Harvesting entity-relation social networks from the web: Potential & challenges

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

Abstract

We describe a graph-based entity profiling system (GBEP) that extracts information about persons of interest from theWeb and uses this information to construct a joint social graph. GBEP then employs graph-based measures to assess inter-personal relatedness, performing social recommendation. Importantly, GBEP provides detailed explanations for its suggestions in the form of relational connecting paths. Initial positive results were obtained for recommending related conference participants to each other using a joint social graph constructed for this purpose.

Original languageEnglish
Title of host publicationUMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages351-352
Number of pages2
ISBN (Electronic)9781450346351
DOIs
StatePublished - 9 Jul 2017
Event25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 - Bratislava, Slovakia
Duration: 9 Jul 201712 Jul 2017

Publication series

NameUMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

Conference

Conference25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017
Country/TerritorySlovakia
CityBratislava
Period9/07/1712/07/17

Bibliographical note

Publisher Copyright:
©2017 ACM.

Keywords

  • Graph-based recommendation
  • Information extraction

ASJC Scopus subject areas

  • Software

Fingerprint

Dive into the research topics of 'Harvesting entity-relation social networks from the web: Potential & challenges'. Together they form a unique fingerprint.

Cite this