Open franktseng0718 opened 1 year ago
Also interested in this!
@franktseng0718 did you ever find an example of this methodology? It sounds like its a "standard" way to evaluate offline
Aye! I‘d like to introduce the paper
Wu W C H, Yeh M Y, Chen M S. Predicting winning price in real time bidding with censored data[C]//Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2015: 1305-1314.
to you guys where it elaborated the data preparation in section 4.1. Also, this method was applied in
Wu W, Yeh M Y, Chen M S. Deep censored learning of the winning price in the real time bidding[C]//Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2018: 2526-2535.
Ren K, Qin J, Zheng L, et al. Deep landscape forecasting for real-time bidding advertising[C]//Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. 2019: 363-372.
just name a few. You can easily find the description in their 4.1 sections.
Hope this helps. @franktseng0718 @AllardJM
@shinleylee Do you think this data prep only works with second price auctions? If so, have you seen anything dealing with first price?
I'd like to reproduce your research result in your paper, but I wonder how you fake the bidding price to simulate the winning and losing samples, or can you provide the code of your preprocessing?