Call for Papers

Modern online services continuously generate data at very fast rates. This continuous flow of data encompasses content - e.g. posts, news, products, comments -, but also user feedback - e.g. ratings, views, reads, clicks -, together with context data. This can be overwhelming for systems and algorithms designed to train in batches, given the continuous and unpredictable rate of change of content, context and user preferences or intents, especially in long-term modeling. Therefore, it is important to investigate online methods able to transparently and robustly adapt to the multitude of dynamics of online services.

Incremental models and online learning methods are gaining attention in the recommender systems community, given their natural ability to deal with the continuous flows of data generated in dynamic, complex environments. The objective of this workshop is to foster contributions and bring together a growing community of researchers and practitioners interested in online, adaptive approaches to short- and long-term user modeling, recommendation and personalization, and their evaluation regarding multiple dimensions, such as fairness, privacy, explainability, and reproducibility.

Relevant topics include, but are not limited to:

Submission instructions

We welcome original, unpublished work in the form of paper submissions via EasyChair at: Papers must not exceed 14 pages (excluding references), and should report research at a mature stage. We also welcome the submission of preliminary results of ongoing research in the form of shorter papers with a maximum length of 8 pages, (excluding references). Papers must be formatted in single column format according to the guidelines in the ACM RecSys 2022 call for papers (template available from ACM).

The review process is double-blind, so authors are required to remove any content that allows author identification.

Important dates

2022-07-07: Paper submission deadline
2021-08-25: Paper acceptance notification
2021-09-08: Camera-ready paper deadline
TBA: Workshop date

All deadlines are at 11:59pm AoE.


The proceedings will be available as a dedicated volume in an open repository (e.g. CEUR-WS or PMLR).