Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation.
Anirban Chakraborty|Debasis Ganguly|Owen Conlan
| Anthology ID: | DBLP:conf/sigir/ChakrabortyGC20 |
|---|---|
| Volume: | Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020 |
| Year: | 2020 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1981-1984 |
| URL: | https://doi.org/10.1145/3397271.3401197 |
| DOI: | https://doi.org/10.1145/3397271.3401197 |
| DBLP: | conf/sigir/ChakrabortyGC20 |
| BibTeX: |
@inproceedings{chakraborty-2020-relevance,
author = {Anirban Chakraborty and
Debasis Ganguly and
Owen Conlan},
editor = {Jimmy Huang and
Yi Chang and
Xueqi Cheng and
Jaap Kamps and
Vanessa Murdock and
Ji-Rong Wen and
Yiqun Liu},
title = {{Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation}},
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}},
pages = {1981--1984},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3397271.3401197},
doi = {https://doi.org/10.1145/3397271.3401197}
}