Visualizing Personalized Multifaceted ad-hoc Social Network

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 a novel personalized, multifaceted entity-relation graph visualization. Since entities we are linked to are part of our lives (and profile) and help to understand who we are and what are we interested we enable users to explore entities they are linked to in a specific context. For that purpose, we adapt the typed entity-relation graph (profile) concept. In the context of an academic conference, we allow scholars to explore a graph of related entities and a word cloud representing the links, providing the user a comprehensive, compact and structured overview about the explored scholar. In this demonstration, the users, as case study are the participants of UMAP'20, will be asked to explore an entity relation graph (profile) of a given participant (who accepted that his profile be presented to others for the matter of this research), and then based on this process, to give feedback about each of the visualization elements and the overall experience. Based on the informative feedbacks elicited, we will be able to evaluate to what extent this visualization would help in giving comprehensive overview in the exploration of any given scholar profile.

Original languageEnglish
Title of host publicationUMAP 2020 Adjunct - Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Pages101-102
Number of pages2
ISBN (Electronic)9781450367110
DOIs
StatePublished - 14 Jul 2020
Event28th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2020 - Genoa, Italy
Duration: 14 Jul 202017 Jul 2020

Publication series

NameUMAP 2020 Adjunct - Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference28th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2020
Country/TerritoryItaly
CityGenoa
Period14/07/2017/07/20

Keywords

  • entity profiling
  • graph-based representation
  • personalized multifaceted graph visualization

All Science Journal Classification (ASJC) codes

  • Software

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