Machine Learning and Museum Collections: A Data Conundrum-Reference-Cited by-同舟云学术

Machine Learning and Museum Collections: A Data Conundrum

Published:2021 Issue: Volume: Page:19-31
ISSN:1865-0929
Container-title:Emerging Technologies and the Digital Transformation of Museums and Heritage Sites
language:
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Author:

Noehrer Lukas^ORCID,Carlton Jonathan^ORCID,Jay Caroline^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-83647-4_2

Reference52 articles.

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3. Gomez-Uribe, C.A., Hunt, N.: The Netflix recommender system: algorithms, business value, and innovation. ACM Trans. Manage. Inf. Syst. 6(4), 1–19 (2016). https://doi.org/10.1145/2843948

4. Jacobson, K., Murali, V., Newett, E., Whitman, B., Yon, R.: Music personalization at spotify. In: Proceedings of the 10th ACM Conference on Recommender Systems, Boston, Massachusetts USA, p. 373, September 2016,. https://doi.org/10.1145/2959100.2959120

5. Rastogi, R.: Machine learning @ Amazon. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, Ann Arbor MI USA, pp. 1337–1338, June 2018. https://doi.org/10.1145/3209978.3210211

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