Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems

Shunpan Liang, Lin Ma, Fuyong Yuan. Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems. In Federica Cena, Michel Desmarais, Darina Dicheva, editors, Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada, July 13-16, 2016. Volume 1618 of CEUR Workshop Proceedings, CEUR-WS.org, 2016. [doi]

@inproceedings{LiangMY16,
  title = {Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems},
  author = {Shunpan Liang and Lin Ma and Fuyong Yuan},
  year = {2016},
  url = {http://ceur-ws.org/Vol-1618/IFUP_paper_6.pdf},
  researchr = {https://researchr.org/publication/LiangMY16},
  cites = {0},
  citedby = {0},
  booktitle = {Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada, July 13-16, 2016},
  editor = {Federica Cena and Michel Desmarais and Darina Dicheva},
  volume = {1618},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}