ImpactRS 2019
Impact of Recommender Systems 2019

Table of Contents

• Preface
  
  

Papers

• A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions
  Lorenzo Porcaro, Emilia Gomez
• Assessing the Impact of a User-Item Collaborative Attack on Class of Users
  Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
• Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble
  Annelien Smets, Eladio Montero, Pieter Ballon
• Recommendations for Long-Term Profit Optimization
  Patrick Hosein, Inzamam Rahaman, Keanu Nichols, Kiran Maharaj
• The Impact of Recommenders on Scientific Article Discovery: The Case of Mendeley Suggest
  Minh Le, Subhradeep Kayal, Andrew Douglas
• Towards Creating a Non-synthetic Group Recommendation Dataset
  Matthijs Rijlaarsdam, Sebastiaan Scholten, Cynthia C.S. Liem

Position papers

• Analysing Recommender Systems Impact on Users’ Choices
  Naieme Hazrati, Mehdi Elahi, Francesco Ricci
• Here, There, and Everywhere: Building a Scaffolding for Children's Learning through Recommendations
  Ashlee Milton, Emiliana Murgia, Monica Landoni, Theo Huibers, Maria Soledad Pera
• Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings
  Christine Bauer, Eva Zangerle
• Measuring the Impact of Recommender Systems - A Position Paper on Item Consumption in User Studies
  Benedikt Loepp, Jürgen Ziegler
• Up Close, but not too Personal: Hypotargeting for Recommender Systems
  Martha Larson, Manel Slokom
• Towards More Impactful Recommender Systems Research
  Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan