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

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

Feb 08, 2024 177 likes •305 views

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 /

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What should I read next?

A Visual Publication Recommender System

André Calero Valdez Simon Bruns Christoph Greven Ulrik Schroeder Martina Ziefle

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Motivation - Challenges

  • Information overload
  • 679,858 papers per year in 2009 / 365 days / 24 hours / 60 minutes

= 1.29 papers per minute (medicine)

  • Identify relevant publications
  • External Publication Sources

02

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Motivation - User

Researcher

  • Scientific Output
  • Profile (Keywords)
  • Colleagues at one institute

01

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Recommender System Characteristics

  • Ranking of top items
  • Inherent issues
  • Trustworthiness
  • Understanding

Transparency

03

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Recommender System Transparency

  • Comprehensive Items and

Connections

  • Focus on UI solution
  • User centered system

○ User in control ○ Part of the system

04

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Recommender System Item Scoring

  • Keywords well-known to users
  • TF-ICF

○ Iteration of TF-IDF ○ Generates Keyword relevance (PDF)

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Recommender System Exploration

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  • Graph

○ Publication Network ○ Explorative Design

  • Publication and Topic Nodes
  • Semantic connections
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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)

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Us User Study - Sa Sample

  • 16 Participants

○ Researchers ○ 50% Male/Female ratio ○ Asses track record

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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
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Us User Study - Re Results

  • Trust is a major factor

○ Strong correlation ■ Accuracy ■ Structure & Overview ○ Weaker correlation ■ NPS ■ Research Interest of Colleagues

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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

9/26/18 Summary 12

André Calero Valdez

§ calero-valdez@comm.rwth-aachen.de § 0241 – 80 239480