1. Criteo 数据集
- criteo数据集用于广告点击率预估任务(标签:0/1);其中包含13个dense特征和26个sparse特征;
- 数据格式如下:第一列为label, 之后分别是13个dense特征(integer feature),26个sparse特征(categorical feature);每列之间使用tab进行分隔。
<label> <integer feature 1> ... <integer feature 13> <categorical feature 1> ... <categorical feature 26>
- criteo 数据集下载:https://www.kaggle.com/mrkmakr/criteo-dataset
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criteo 数据集效果排名:https://paperswithcode.com/sota/click-through-rate-prediction-on-criteo
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2. MovieLens 数据集
3. Census Income 数据集
- 目标是预测收入范围:>50K, <=50K;根据用户的年龄、受教育程度等。
- 官方网址:https://archive.ics.uci.edu/ml/datasets/census+income
Listing of attributes:
>50K, <=50K.
age: continuous.
workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.
fnlwgt: continuous.
education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool.
education-num: continuous.
marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.
occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.
relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.
race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black.
sex: Female, Male.
capital-gain: continuous.
capital-loss: continuous.
hours-per-week: continuous.
native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.
4. Avazu 数据集
- 广告点击率预估数据集,kaggle比赛官方网站:https://www.kaggle.com/c/avazu-ctr-prediction/overview
- Avazu 数据集下载:https://www.kaggle.com/c/avazu-ctr-prediction/data
Avazu 数据集各个模型效果:https://paperswithcode.com/sota/click-through-rate-prediction-on-avazu
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