UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023)

Conference Topics

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 in the

extended version of the CFP on the UMAP 2023 website.

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.

Personalizing Learning Experiences through User Modeling

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, beneficial to society, and accountable for their impacts.

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.