Recommending Datasets for Scientific Problem Descriptions.

Michael Färber|Ann-Kathrin Leisinger


Anthology ID:DBLP:conf/cikm/0001L21
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:3014-3018
URL:https://doi.org/10.1145/3459637.3482166
DOI:https://doi.org/10.1145/3459637.3482166
DBLP:conf/cikm/0001L21
BibTeX:
@inproceedings{farber-2021-recommending, author = {Michael F\"{a}rber and Ann-Kathrin Leisinger}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{Recommending Datasets for Scientific Problem Descriptions}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {3014--3018}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482166}, doi = {https://doi.org/10.1145/3459637.3482166} }