Comments (2)
Re-bin
commented on July 20, 2024
嗨 👋！
感谢您对SSLRec的认可和关注！以下是关于social recommendation中的数据format的介绍：
trn/tst_mat.pkl: 训练集和测试集，是维度为[num_user, num_item]的scipy稀疏矩阵（coo_matrix）。矩阵为01矩阵，entry为1的entry标注一次交互。trust_mat.pkl: 社交关系，维度为[num_user, num_user]的稀疏矩阵，非零的entry标注了两个用户存在社交关系。category.pkl：商品类别，维度为[num_item, num_category]的稀疏矩阵，标记了商品所属的类别（可能多个）。trn_time.pkl：维度为[num_user, num_item]的稀疏矩阵，标注了训练集中交互的时间戳（矩阵entry的value）。
希望上述回答可帮到您 :)
Best regards,
Xubin
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usernameAI
commented on July 20, 2024
非常感谢贵团队的回复~
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