Book Crossing 推荐系统数据

提供者:杜成玉
下载地址:http://www2.informatik.uni-freiburg.de/~cziegler/BX/

概述

数据来源:https://blog.csdn.net/u013749540/article/details/51800988

这个数据集是网上的Book-Crossing图书社区的278858个用户对271379本书进行的评分,包括显式和隐式的评分。这些用户的年龄等人口统计学属性(demographic feature)都以匿名的形式保存并供分析。这个数据集是由Cai-Nicolas Ziegler使用爬虫程序在2004年从Book-Crossing图书社区上采集的。

相关论文

1.Ziegler C N, Freiburg D. Book-crossing dataset[J]. 2004-06-01)[014-06-201. http://www2. informatik, uni-freiburg, de/cziegler/BX, 2014.
2.Zhang Y, Cao B, Yeung D Y. Multi-domain collaborative filtering[J]. arXiv preprint arXiv:1203.3535, 2012.
3.Rafter R, O’mahony M P, Hurley N J, et al. What have the neighbours ever done for us? a collaborative filtering perspective[C]//International Conference on User Modeling, Adaptation, and Personalization. Springer, Berlin, Heidelberg, 2009: 355-360.
4.Harper F M, Konstan J A. The movielens datasets: History and context[J]. ACM Transactions on Interactive Intelligent Systems (TiiS), 2016, 5(4): 19.
5.Gao S, Luo H, Chen D, et al. Cross-domain recommendation via cluster-level latent factor model[C]//Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Berlin, Heidelberg, 2013: 161-176.