Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?

Xiaolu Xing, Chaofeng Sha, Junyu Niu. Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?. In Lei Chen 0002, Christian S. Jensen, Cyrus Shahabi, Xiaochun Yang, Xiang Lian, editors, Web and Big Data - First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II. Volume 10367 of Lecture Notes in Computer Science, pages 142-150, Springer, 2017. [doi]

@inproceedings{XingSN17,
  title = {Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?},
  author = {Xiaolu Xing and Chaofeng Sha and Junyu Niu},
  year = {2017},
  doi = {10.1007/978-3-319-63564-4_12},
  url = {https://doi.org/10.1007/978-3-319-63564-4_12},
  researchr = {https://researchr.org/publication/XingSN17},
  cites = {0},
  citedby = {0},
  pages = {142-150},
  booktitle = {Web and Big Data - First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part II},
  editor = {Lei Chen 0002 and Christian S. Jensen and Cyrus Shahabi and Xiaochun Yang and Xiang Lian},
  volume = {10367},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-63564-4},
}