CARS-BDA 2019: The 1st International Workshop on Context-aware Recommendation Systems with Big Data Analytics Melbourne, Australia, February 15, 2019 |
Conference website | http://wise-conferences.org/CARS-BDA/CARS-BDA.html |
Submission link | https://easychair.org/conferences/?conf=carsbda2019 |
Abstract registration deadline | November 25, 2018 |
Submission deadline | November 25, 2018 |
With the explosive growth of online service platforms, increasing number of people and enterprises are doing everything online. In order for organizations, governments, and individuals to understand their users, and promote their products or services, it is necessary for them to analyse big data and recommend the media or online services in real time. Effective recommendation of items of interest to consumers has become critical for enterprises in domains such as retail, e-commerce, and online media. Driven by the business successes, academic research in this field has also been active for many years. Though many scientific breakthroughs have been achieved, there are still tremendous challenges in developing effective and scalable recommendation systems for real-world industrial applications. The big data sizes and complex contextual information add further challenges to the deployment of advanced recommender systems. This workshop aims to bring together researchers with wide-ranging backgrounds to identify important research questions, to exchange ideas from different research disciplines, and, more generally, to facilitate discussion and innovation in the area of context-aware recommender systems and big data analytics.
CARS-BDA 2019 welcomes all researchers in the database, data mining, natural language processing, information retrieval to submit their original research contributions relating to all aspects of recommendation and data analytics.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers : up to 6 pages
- Posters : up to 4 pages
Papers must be submitted in PDF according to the new two-column ACM format published in the ACM guidelines, selecting the generic "sigconf" sample. Papers should be no more than six pages in length, including diagrams, appendices, and references.
The research paper review process is single-blind: all author names and identifying information could appear in submissions. Research papers can be submitted for review via the online submission system. Submissions are due by November 25, 2018.
List of Topics
- Context modeling techniques for recommender systems;
- Context-aware user modeling for recommender systems
- Context selection techniques for recommender systems;
- Big data analytics techniques for recommender systems;
- Data sets for context-dependent recommendations;
- Algorithms for detecting the relevance of contextual data;
- Algorithms for incorporating contextual information into recommendation process;
- Algorithms for building explicit dependencies between contextual features and ratings;
- Interacting with context-aware recommender systems;
- Novel applications for context-aware recommender systems;
- Large-scale context-aware recommender systems;
- Evaluation of context-aware recommender systems;
- Mobile context-aware recommender systems;
- Context-aware group recommendations;
- Evaluation of context-aware recommender systems.
Committees
Program Committee
Organizing committee
- Xiangmin Zhou
- Ji Zhang
- Yanchun Zhang
Contact
All questions about submissions should be emailed to Xiangmin Zhou, xiangmin.zhou@rmit.edu.au