CFP: User Modeling and Personalization Track

Track chairs:

• Ben Carterette (Spotify, USA)
• Elisabeth Lex (Graz University of Technology, Austria)
• Jie Zhang (Nanyang Technological University, Singapore)

Contact:

We invite research contributions to the User Modeling and Personalization Track at the 32nd edition of The Web Conference series (formerly known as WWW), to be hosted at Austin, TX, US, on April 30 - May 4, 2023 in Austin, TX ( /www2023/)

A large swath of user interaction with various online services happens through devices connected to the World Wide Web. Hence, developing technologies to understand and personalize user experience in applications powered by web data has become one of the most challenging problems for Web researchers and practitioners. Recent advances have enabled the processing of vast amounts of data collected from these devices, using techniques from machine learning, statistical modeling, natural language processing, speech recognition, computer vision, and others. The sheer volume of interactions has also made it possible to innovate and experiment continuously in a data-driven fashion, based on users’ interactions and feedback. Such technology can benefit everyone if it is developed with inclusion at the heart of technical choices, particularly with techniques to mitigate biases that may arise at different stages, from data collection to modeling and evaluation, to system design. In this track, we invite original research submissions addressing all aspects of user modeling, personalization, inclusive modeling, and system design in the context of the Web.

Topics include (but are not limited to):

• User Modeling:

  • User Model Development, Log Analysis, and Offline Evaluation
  • Qualitative Methods to Collect and Analyze User Feedback
  • User Modeling for Engagement and Interaction Models
  • User Modeling for Content Discovery
  • User Modeling for Interactive and Conversational Systems
  • Innovative Methods to Enhance Online Personalization
  • Practical Large-scale Studies of User Experience
  • Experiment Design for Online Evaluation

• Personalization:

  • Personalized Content Ranking and Presentation
  • Machine Learning for Personalized Search and Recommendations
  • Trust and Social Recommender Systems (please also read the “Security and Trust” track call for papers)
  • Personalization for the Social Web
  • Intelligent Agents and Personal Assistants
  • Psychology-informed User Models and Recommender Systems
  • Metrics for User Behavior and Evaluating Success

• Accessible, Fair, Inclusive, and Accountable Modeling and System Design:

  • Algorithmic Bias, Fairness, and Transparency in Personalized Discovery (please also read the “Fairness, Accountability, Transparency, and Ethics on the Web” track call for papers)
  • Fairness-aware Retrieval and Ranking (please also read the “Search” track call for papers)
  • Personalized Diversity for Search and Recommendation Systems
  • Multi-Sided Fairness in Personalized Search and Recommendation
  • Diversity and Fairness Metrics and Evaluation in Personalized Discovery
  • Simulation Models of Personalized Systems
  • Explainable Methods for Personalization
  • User Privacy Protection in Personalized Systems
  • Studies of longitudinal effects of personalized systems

Authors should consult the conference’s main Research Track CFP to ensure their submissions are aligned with broader conference expectations, scope, and theme: “Web Research with Openness, Fairness and Reproducibility”. The CFP also details submission guidelines, relevant dates, and important policies.

Submissions that are out of scope or unresponsive to the call above will be rejected early during the reviewing process (“desk rejected”) with minimal feedback. This includes submissions that do not relate to the web or web-based infrastructures, technologies, or platforms.

In case you have doubts whether your paper fits the scope of this track, please contact the track chairs umap-thewebconf2023@easychair.org