LKT-FM: A Novel Rating Pattern Transfer Model for Improving Non-overlapping Cross-Domain Collaborative Filtering

Yizhou Zang, Xiaohua Hu. LKT-FM: A Novel Rating Pattern Transfer Model for Improving Non-overlapping Cross-Domain Collaborative Filtering. In Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. Volume 10535 of Lecture Notes in Computer Science, pages 641-656, Springer, 2017. [doi]

@inproceedings{ZangH17,
  title = {LKT-FM: A Novel Rating Pattern Transfer Model for Improving Non-overlapping Cross-Domain Collaborative Filtering},
  author = {Yizhou Zang and Xiaohua Hu},
  year = {2017},
  doi = {10.1007/978-3-319-71246-8_39},
  url = {https://doi.org/10.1007/978-3-319-71246-8_39},
  researchr = {https://researchr.org/publication/ZangH17},
  cites = {0},
  citedby = {0},
  pages = {641-656},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II},
  editor = {Michelangelo Ceci and Jaakko Hollmén and Ljupco Todorovski and Celine Vens and Saso Dzeroski},
  volume = {10535},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-71246-8},
}