Ranking with submodular functions on a budget

Guangyi Zhang, Nikolaj Tatti, Aristides Gionis

Open source

DOI
10.1007/s10618-022-00833-4
Published
2022-04-23
Container
Data Mining and Knowledge Discovery
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1007/s10618-022-00833-4,
  title = {Ranking with submodular functions on a budget},
  author = {Guangyi Zhang and Nikolaj Tatti and Aristides Gionis},
  year = {2022},
  journal = {Data Mining and Knowledge Discovery},
  doi = {10.1007/s10618-022-00833-4},
  url = {https://doi.org/10.1007/s10618-022-00833-4}
}

RIS

TY  - JOUR
TI  - Ranking with submodular functions on a budget
AU  - Guangyi Zhang
AU  - Nikolaj Tatti
AU  - Aristides Gionis
PY  - 2022
JO  - Data Mining and Knowledge Discovery
DO  - 10.1007/s10618-022-00833-4
UR  - https://doi.org/10.1007/s10618-022-00833-4
ER  - 

APA

Zhang, G., Tatti, N., & Gionis, A. (2022). Ranking with submodular functions on a budget. Data Mining and Knowledge Discovery. https://doi.org/10.1007/s10618-022-00833-4

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