1st International Workshop on Recommender Systems with Big Data

RSBD 2019


Data Mining & Analysis Databases & Information Systems



RSBD 2019 will focus on technologies and solutions related, but not limited to:
- Large-scale parallelisation and distributed processing techniques to speed up the offline training of complex recommender models;
- Scalable hash and indexing techniques to speed up the online recommendation and reduce the storage cost;
- Machine learning techniques that effectively extract and fuse heterogeneous and multi- modal content features to improve recommendations;
- Context-aware recommendation systems incorporating various contextual information such as location-based recommendation and social recommendation;
- Incremental recommendation solutions and online learning models to deal with continuous updates, especially real time streaming data for recommendations;
- Active learning techniques to acquire high-quality and informative user feedback data;
- Robust recommender models that are resistant to spam reviews and ratings;
- Spam detection techniques to discover the malicious attackers and spam reviews or ratings;
- Data cleaning techniques to improve the quality of user generated behaviour and content data.
For more information regarding important dates and submission formats, please refer to our official webpage.