Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation

Xu He
Xu He
Yanghua Li
Yanghua Li
Haikai Chen
Haikai Chen
Qingyu Guo
Qingyu Guo
Xin Li
Xin Li
Zhirong Wang
Zhirong Wang

RecSys, pp. 63-72, 2020.

Cited by: 0|Bibtex|Views26|DOI:https://doi.org/10.1145/3383313.3412234
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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Online recommendation services recommend multiple commodities to users. Nowadays, a considerable proportion of users visit e-commerce platforms by mobile devices. Due to the limited screen size of mobile devices, positions of items have a significant influence on clicks: 1) Higher positions lead to more clicks for one commodity. 2) The ...More

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