Industrial Recommender System
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| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Springer Nature,
2024.
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| Subjects: | |
| Online Access: | Access eBook |
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| LEADER | 00000nam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | 18180 | ||
| 005 | 20261004181433.0 | ||
| 008 | 261004s2024 o 000 eng | ||
| 020 | |a 978-981-97-2581-6 | ||
| 100 | 1 | |a Hu, Lantao |9 40015 | |
| 700 | 1 | |a Li, Yueting |9 40016 | |
| 700 | 1 | |a Cui, Guangfan |9 40017 | |
| 700 | 1 | |a Yi, Kexin |9 40018 | |
| 245 | 0 | 0 | |a Industrial Recommender System |
| 260 | |b Springer Nature, |c 2024. | ||
| 300 | |a 1 online resource | ||
| 650 | 4 | |a Computer Science |9 69352 | |
| 538 | |a Mode of access: World Wide Web. | ||
| 856 | 4 | 0 | |u https://library.mist.ac.bd/ebooks/4851/go?src=vufind |z Access eBook |
| 942 | |c EBOOK | ||
| 999 | |c 18180 |d 18180 | ||