Datasets › KKBox
KKBox
The task is to predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered. If there are recurring listening event(s) triggered within a month after the user's very first observable listening event, its target is marked 1, and 0 otherwise in the training set. KKBox provides a training data set consists of information of the first observable listening event for each unique user-song pair within a specific time duration. Metadata of each unique user and song pair is also provided. The train and the test data are selected from users listening history in a given time period, and are split based on time. Note that only the labeled train set of the dataset is used for benchmarking.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Click-Through Rate Prediction | KKBox | FCN AUC 0.8557 | FCN: Fusing Exponential and Linear Cross Network for... | reczoo/FuxiCTR +1 | 6 | Compare |
Papers archive 2025-07-28
6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction | 2 | 1 | 18 Jul 2024 | not harvested |
| DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems | 12 | 1 | 19 Aug 2020 | ran 2 of 14 samples (12 unverified) |
| Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions | 1 | 1 | 1 Jan 2020 | not harvested |
| AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks | 19 | 1 | 29 Oct 2018 | ran 0 of 3 samples (3 unverified) |
| xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems | 19 | 1 | 14 Mar 2018 | ran 3 of 15 samples (12 unverified; 2 pointer-only for licence) |
| DeepFM: A Factorization-Machine based Neural Network for CTR Prediction | 23 | 1 | 13 Mar 2017 | ran 2 of 8 samples (6 unverified; 2 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- KKBox
1 variant name, as the archive lists them.
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