Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media

Seiji Maekawa, Santi Saeyor, Takeshi Sakaki, Makoto Onizuka. Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media. In Jing He 0004, Rainer Unland, Eugene Santos Jr., Xiaohui Tao, Hemant Purohit, Willem-Jan van den Heuvel, John Yearwood, Jie Cao 0008, editors, WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14 - 17, 2021. pages 120-127, ACM, 2021. [doi]

@inproceedings{MaekawaSSO21,
  title = {Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media},
  author = {Seiji Maekawa and Santi Saeyor and Takeshi Sakaki and Makoto Onizuka},
  year = {2021},
  doi = {10.1145/3486622.3493954},
  url = {https://doi.org/10.1145/3486622.3493954},
  researchr = {https://researchr.org/publication/MaekawaSSO21},
  cites = {0},
  citedby = {0},
  pages = {120-127},
  booktitle = {WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14 - 17, 2021},
  editor = {Jing He 0004 and Rainer Unland and Eugene Santos Jr. and Xiaohui Tao and Hemant Purohit and Willem-Jan van den Heuvel and John Yearwood and Jie Cao 0008},
  publisher = {ACM},
  isbn = {978-1-4503-9115-3},
}