@inproceedings{a7d771ead8434efebf16961f8ed3a7dc,
title = "Enhancing explainability of social recommendation using 2D graphs and word cloud visualizations",
abstract = "Explainability is an important desired property of recommendation systems. We consider a graph-based recommendation approach, which generates detailed explanations to users in the form of labelled connecting relational paths and present a visualization interface intended to convey such detailed relational information in clear and intuitive manner. As initial evaluation, we performed a user study at an academic conference, recommending participants the users may be interested to meet (using rsr.cloud). The feedbacks were enthusiastic, indicating that the proposed visualizations of relational explanations are engaging and useful.",
keywords = "2D graph, Visualized social recommendation, Word cloud",
author = "Saeed Amal and Mustafa Adam and Peter Brusilovsky and Einat Minkov and Tsvi Kuflik",
note = "Publisher Copyright: {\textcopyright} 2019 ACM.; 24th International Conference on Intelligent User Interfaces, IUI 2019 ; Conference date: 16-03-2019 Through 20-03-2019",
year = "2019",
month = mar,
day = "16",
doi = "10.1145/3308557.3308702",
language = "American English",
series = "International Conference on Intelligent User Interfaces, Proceedings IUI",
pages = "21--22",
booktitle = "Proceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019",
}