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yufengwhy avatar yufengwhy commented on August 17, 2024

good questions but no related open datasets

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IPL avatar IPL commented on August 17, 2024

It's an interesting question, but to some extent I think it is still a "sequential CTR predication" problem. I think you can search with keyword CTR + RNN.

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rk2900 avatar rk2900 commented on August 17, 2024

You may read this paper:
Managing Risk of Bidding in Display Advertising by Haifeng Zhang et al. WSDM 2017.

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wsteitz avatar wsteitz commented on August 17, 2024

Outbrain's Kaggle competition could be interesting in this regard: https://www.kaggle.com/c/outbrain-click-prediction. They show multiple recommendations (stories not ads) to a user on the same page and one has to sort the recommendations by click likelihood. Obviously, the CTR of one item is influenced by the other items in consideration. Some participants came up with features and models to use this information. @wjbianjason The dataset could be interesting for you, but also the approaches published by the kagglers.

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yufengwhy avatar yufengwhy commented on August 17, 2024

Last answer remind me of a SIGIR 17 paper (Evaluating Web Search with a Bejeweled Player Model)

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wjbianjason avatar wjbianjason commented on August 17, 2024

@IPL thanks for your answer, but i don't think it is a sequential problem. because in this situation, all the items are displayed at the same time.

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wjbianjason avatar wjbianjason commented on August 17, 2024

@rk2900 thanks, i'll read it

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wjbianjason avatar wjbianjason commented on August 17, 2024

@wsteitz thanks for your detailed answer, I‘ll follow the competition and study the participants' methods

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wjbianjason avatar wjbianjason commented on August 17, 2024

@yufengwhy thanks, i'll read it, If i get some gain, I'll write here

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wenzishou avatar wenzishou commented on August 17, 2024

good topic

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