Faculty Directory
Edward Malthouse

Erastus Otis Haven Professor of Integrated Marketing Communications

Professor of Industrial Engineering and Management Sciences

Contact

2145 Sheridan Road
MTC 3-129
Evanston, IL 60208-3109

847-467-3376Email Edward Malthouse

Departments

Industrial Engineering and Management Sciences

Affiliations

Master of Science in Machine Learning and Data Science Program


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Education

PhD Computational Statistics, Northwestern University, Evanston, Illinois

MS Operational Research, Southhampton University, Southhampton, United Kingdom

BA Mathematics, Augustana College, Rock Island, Illinois


Biography

Edward C. Malthouse is the Erastus Otis Haven Professor of Integrated Marketing Communications and Professor of Industrial Engineering and Management Science at Northwestern University and the Research Director for the Spiegel Center for Digital and Database Marketing. He was the co-editor of the Journal of Interactive Marketing between 2005-2011, and was a senior research scholar at Northwestern’s Media Management Center.  His research interests center on customer engagement and experiences; digital, social and mobile media; big data; customer relationship management and lifetime value models; predictive analytics; recommendation systems, unsupervised learning; and integrated marketing communications. He received Northwestern University’s Walter Award for Research Excellence in 2009 and has won many best-paper awards from different academic journals.

He earned his PhD in 1995 in statistics focusing on neural networks and machine learning from Northwestern University and completed a post doc at the Kellogg marketing department. He has a masters degree in operational research from the University of Southampton and a bachelor’s degree in mathematics and economics from Augustana College.

Research Interests

Edward C. Malthouse is the Erastus Otis Haven Professor of Integrated Marketing Communications and Industrial Engineering and Management Science at Northwestern University, the Research Director for the Spiegel Center for Digital and Database Marketing and a research fellow for the Local News Initiative. He is the co-editor of the Journal of Service Research and was the co-editor of the Journal of Interactive Marketing between 2005-2011. He was a research fellow for the Media Management Center. He earned his PhD in 1995 in computational statistics from Northwestern University and completed a post doc at the Kellogg marketing department. His research interests center on customer engagement and experiences; digital, social and mobile media; big data; customer lifetime value models; predictive analytics; recommender systems; unsupervised learning; and media management 


Selected Publications

  • Malthouse, Edward; Copulsky, Jonathan, Artificial intelligence ecosystems for marketing communications, International Journal of Advertising (2023).
  • Peña, Vincent C.; Malthouse, Edward C.; Mersey, Rachel D, Churning off the news, Newspaper Research Journal (2023).
  • Zhou, Yayu; Calder, Bobby J.; Malthouse, Edward C.; Hessary, Yasaman Kamyab, Not all clicks are equal, Journal of Media Business Studies (2022).
  • Kim, Su Jung; Wang, Xiaohan; Malthouse, Edward C., Digital News Readership and Subscription in the United States during COVID-19, Digital Journalism (2022).
  • Li, Xinyi; Malthouse, Edward C., An Interpretable Neural Network Model for Bundle Recommendations Doctoral Symposium, Extended Abstract, Association for Computing Machinery, Inc (2022).
  • Maslowska, Ewa; Malthouse, Edward C.; Hollebeek, Linda D., The role of recommender systems in fostering consumers' long-term platform engagement, Journal of Service Management (2022).
  • Özgöbek, Özlem; Lommatzsch, Andreas; Kille, Benjamin; Liu, Peng; Gulla, Jon Atle; Malthouse, Edward C., The 10th International Workshop on News Recommendation and Analytics (INRA 2022), Association for Computing Machinery, Inc (2022).
  • Huang, Ming Hui; Malthouse, Edward; Noble, Stephanie; Wetzels, Martin, Moving Service Research Forward, Journal of Service Research (2021).