ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability-Reference-Cited by-同舟云学术

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ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability

Published:2024-06-27 Issue: Volume:39 Page:292-304
ISSN:
Container-title:Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Al-Hazwani Ibrahim¹^ORCID,Luo Tiantian²^ORCID,Inel Oana³^ORCID,Ricci Francesco⁴^ORCID,El-Assady Mennatallah⁵^ORCID,Bernard Jürgen⁶^ORCID

Affiliation:

1. Department of Informatics, University of Zurich, Switzerland and Digital Society Initiative, Switzerland

2. University of Zurich, Switzerland

3. Department of Informatics, University of Zurich, Switzerland

4. Free University of Bozen-Bolzano, Italy

5. ETH Zurich, Switzerland

6. University of Zurich, Switzerland and Digital Society Initiative, Switzerland

Funder

Digital Society Initiative

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631700.3665183

Reference86 articles.

1. Humanizing data through ‘data comics’:

2. Recommender System in Tourism Using Case based Reasoning Approach

3. The Emerging Genre of Data Comics

4. Design Patterns for Data Comics

5. Tourism Destination Recommendation Using Ontology-based Conversational Recommender System

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