reczoo/Frappe_x1
Frappe_x1 Dataset description: The Frappe dataset contains a context-aware app usage log, which comprises 96203 entries by 957 users for 4082 apps used in various contexts. It has 10 feature fields including user_id, item_id, daytime, weekday, isweekend, homework, cost, weather, country, city. The target value indicates whether the user has used the app under the context. Following the AFN work, we randomly split the data into 7:2:1 as the training set, validation set, and test… See the full description on the dataset page: https://huggingface.co/datasets/reczoo/Frappe_x1.
Frappe_x1
- Dataset description:
The Frappe dataset contains a context-aware app usage log, which comprises 96203 entries by 957 users for 4082 apps used in various contexts. It has 10 feature fields including userid, itemid, daytime, weekday, isweekend, homework, cost, weather, country, city. The target value indicates whether the user has used the app under the context. Following the AFN work, we randomly split the data into 7:2:1 as the training set, validation set, and test set, respectively.
The dataset statistics are summarized as follows:
- Source: https://www.baltrunas.info/context-aware
- Download: https://huggingface.co/datasets/reczoo/Frappe_x1/tree/main
- Repository: https://github.com/reczoo/Datasets
- Used by papers:
- Weiyu Cheng, Yanyan Shen, Linpeng Huang. Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. In AAAI 2020.
- Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong. FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. In AAAI 2023.
- Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang. FINAL: Factorized Interaction Layer for CTR Prediction. In SIGIR 2023.
- Check the md5sum for data integrity:
$ md5sum train.csv valid.csv test.csv
ba7306e6c4fc19dd2cd84f2f0596d158 train.csv
88d51bf2173505436d3a8f78f2a59da8 valid.csv
3470f6d32713dc5f7715f198ca7c612a test.csv