The design of library resource personalized recommendation system based on deep belief network
Publication type: Journal Article
Publication date: 2023-01-01
scimago Q4
SJR: 0.136
CiteScore: 0.5
Impact factor: —
ISSN: 17510589, 17510597
Computer Science Applications
Control and Systems Engineering
Information Systems and Management
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Fu M. The design of library resource personalized recommendation system based on deep belief network // International Journal of Applied Systemic Studies. 2023. Vol. 1. No. 1. p. 1.
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Fu M. The design of library resource personalized recommendation system based on deep belief network // International Journal of Applied Systemic Studies. 2023. Vol. 1. No. 1. p. 1.
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RIS
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TY - JOUR
DO - 10.1504/ijass.2023.10052277
UR - https://doi.org/10.1504/ijass.2023.10052277
TI - The design of library resource personalized recommendation system based on deep belief network
T2 - International Journal of Applied Systemic Studies
AU - Fu, Min
PY - 2023
DA - 2023/01/01
PB - Inderscience Publishers
SP - 1
IS - 1
VL - 1
SN - 1751-0589
SN - 1751-0597
ER -
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BibTex (up to 50 authors)
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@article{2023_Fu,
author = {Min Fu},
title = {The design of library resource personalized recommendation system based on deep belief network},
journal = {International Journal of Applied Systemic Studies},
year = {2023},
volume = {1},
publisher = {Inderscience Publishers},
month = {jan},
url = {https://doi.org/10.1504/ijass.2023.10052277},
number = {1},
pages = {1},
doi = {10.1504/ijass.2023.10052277}
}
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MLA
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Fu, Min. “The design of library resource personalized recommendation system based on deep belief network.” International Journal of Applied Systemic Studies, vol. 1, no. 1, Jan. 2023, p. 1. https://doi.org/10.1504/ijass.2023.10052277.