NU:BRIEF-A privacy-aware newsleter personalization engine for publishers

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Abstract

Newsletters have (re-) emerged as a powerful tool for publishers to engage with their readers directly and more effectively. Despite the diversity in their audiences, publishers' newsletters remain largely a one-size-fits-all offering, which is suboptimal. In this paper, we present NU:BRIEF, a web application for publishers that enables them to personalize their newsletters without harvesting personal data. Personalized newsletters build a habit and become a great conversion tool for publishers, providing an alternative readers-generated revenue model to a declining ad/clickbait-centered business model.

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APA

Diaz-Aviles, E., Orellana-Rodriguez, C., Brigadir, I., & Narayanan Kutty, R. (2021). NU:BRIEF-A privacy-aware newsleter personalization engine for publishers. In RecSys 2021 - 15th ACM Conference on Recommender Systems (pp. 764–767). Association for Computing Machinery, Inc. https://doi.org/10.1145/3460231.3478884

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