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Can I read Improving Cold-Start Recommendation via Multi-prior Meta-learning on EtoBox?
Improving Cold-Start Recommendation via Multi-prior Meta-learning by Zhengyu Chen; Donglin Wang; Shiqian Yin is a computer science book available to read on EtoBox.
What is Improving Cold-Start Recommendation via Multi-prior Meta-learning about?
This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic.<p>The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions.</p> <p>The ac
Who reads Improving Cold-Start Recommendation via Multi-prior Meta-learning?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Zhengyu Chen; Donglin Wang; Shiqian Yin
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2021
- Language
- EN
- ISBN
- 9783030721121
- Category
- computer science
- Subjects
- Science, Business, Mathematics
- Updated
- 2026-03-25
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Browse all works by Zhengyu Chen; Donglin Wang; Shiqian Yin
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