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NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers

arXiv 2109.03955 ↗First posted 8 Sep 2021cs.DL cs.CY cs.HCcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 16 references that are in the map. First posted on arXiv 8 Sep 2021.

Builds on

10 of 16 references.

References · 10

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  10. 2013Empirical Analysis of Predictive Algorithms for Collaborative Filteringcited by 47

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