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Found 7 papers, 1 papers with code
Matching Theory-based Recommender Systems in Online Dating
Online dating platforms provide people with the opportunity to find a partner.
A Real-World Implementation of Unbiased Lift-based Bidding System
Second, thepractical usefulness of lift-based bidding is not widely understood in the online advertising industry due to the lack of a comprehensive investigation of its impact. We here propose a practically-implementable lift-based bidding system that perfectly fits the current billing rules.
Aggregate Learning for Mixed Frequency Data
Large and acute economic shocks such as the 2007-2009 financial crisis and the current COVID-19 infections rapidly change the economic environment.
Online-to-Offline Advertisements as Field Experiments
Herein, we study the difference in offline behavior between customers who received online advertisements and regular customers (i. e., the customers visits the target shop voluntary), and the duration of this difference.
Unbiased Lift-based Bidding System
Rather, the bidding strategy that leads to the maximum revenue is a strategy pursuing the performance lift of showing ads to a specific user.
Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach
Understanding consumer behavior is an important task, not only for developing marketing strategies but also for the management of economic policies.
Fatigue-Aware Ad Creative Selection
In online display advertising, selecting the most effective ad creative (ad image) for each impression is a crucial task for DSPs (Demand-Side Platforms) to fulfill their goals (click-through rate, number of conversions, revenue, and brand improvement).
