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Personalized ad recommendation systems for life-time value optimization with guarantees
6 references·4 citing·43 second hop
Personalized ad recommendation systems for life-time value optimization with guarantees (2015)Personalized ad recommendation systems fo…Doubly Robust Policy Evaluation and Learning (2011)Doubly Robust Policy Evaluati…Learning from Logged Implicit Exploration Data (2010)Learning from Logged Implicit…The 2005 ISMS Practice Prize Winner—Customer Equity and Lifetime Management (CELM) Finnair Case Study (2007)The 2005 ISMS Practice Prize …Joint optimization of customer segmentation and marketing policy to maximize long-term profitability (2004)Joint optimization of custome…Sequential cost-sensitive decision making with reinforcement learning (2002)Sequential cost-sensitive dec…Modeling customer relationships as Markov chains (2000)Modeling customer relationshi…How Does Competition Affect Exploration vs. Exploitation? A Tale of Two Recommendation Algorithms (2023)How Does Competition Affect E…Safe Reinforcement Learning (2021)Safe Reinforcement LearningA computational reward learning account of social media engagement (2021)A computational reward learni…Dynamic Programming Models for Maximizing Customer Lifetime Value: An Overview (2019)Dynamic Programming Models fo…The Nonstochastic Multiarmed Bandit Problem (2002)Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits (2014)Batch learning from logged bandit feedback through counterfactual risk minimization (2015)The self-normalized estimator for counterfactual learning (2015)Market Segmentation: Conceptual and Methodological Foundations (1997)Customer lifetime value: Marketing models and applications (1998)Customer attrition analysis for financial services using proportional hazard models (2003)Quantitative models for direct marketing: A review from systems perspective (2008)Game design as marketing: How game mechanics create demand for virtual goods (2010)Empathy as added value in predicting donation behavior (2011)Introduction to Operations Research (1968)Customer lifetime valuation to support marketing decision making (1997)Recapturing Lost Customers (2004)Marketing Models of Service and Relationships (2006)Building With Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multichannel Environment (2015)The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information (2007)Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms (2011)Doubly Robust Policy Evaluation and Optimization (2014)A Survey on Contextual Multi-armed Bandits (2015)From Ads to Interventions: Contextual Bandits in Mobile Health (2017)Near-optimal Regret Bounds for Reinforcement Learning (2010)Bandits With Heavy Tail (2013)Superintelligence: paths, dangers, strategies (2015)Principles of Corporate Finance. (1981)Simulation Modeling and Analysis. (1983)Simulation modeling and analysis (1999)Applying decision trees for value-based customer relations management: Predicting airline customers' future values (2007)Customer assets and customer equity: Management and measurement issues (2010)A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy (2004)Customer Metrics and Their Impact on Financial Performance (2006)Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House (2013)A Theory of Social Comparison Processes (1954)ON THE LAW OF EFFECT 1 (1970)Why people use social networking sites: An empirical study integrating network externalities and motivation theory (2011)Integrating Media Selection and Media Effects Using Decision Theory (2021)Algorithm-mediated social learning in online social networks (2023)Invoking self-related and social thoughts impacts online information sharing (2023)Perfect Equilibrium in a Bargaining Model (1982)Using Online Conversations to Study Word-of-Mouth Communication (2004)Competition and Innovation: An Inverted U Relationship (2008)Optimizing debt collections using constrained reinforcement learning (2010)Ad Recommendation Systems for Life-Time Value Optimization (2015)Fire now, fire later: alarm-based systems for prescriptive process monitoring (2021)
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References

  • 2011Doubly Robust Policy Evaluation and Learning383 cited
  • 2000Modeling customer relationships as Markov chains346 cited
  • 2004Joint optimization of customer segmentation and marketing policy to maximize long-term profitability192 cited
  • 2010Learning from Logged Implicit Exploration Data154 cited
  • 2002Sequential cost-sensitive decision making with reinforcement learning69 cited
  • 2007The 2005 ISMS Practice Prize Winner—Customer Equity and Lifetime Management (CELM) Finnair Case Study44 cited

Cited by

  • 2021A computational reward learning account of social media engagement185 cited
  • 2021Safe Reinforcement Learning59 cited
  • 2023How Does Competition Affect Exploration vs. Exploitation? A Tale of Two Recommendation Algorithms36 cited
  • 2019Dynamic Programming Models for Maximizing Customer Lifetime Value: An Overview10 cited

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