Comments (12)
@guoday 多谢多谢
使用训练集的所有数据作为种子人群
from tencent2020_rank1st.
弱问下 种子人群 的概念?
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弱问下 种子人群 的概念?
种子人群就是用来统计广告的性别年龄分布,然后赋值给另一个人群的。比如测试集就不能作为种子人群,因为没有性别年龄信息
from tencent2020_rank1st.
感谢回复,
直接赋值给另一人群,不是相当于训练和预测阶段这个特征一样吗?没有泛化的感觉?
from tencent2020_rank1st.
感谢回复,
直接赋值给另一人群,不是相当于训练和预测阶段这个特征一样吗?没有泛化的感觉?
不一样,训练的时候分五份,1234→5,1235→4,1245→3,1345→2,2345→1,因此只有80%的训练集统计,给另外的20%。预测的时候取100%的训练集给测试集
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这个做法提升多少?感谢!
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这个做法提升多少?感谢!
提升特别大,大概4个千分点,也是获胜的关键之一。你可以看我们ppt上分情况,有提到这个fusion layer
from tencent2020_rank1st.
模型本身居然捕获不到这些分布信息
from tencent2020_rank1st.
模型本身居然捕获不到这些分布信息
主要广告比较稀疏,通过统计的方法会更好一些。如果广告特别稠密,比如只有1万个id,那么这方法就没啥用了
from tencent2020_rank1st.
哦哦,刚想问其他分类任务是否能这样把label分布加进去
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想问下,这个和target encoding有啥区别?
from tencent2020_rank1st.
想问下,这个和target encoding有啥区别?
没区别
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Related Issues (17)
- 关于最后的结果 HOT 1
- from transformers.modeling_bert import BertLayerNorm HOT 1
- vocab_dim_v1 HOT 3
- 请问python的版本 HOT 2
- 预训练词向量频次过滤问题 HOT 3
- 请问模型config中的vocab_size=5表示什么意思? HOT 2
- 请问在执行run.py出现找不到文件怎么处理? HOT 3
- 尊敬的作者,请问提供的bert-small是否经过预训练? HOT 1
- 不再尝试,已关闭 HOT 4
- Word2Vector和BERT权重必须一致是什么意思 HOT 2
- package的版本 HOT 1
- 有关模型细节的几个疑问 HOT 1
- 有没有搞个基础环境的docker的同学 分享一下 HOT 1
- 弱问下,PPT图中的 连续特征 是什么? HOT 1
- 弱问下,PPT图中的 用户点击序列 具体? HOT 1
- 请问其他属性id是如何融入广告id的? HOT 4
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