Demonstrating personalized multifaceted visualization of people recommendation to conference participants

Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We demonstrate an intelligent, personalized, multifaceted visualization of people recommendation using a personalized 2D entities graph and a word cloud for exploration by the user. This visualization aims to show non-trivial connections, e.g., those that the user may had forgotten about, but they are interesting and relevant. Since entities we are linked to are part of our lives (and profile), they help to understand who we are and what are we interested in. We adapt the typed entity-relation graph (profile) concept as introduced by [1] and based on this presentation we visualize the entity profile. In this demonstration, the users, as case study are the participants of IUI'20, will be able to explore their own personalized entities graph based on entities and relations that the system harvest about them (after getting their approval), from the web for finding interesting connections that they may meet in the context of this conference.

Original languageAmerican English
Title of host publicationProceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020
Pages49-50
Number of pages2
ISBN (Electronic)9781450375139
DOIs
StatePublished - 17 Mar 2020
Event25th International Conference on Intelligent User Interfaces, IUI 2020 - Cagliari, Italy
Duration: 17 Mar 202020 Mar 2020

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference25th International Conference on Intelligent User Interfaces, IUI 2020
Country/TerritoryItaly
CityCagliari
Period17/03/2020/03/20

Keywords

  • Graph Visualization
  • Graph-based representation

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction

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