We welcome submissions related to user modeling, personalization, and adaptation of (intelligent) systems targeting a broad range of users and domains.  Detailed descriptions and the suggested topics for each track will be available shortly.

Personalized Recommender Systems. This track invites works from researchers and practitioners on recommender systems. In addition to mature research works addressing technical aspects of recommendations, we welcome research contributions that address questions related to user perception, decision-making, and the business value of recommender systems.

Adaptive, Semantic, Knowledge, and Social Graphs. This track welcomes works focused on the use of knowledge representations (i.e., novel knowledge bases), graph algorithms (i.e., graph embedding techniques), and social network analysis at the service of addressing all aspects of personalization, user model building, and personal experience in online social systems. Moreover, this track invites works in adaptive hypermedia, as well as semantic and social web.

Intelligent User Interfaces. This track invites works exploring how to make the interaction between computers and people smarter and more productive, leveraging solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning.

Technology-Enhanced Adaptive Learning. This track invites researchers, developers, and practitioners from various disciplines to submit their innovative learning solutions, share acquired experiences, and discuss their modeling challenges for personalized adaptive learning.

Fairness, Transparency, Accountability, and Privacy. Researchers, developers, and practitioners have a social responsibility to account for the impact that technologies have on individuals (users, providers, and other stakeholders) and society. This track invites works related to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users’ privacy, and beneficial to society.

Personalization for Persuasive and Behavior Change Systems. This track invites submissions focused on personalization and tailoring for persuasive technologies, including but not limited to personalization models, user models, computational personalization, design, and evaluation methods. It also welcomes work that brings attention to the user experience and designing personalized and adaptive behavior change technologies.

Virtual Assistants, Conversational Interactions, and Personalized Human-robot Interaction. This track invites works investigating new models and techniques for adapting synthetic companions (e.g., virtual assistants, chatbots, social robots) to individual users. With the conversational modality so in vogue across disciplines, this track welcomes work highlighting the model and deployment of synthetic companions driven by conversational search and recommendation paradigms.

Research Methods and Reproducibility. This track invites submissions on methodologies to evaluate personalized systems, benchmarks, and measurement scales, with particular attention to the reproducibility of results and techniques. Furthermore, the track looks for submissions that report new insights from reproducing existing works.