On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation.
Wenzhuo Yang|Jia Li|Chenxi Li|Latrice Barnett|Markus Anderle|Simo Arajärvi|Harshavardhan Utharavalli|Caiming Xiong|Steven C. H. Hoi
| Anthology ID: | DBLP:conf/cikm/YangLLBAAUXH21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4302-4311 |
| URL: | https://doi.org/10.1145/3459637.3481940 |
| DOI: | https://doi.org/10.1145/3459637.3481940 |
| DBLP: | conf/cikm/YangLLBAAUXH21 |
| BibTeX: |
@inproceedings{yang-2021-diversity,
author = {Wenzhuo Yang and
Jia Li and
Chenxi Li and
Latrice Barnett and
Markus Anderle and
Simo Araj\"{a}rvi and
Harshavardhan Utharavalli and
Caiming Xiong and
Steven C. H. Hoi},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {4302--4311},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3481940},
doi = {https://doi.org/10.1145/3459637.3481940}
}