Datasets › iPinYou
iPinYou (iPinYou Global RTB Bidding Algorithm Competition Dataset)
The iPinYou Global RTB(Real-Time Bidding) Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons. For each season, a training dataset is released to the competition participants, the testing dataset is reserved by iPinYou. The complete testing dataset is randomly divided into two parts: one part is the leaderboard testing dataset to score and rank the participating teams on the leaderboard, and the other part is reserved for the final offline evaluation. The participant's last offline submission is evaluated by the reserved testing dataset to get a team's offline final score. This dataset contains all three seasons training datasets and leaderboard testing datasets.The reserved testing datasets are withheld by iPinYou. The training dataset includes a set of processed iPinYou DSP bidding, impression, click, and conversion logs.
Source: iPinYou Global RTB Bidding Algorithm Competition Dataset Image Source: http://contest.ipinyou.com/ipinyou-dataset.pdf
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 | iPinYou | OPNN AUC 0.8174 | Product-based Neural Networks for User Response Prediction | shenweichen/DeepCTR +10 | 7 | Compare |
Papers archive 2025-07-28
4 shown of 4 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 22. 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 |
| Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction | 1 | 2 | 3 Aug 2021 | ran 0 of 9 samples (9 unverified) |
| Product-based Neural Networks for User Response Prediction | 11 | 3 | 1 Nov 2016 | not harvested |
| Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction | 5 | 1 | 11 Jan 2016 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
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
- iPinYou
1 variant name, as the archive lists them.
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