrid user similarity model for collaborative filteringInformation Sciences, 2017
- User Preferences for Hybrid ExplanationsPublished by Association for Computing Machinery (ACM) ,2017
- Hybrid Recommender Systems based on Content Feature RelationshipIEEE Transactions on Industrial Informatics, 2016
- BiRank: Towards Ranking on Bipartite GraphsIEEE Transactions on Knowledge and Data Engineering, 2016
- Multirelational Social Recommendations via Multigraph RankingIEEE Transactions on Cybernetics, 2016
- Recommender system application developments: A surveyDecision Support Systems, 2015
- Collaborative Filtering beyond the User-Item MatrixACM Computing Surveys, 2014
- A trust-semantic fusion-based recommendation approach for e-business applicationsDecision Support Systems, 2012
- Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)Published by Association for Computing Machinery (ACM) ,2011
- On the convergence of the Markov chain simulation methodThe Annals of Statistics, 1996