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 language | English |
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Title of host publication | UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization |
Publisher | Association for Computing Machinery, Inc |
Pages | 351-352 |
Number of pages | 2 |
ISBN (Electronic) | 9781450346351 |
DOIs | |
State | Published - 9 Jul 2017 |
Event | 25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 - Bratislava, Slovakia Duration: 9 Jul 2017 → 12 Jul 2017 |
Publication series
Name | UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization |
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Conference
Conference | 25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 |
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Country/Territory | Slovakia |
City | Bratislava |
Period | 9/07/17 → 12/07/17 |
Bibliographical note
Publisher Copyright:©2017 ACM.
Keywords
- Graph-based recommendation
- Information extraction
ASJC Scopus subject areas
- Software