posted by organizer: fsivrikaya || 10428 views || tracked by 11 users: [display]

JDSA SI 2021 : Springer Journal Special Issue on Data Science for Next-Generation Recommender Systems

FacebookTwitterLinkedInGoogle

Link: https://www.springer.com/journal/41060/updates/17193470
 
When N/A
Where N/A
Submission Deadline Dec 31, 2021
Categories    recommender systems   data science   machine learning   artificial intelligence
 

Call For Papers

Springer International Journal of Data Science and Analytics
Call for Papers: Special Issue on Data Science for Next-Generation Recommender Systems

This special issue solicits the latest and significant contributions on developing and applying data science and advanced analytics for building next-generation recommender systems, and particularly on data + model-driven intelligent and personalized recommender systems.

Submissions are invited on all topics of data science for recommender systems, including but not limited to:
- Advanced data mining, machine learning and deep learning for recommender systems;
- Automated recommender systems with automated model selection and parameter tuning in open and dynamic environment;
- Big data analytics and its applications to recommender systems;
- Context-aware and domain-driven recommender systems;
- Data science theories and techniques for recommender systems;
- Data-driven behavior modelling, analysis, and prediction for dynamic, session-based, sequential and next-best recommendation;
- Non-IID recommender systems with complex couplings, interactions, relations and heterogeneities;
- Recommender systems in low-quality large or small data and with misinformation; Personalized recommender systems and precision recommendation;
- Recommender systems for light-weighted and energy-efficient devices, IoT, PDA and relevant contexts; and
- Surveys, reviews and prospects on data-driven next-generation recommender systems.

Submission Guidelines:
Papers submitted to this special issue for possible publication must be original and must not be under consideration for publication in any other journal or conference. All manuscripts must be prepared according to the journal publication guidelines and author’s instructions which can be found on the website (http://www.springer.com/41060).

*** Please remember to select this special issue when you submit your manuscript in the submission system. ***

https://www.springer.com/journal/41060/updates/17193470

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
IJCAI 2022   31st International Joint Conference on Artificial Intelligence
IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
SENSORS Special Issue 2022   'Next Generation of Secure and Resilient Healthcare Data Processing'
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
Special issue on Recommender systems 2021   Scopus/Springer Special issue: Data Science for Next-Generation Recommender Systems with International Journal of Data Science and Analytics
ICML 2022   39th International Conference on Machine Learning
DATA 2022   11th International Conference on Data Science, Technology and Applications
CONF-CDS 2022   The 4th International Conference on Computing and Data Science (CONF-CDS) Call for Papers
DSAA 2022   9th IEEE International Conference on Data Science and Advanced Analytics