Modern web-based systems continuously generate data at very fast rates.
This continuous flow of data encompasses web content - e.g. posts, news, products, comments -,
but also user feedback - e.g. ratings, views, reads, clicks, thumbs up -, as well as context information
- device used, geographic info, social network, current user activity, weather.
This is potentially overwhelming for systems and algorithms design to work in batch, given the fast rate of change of content,
usage patterns and contextual variables. Incremental models that learn from data streams are gaining attention, given their
natural ability to deal with data generated in dynamic, complex environments.
User modeling and personalization exploits content, user feedback and context in data, and can particularly benefit
from algorithms capable of maintaining models incrementally and online, as data is generated.
The objective of this workshop is to bring together researchers and practitioners interested in incremental and adaptive approaches to
recommendation and personalization, as well as other related tasks, such as evaluation, web content mining, context-awareness or architectures.
Relevant topics include, but are not limited to:
- Incremental user modeling
- Incremental recommender systems
- Incremental web mining
- Incremental text mining
- Online learning from user generated data
- Online learning from dynamic web content
- Online learning from multimedia content
- Online learning from social data
- Context-aware online learning
- Time-aware online learning
- Adaptive algorithms and interfaces
- Online evaluation
- Architectures for continuous web data processing
- Explainability in incremental recommenders
- Privacy assurance in incremental recommenders
- Online parameter optimization
We welcome original, unpublished work in the form of either long and short paper submissions via EasyChair at:
Long papers must not exceed 9 pages - including 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 4 pages including references.
Papers must follow the ACM sigconf template.
Review process is double-blind, so authors are required to remove any content that allows author identification.
2018-01-25: Paper submission deadline
2018-02-25: Paper acceptance notification
2018-03-04: Camera-ready paper deadline
2018-04-23: Workshop date
All deadlines are at 9:00pm HAST.
Accepted papers will be published in the Companion volume of The Web Conference 2018 proceedings, provided that the paper
is presented at the workshop by one of the authors. Presentations by proxy will be allowed in exceptional cases. Please check
the no-show policy at The Web Conference 2018 website.
Please read the copyright notice in the
Web Conference 2018 website.