CD-CARS: Cross-domain context-aware recommender systems
作者：
Highlights：
• Formalization of the CD-CARS problem from two relevant research fields: CDRS and CARS.
• The usefulness of the CD-CARS algorithms was demonstrated by a number of experiments.
• Definition of real datasets for evaluating CD-CARS, once they are scarce in literature.
• Comparison with traditional cross-domain collaborative filtering techniques.
• Proposal of a systematic approach rather than ad-hoc ones available in the literature.
摘要
•Formalization of the CD-CARS problem from two relevant research fields: CDRS and CARS.•The usefulness of the CD-CARS algorithms was demonstrated by a number of experiments.•Definition of real datasets for evaluating CD-CARS, once they are scarce in literature.•Comparison with traditional cross-domain collaborative filtering techniques.•Proposal of a systematic approach rather than ad-hoc ones available in the literature.
论文关键词：Cross-domain recommendation,Context-aware recommendation,Collaborative filtering recommendation,Cross-domain context-aware recommendation
论文评审过程：Received 17 October 2018, Revised 18 May 2019, Accepted 9 June 2019, Available online 10 June 2019, Version of Record 21 June 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.020
