Towards a Construction Kit for Visual Recommender Systems

Author:

Freller Lisa-Maria1,Keck Mandy1,Neumayr Thomas1,Augstein Mirjam1

Affiliation:

1. Campus Hagenberg, University of Applied Sciences Upper Austria, Austria

Funder

Excellence Starting Fund of the University of Applied Sciences Upper Austria

Publisher

ACM

Reference27 articles.

1. Explaining educational recommendations through a concept-level knowledge visualization

2. Semantic audio content-based music recommendation and visualization based on user preference examples

3. Veronika Bogina , Julia Sheidin , Tsvi Kuflik , and Shlomo Berkovsky . 2020. Visualizing Program Genres ’ Temporal-Based Similarity in Linear TV Recommendations . Association for Computing Machinery , New York, NY, USA . https://doi.org/10.1145/3399715.3399813 10.1145/3399715.3399813 Veronika Bogina, Julia Sheidin, Tsvi Kuflik, and Shlomo Berkovsky. 2020. Visualizing Program Genres’ Temporal-Based Similarity in Linear TV Recommendations. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3399715.3399813

4. RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers

5. Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities

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1. Uncovering Patterns in Design Spaces: An Exploration Tool for the Analysis of Faceted Interface Collections;Proceedings of the 2024 International Conference on Advanced Visual Interfaces;2024-06-03

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