wnzhang / rtb-papers Goto Github PK

Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features
http://proceedings.mlr.press/v53/yang16.pdf

Learning Algorithms for Second-Price Auctions with Reserve
http://cims.nyu.edu/~munoz/papers/res.pdf

Hi Weinan,

Here is (your) paper: http://wnzhang.net/papers/risk-bid.pdf :-)

As we can see, in real industry environment, an advertisement is always surrounded with other advertisements, therefore, this advertisement's CTR is influenced by other advertisement's info. But, when we construct CTR model, we usually regard it as a single point prediction. So I want to know is there some papers to settle this question, or how to define this problem, I can search some related paper. Thanks.

Consider to add the following paper:

Web-Scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine (Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich, 2010)
https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/AdPredictor-ICML-2010-final.pdf

Also consider this python implementation of the AdPredictor algorithm described in the paper above:
http://tullo.ch/articles/online-learning-with-adpredictor/

Scalable Hierarchical Multitask Learning Algorithms for
Conversion Optimization in Display Advertising
https://www.microsoft.com/en-us/research/wp-content/uploads/2014/02/wsdm2014-multitask.pdf

That's fantastic idea to collect all useful rtb papers in one place.

Thank you a lot.

Recently, I want to implement the algorithm proposed in "Do you know any implementation of the algorithm proposed in "Using Co-Visitation Networks For Classifying Non-Intentional Traffic". It's hard to start from scratch, and it will be easier if there is any implementation to follow. If you know, please tell me. Thx!