Fast Online Learning to Recommend a Diverse Set from Big Data

Mahmuda Rahman, Jae C. Oh. Fast Online Learning to Recommend a Diverse Set from Big Data. In Moonis Ali, Young Sig Kwon, Chang-Hwan Lee, Juntae Kim, Yongdai Kim, editors, Current Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings. Volume 9101 of Lecture Notes in Computer Science, pages 361-370, Springer, 2015. [doi]

@inproceedings{RahmanO15,
  title = {Fast Online Learning to Recommend a Diverse Set from Big Data},
  author = {Mahmuda Rahman and Jae C. Oh},
  year = {2015},
  doi = {10.1007/978-3-319-19066-2_35},
  url = {http://dx.doi.org/10.1007/978-3-319-19066-2_35},
  researchr = {https://researchr.org/publication/RahmanO15},
  cites = {0},
  citedby = {0},
  pages = {361-370},
  booktitle = {Current Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings},
  editor = {Moonis Ali and Young Sig Kwon and Chang-Hwan Lee and Juntae Kim and Yongdai Kim},
  volume = {9101},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-19065-5},
}