Not logged in.

Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability
Organization Unit
  • Ibrahim Al-Hazwani
  • Tiantian Luo
  • Oana Inel
  • Francesco Ricci
  • Mennatallah El-Assady
  • Jürgen Bernard
Presentation Type paper
Item Subtype Original Work
Refereed No
Status Published in final form
  • English
ISBN 979-8-4007-0466-6
Page Range 292 - 304
Event Title ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
Event Type conference
Event Location Cagliari, Italy
Event Start Date July 1 - 2024
Event End Date July 4 - 2024
Series Name Proceedings of the ACM Conference on User Modeling, Adaptation and Personalization
Publisher ACM Digital library
Abstract Text Recommender systems can help web users find more relevant content, improve their online experience, and support them in the discovery of new Points-of-Interest (POI). Yet, challenges persist in dealing with the cold-start problem and in recommendation explainability. To address these, we have created ScrollyPOI, an interactive POI recommender system based on Data Humanism principles. Utilizing scrollytelling, we address the cold-start problem by engaging users in reflecting on previous positive experiences. Additionally, ScrollyPOI enhances explainability through input and output explanations. The system uses stacked bar charts and word clouds to explain how user preferences inform recommendations (input). Finally, ScrollyPOI employs a multi-layered approach to explain why specific POIs are recommended (output). We have evaluated ScrollyPOI’s interface and experience through a preliminary study, highlighting its potential for transparent explanations in the POI recommendation domain. Our findings underscore ScrollyPOI’s efficacy in collecting preferences and enhancing recommendation transparency, positioning it as a platform for studying explainability goals in the POI domain.
Free access at DOI
Digital Object Identifier 10.1145/3631700.3665183
PDF File Download from ZORA
Export BibTeX