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

09/08/2021
by   Ernesto Diaz-Aviles, et al.
0

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.

READ FULL TEXT
research
08/11/2015

Can JSP Code be Generated Using XML Tags?

Over the years, a variety of web services have started using server-side...
research
12/01/2022

A Value-Centered Exploration of Data Privacy and Personalized Privacy Assistants

In the the current post-GDPR landscape, privacy notices have become ever...
research
08/14/2020

Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation

The Web is a ubiquitous economic, educational, and collaborative space. ...
research
07/05/2019

A Conceptual Marketplace Model for IoT Generated Personal Data

We propose a decentralized conceptual marketplace model for IoT generate...
research
11/12/2022

Brief on tool path generation/optimization methods for multi-axis CNC machining

The quality of tool paths is a dominant factor in CNC machining, determi...
research
03/27/2023

Synia: Displaying data from Wikibases

I present an agile method and a tool to display data from Wikidata and o...

Please sign up or login with your details

Forgot password? Click here to reset