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} }