Exploiting Users' Rating Behaviour to Enhance the Robustness of Social Recommendation

Zizhu Zhang, Weiliang Zhao, Jian Yang 0001, Surya Nepal, Cécile Paris, Bing Li. Exploiting Users' Rating Behaviour to Enhance the Robustness of Social Recommendation. In Athman Bouguettaya, Yunjun Gao, Andrey Klimenko, Lu Chen, Xiangliang Zhang, Fedor Dzerzhinskiy, Weijia Jia, Stanislav V. Klimenko, Qing Li, editors, Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part II. Volume 10570 of Lecture Notes in Computer Science, pages 467-475, Springer, 2017. [doi]

@inproceedings{ZhangZYNPL17,
  title = {Exploiting Users' Rating Behaviour to Enhance the Robustness of Social Recommendation},
  author = {Zizhu Zhang and Weiliang Zhao and Jian Yang 0001 and Surya Nepal and Cécile Paris and Bing Li},
  year = {2017},
  doi = {10.1007/978-3-319-68786-5_37},
  url = {https://doi.org/10.1007/978-3-319-68786-5_37},
  researchr = {https://researchr.org/publication/ZhangZYNPL17},
  cites = {0},
  citedby = {0},
  pages = {467-475},
  booktitle = {Web Information Systems Engineering - WISE 2017 - 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part II},
  editor = {Athman Bouguettaya and Yunjun Gao and Andrey Klimenko and Lu Chen and Xiangliang Zhang and Fedor Dzerzhinskiy and Weijia Jia and Stanislav V. Klimenko and Qing Li},
  volume = {10570},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-68786-5},
}