Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation

Anirban Chakraborty, Debasis Ganguly, Owen Conlan. Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation. In Jimmy Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu, editors, Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. pages 1981-1984, ACM, 2020. [doi]

@inproceedings{ChakrabortyGC20,
  title = {Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation},
  author = {Anirban Chakraborty and Debasis Ganguly and Owen Conlan},
  year = {2020},
  doi = {10.1145/3397271.3401197},
  url = {https://doi.org/10.1145/3397271.3401197},
  researchr = {https://researchr.org/publication/ChakrabortyGC20},
  cites = {0},
  citedby = {0},
  pages = {1981-1984},
  booktitle = {Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020},
  editor = {Jimmy Huang and Yi Chang and Xueqi Cheng and Jaap Kamps and Vanessa Murdock and Ji-Rong Wen and Yiqun Liu},
  publisher = {ACM},
  isbn = {978-1-4503-8016-4},
}