PERS 2023: Personalization and Recommender Systems Barcelone, Spain, September 4, 2023 |
Conference website | https://pers.lasd.pl |
Submission link | https://easychair.org/conferences/?conf=pers2023 |
Submission deadline | April 24, 2023 |
Author notification | May 29, 2023 |
Camera-ready copies of accepted papers | June 9, 2023 |
About
The objective of PeRS is to extend the state-of-the-art in Personalization and Recommender Systems by providing a platform at which industry practitioners and academic researchers can meet and learn from each other. We are interested in high quality submissions from both industry and academia on all topics related to Personalization and Recommender Systems.
Conference Topics
- Personalization
- User Profiles
- Ontology-based user models
- Personalized systems
- Recommender Systems approaches
- Collaborative Recommender Systems
- Semantic-based Recommender Systems
- Context-aware Recommender Systems
- Cross-domain Recommender Systems
- Machine Learning techniques for Recommender Systems
- Association Rules
- Clustering methods
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Applicationa of Recommender Systems methods
- News recommendations
- Tourism recommendations
- Fashion recommendations
- Podcasts recommendations
- Medical recommendations
- Other domain-specific recommenders
- Evaluation of Recommender Systems
- Metrics
- Evaluation studies
- Reproducibility of existing methods
Paper Submission
We invite research papers in two categories: Full Papers (up to 12 pages), and Short Papers (up to 8 pages). Papers must be in English and present original, not already published research. Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers.
Accepted papers will be published by Springer in Communications in Computer and Information Science (CCIS). CCIS volumes are made available to the following indexing services: Web of Science; Scopus, EI Engineering Index; ACM Digital Library; DBLP; Google Scholar.
Workshop Chairs
- Aleksandra Karpus, Gdańsk University of Technology, Poland, alekarpu@pg.edu.pl
- Tommaso di Noia, Politechnic University of Bari, Italy, tommaso.dinoia@poliba.it
- Adam Przybyłek, Gdańsk University of Technology, Poland, adam.przybylek@gmail.com