most citedUnbiased Lift-based Bidding System

4 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR20224 cited

A Real-World Implementation of Unbiased Lift-based Bidding System

Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui +3

In display ad auctions of Real-Time Bid-ding (RTB), a typical Demand-Side Platform (DSP)bids based on the predicted probability of click and conversion right after an ad impression…

cs.LG2020

Online-to-Offline Advertisements as Field Experiments

Akira Matsui, Daisuke Moriwaki

Online advertisements have become one of today's most widely used tools for enhancing businesses partly because of their compatibility with A/B testing. A/B testing allows sellers…

cs.HC2020

Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms

Akira Matsui, Emilio Ferrara, Fred Morstatter +2

Crowdwork often entails tackling cognitively-demanding and time-consuming tasks. Crowdsourcing can be used for complex annotation tasks, from medical imaging to geospatial data, an…

cs.LG20204 cited

Unbiased Lift-based Bidding System

Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa +2

Conventional bidding strategies for online display ad auction heavily relies on observed performance indicators such as clicks or conversions. A bidding strategy naively pursuing t…

cs.LG2020

Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach

Akira Matsui, Teruyoshi Kobayashi, Daisuke Moriwaki +1

Understanding consumer behavior is an important task, not only for developing marketing strategies but also for the management of economic policies. Detecting consumption patterns,…