This compressed package is essential for KHDNN as it includes various components necessary for its functionality. Inside, you will find an Embedding, knowledge graphs, a user-item bipartite graph, and training records specifically tailored to the book-crossing dataset. These elements are crucial for KHDNN to operate effectively and provide accurate recommendations to users based on their preferences and interactions with books.

Dataset Files

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[1] zhang yihao, "KHDNN-book-crossing", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/wkww-8m49. Accessed: Jun. 14, 2024.
@data{wkww-8m49-23,
doi = {10.21227/wkww-8m49},
url = {http://dx.doi.org/10.21227/wkww-8m49},
author = {zhang yihao },
publisher = {IEEE Dataport},
title = {KHDNN-book-crossing},
year = {2023} }
TY - DATA
T1 - KHDNN-book-crossing
AU - zhang yihao
PY - 2023
PB - IEEE Dataport
UR - 10.21227/wkww-8m49
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zhang yihao. (2023). KHDNN-book-crossing. IEEE Dataport. http://dx.doi.org/10.21227/wkww-8m49
zhang yihao, 2023. KHDNN-book-crossing. Available at: http://dx.doi.org/10.21227/wkww-8m49.
zhang yihao. (2023). "KHDNN-book-crossing." Web.
1. zhang yihao. KHDNN-book-crossing [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/wkww-8m49
zhang yihao. "KHDNN-book-crossing." doi: 10.21227/wkww-8m49