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What should I read next? A Visual Publication Recommender System - PowerPoint PPT Presentation

What should I read next? A Visual Publication Recommender System Andr Calero Valdez Simon Bruns Christoph Greven Ulrik Schroeder Martina Ziefle Motivation - Challenges Information overload 679,858 papers per year in 2009 / 365 days /


  1. What should I read next? A Visual Publication Recommender System André Calero Valdez Simon Bruns Christoph Greven Ulrik Schroeder Martina Ziefle

  2. Motivation - Challenges ● Information overload 679,858 papers per year in 2009 / 365 days / 24 hours / 60 minutes o = 1.29 papers per minute (medicine) ● Identify relevant publications ● External Publication Sources 02

  3. Motivation - User Researcher ● Scientific Output ● Profile (Keywords) ● Colleagues at one institute 01

  4. Recommender System Characteristics ● Ranking of top items ● Inherent issues Trustworthiness o Understanding o Transparency 03

  5. Recommender System Transparency ● Comprehensive Items and Connections ● Focus on UI solution ● User centered system ○ User in control ○ Part of the system 04

  6. Recommender System Item Scoring ● Keywords well-known to users ● TF-ICF ○ Iteration of TF-IDF ○ Generates Keyword relevance (PDF) 06

  7. Recommender System Exploration ● Graph ○ Publication Network ○ Explorative Design ● Publication and Topic Nodes ● Semantic connections 05

  8. Recommender System Exploration ● Filter Control ○ Input Interface ○ Choose from different Filter types ● Filter Interaction ○ Modification Interface ● Information Tab ○ Detailed Information on each graph node (topic & publication)

  9. Us User Study - Sa Sample ● 16 Participants ○ Researchers ○ 50% Male/Female ratio ○ Asses track record

  10. Us User Study - Met Metho hod Measured Variables • SUS, NPS and ResQue • Trust in System • Accuracy of Recommendations • Additional Benefits: • Structure and Overview • Research Interests

  11. Us User Study - Re Results ● Trust is a major factor ○ Strong correlation ■ Accuracy ■ Structure & Overview ○ Weaker correlation ■ NPS ■ Research Interest of Colleagues

  12. Summary & Contact TIGRS – Publication recommendation System § Graph-based visualization § Exploration instead of linear search § Positive User Evaluation § Trust is important § Overview over colleagues research interests as secondary benefit André Calero Valdez § calero-valdez@comm.rwth-aachen.de § 0241 – 80 239480 9/26/18 Summary 12

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