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 -- user device, spacial or temporal data, user task or activity, weather. This can be overwhelming for systems and algorithms designed to train in batches, given the continuous and potentially fast change of content, context and user preferences or intents. Therefore, it is important to investigate online methods able to transparently adapt to the inherent dynamics of online services. Incremental models that learn from data streams 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. User modeling and personalization can particularly benefit from algorithms capable of maintaining models incrementally and online.

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 user modeling, recommendation and personalization, and their implications regarding multiple dimensions, such as evaluation, reproducibility, privacy and explainability.

Relevant topics include, but are not limited to:

Submission instructions

We welcome original, unpublished work in the form of either long or short paper submissions via EasyChair at: Long papers must not exceed 14 pages (excluding references), and should report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 short 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 2021 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

2021-07-13: Paper submission deadline
2021-08-21: Paper acceptance notification
2021-09-11: Camera-ready paper deadline
2021-10-01: Workshop date



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