Antrea Chrysanthou
Pınar Barlas
Kyriakos Kyriakou
Styliani Kleanthous
Jahna Otterbacher
2020-03-01
<p>Modern information access systems extensively use personalization, automatically filtering and/or ranking content based on the<br>
user profile, to guide users to the most relevant material. However, this can also lead to unwanted effects such as the “filter bubble."<br>
We present an interactive demonstration system, designed as an educational and research tool, which imitates a search engine, personalizing the search results returned for a query based on the user’s characteristics. The system can be tailored to suit any type of<br>
audience and context, as well as enabling the collection of responses and interaction data.</p>
This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development.
https://doi.org/10.5281/zenodo.3747435
oai:zenodo.org:3747435
eng
Zenodo
https://zenodo.org/communities/rise-teaming-cyprus
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3747434
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
IUI '20, International Conference on Intelligent User Interfaces
Information filtering
Overpersonalization
Bursting the Bubble: Tool for Awareness and Research about Overpersonalization in Information Access Systems
info:eu-repo/semantics/conferencePaper