Bandits meet mechanism design to combat clickbait in online recommendation
We study a strategic variant of the multi-armed bandit problem, which we coin the strategic
click-bandit. This model is motivated by applications in online recommendation where the …
click-bandit. This model is motivated by applications in online recommendation where the …
Contextual Multinomial Logit Bandits with General Value Functions
Contextual multinomial logit (MNL) bandits capture many real-world assortment
recommendation problems such as online retailing/advertising. However, prior work has …
recommendation problems such as online retailing/advertising. However, prior work has …
Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions
Online advertising platforms leverage a two-stage auction architecture to deliver
personalized ads to users with low latency. The first stage efficiently selects a small subset of …
personalized ads to users with low latency. The first stage efficiently selects a small subset of …
Online Incentive Protocol Design for Reposting Service in Online Social Networks
Reposting plays an essential role in boosting visibility on online social networks (OSNs). In
this paper, we study the problem of designing “reposting service” in an OSN to incentivize …
this paper, we study the problem of designing “reposting service” in an OSN to incentivize …