(Apologies for cross-posting)
New call for papers after the extension of the submission deadlines of SAC 2020
35th Annual ACM Symposium on Applied Computing
Track on Recommender Systems: Theory and Applications (RS)
Brno, Czech Republic
March 30-April 3, 2020
With the development of informationtechnologies, human beings are increasingly flooded or overloaded with information resulting into problems like low user experience or inability to make decisions. Recommender systems (RecSys) have proven to be helpful in alleviating this information overload problem, providing personalized services and assisting users? decision making. The basic idea behind RecSys is to infer users? tastes from their past behaviors (such as user ratings, purchases, reviews, click-throughs, etc) and make personal propositions based on these user models. RecSys have been widely applied in a number of areas, including eCommerce (e.g., Amazon, eBay), movies (e.g., Netflix, Moviepilot), music (e.g., Pandora, Spotify), news (e.g., Yahoo news), tags (e.g., Flickr), social media (e.g., Twitter), online education (e.g., Coursera), and so forth.
The development of RecSys promotes various research topics, such as user interaction and interfaces, algorithm design and evaluation, computational efficiency, or explanations of recommendations. As a field of applied computer science, RecSys receives contributions from an array of areas, including Artificial Intelligence, Human Computer Interaction, Data Science, Decision Support Systems, Marketing, etc.
This track aims to provide a dedicated forum to researchers in RecSys and other applied computing areas for discussing open research problems, recent challenges, novel applications and innovative approaches. The ACM Conference on Recommender Systems (ACM RecSys) and ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP) are two premier conferences held regularly towards the topic of personalization and recommender systems. In addition to these two conferences with submission deadlines in spring, our track (proposed now already for fourth year in a row) was able to attract a solid number of good quality submissions (22 for SAC?19, 37 for SAC?18 and 43 for SAC?17) from a wide range of applied computer scientists in late summer/autumn. We therefore hope to continue working on this track and contribute our efforts to both the ACM SAC conference and the research community in recommender systems as a whole.
Topics of Interest (but not limited to)
˙ Conversational recommender systems
˙ Context-aware/Trust-based/Group/Social/Mobile and multi-channel recommenders
˙ Recommendation explanations
˙ New recommender applications
˙ Data mining and machine learning for development
˙ Novel paradigms, Theoretical foundations
˙ Preference elicitation
˙ Privacy and security issues in recommender systems
˙ Recommendation algorithms, Algorithm scalability, Evaluation metrics and studies
˙ Semantic technologies for recommendation
˙ User modeling in recommender systems
˙ User interface design
˙ Empirical user studies
˙ Recommender systems based on users? individual characteristics and differences, such as personality, emotion and decision making style
We accept three types of submissions:
Full papers are expected to present original research work which should report on substantial contributions of lasting value. The submission should be limited to a maximum of 10 pages: 8 pages (included in the conference registration) + up to 2 additional pages (at extra charge, $80 USD per page).
Posters may discuss exciting new work that is not yet mature, or open challenges in promising research directions. The submission should be limited to a maximum of 4 pages: 3 pages (included in the conference registration) + up to 1 additional page (at extra charge, $80 USD per page).
Student Research Competition(SRC) Program: Graduate students are invited to submit 4-page research abstracts following the instructions published at SAC website. Submission of the same abstract to multiple tracks is not allowed. All research abstract submissions will be reviewed by researchers and practitioners with expertise in the track focus area to which they are submitted. Authors of selected abstracts will have the opportunity to give poster presentations of their work and compete for three top-winning places. The SRC committee will evaluate and select First-, Second-, and Third- place winners. The winners will receive cash awards and SIGAPP recognition certificates during the conference banquet. Authors of selected abstracts will receive SRC travel support ($500 USD), and they are eligible to apply to the SIGAPP Student Travel Award program for support. More information about SRC submission, you should refer to the ACM SAC 2020 website. Note: SRC abstracts must be authored by students only. Faculty advisor(s) cannot be listed as authors on the submission or on the final poster presentation. No group projects are allowed.
Each submitted paper will undergo a blind review process by several referees.
To ease blind review, *you shall remove author names* and any information
that might discourage authors' identity from your paper before submitting it.
Accepted papers in all categories will be published in the ACM SAC 2020 proceedings.
Proceedings and Post-Proceedings
Papers/poster accepted for the Recommender Systems (RS) track will be published by
ACM both in the SAC 2020 proceedings and in the ACM Digital Library, which ensures excellent visibility.
Paper/poster registration is required, allowing the inclusion of the
paper/poster in the conference proceedings. An author or a proxy
attending SAC MUST present the work: This is a requirement for the
paper/poster to be included in the ACM/IEEE digital library. No-show
of scheduled papers and posters will result in excluding them from the
ACM/IEEE digital library.
- Submission deadline: September 15 -> September 29
- Notification deadline: November 10 -> November 24
- Camera-ready deadline: November 25 -> December 9
December 10, 2019: Authors Registration due
Markus Zanker, Free University of Bolzano, Italy ([log in to unmask])
Panagiotis Symeonidis, Free University of Bolzano, Italy ([log in to unmask])
Yong Zheng, Illinois Institute of Technology, Chicago, USA ([log in to unmask])
Markus Zanker is an associate professor at the Faculty of Computer Science of the Free University of Bozen-Bolzano. He was general co-chair of the 9th ACM conference on Recommender Systems in Vienna in 2015 and program co-chair of the 4th ACM conference on Recommender Systems in Barcelona in 2010. Recently, he organized the ACM Summer School on Recommender Systems in Bolzano in 2017 and was chairing the steering committee of the ACM RecSys conference series for two years. For a short bio see https://webservices.scientificnet.org/rest/uisdata/api/v1/people/3466/cv and for publications see the Scholar profile https://scholar.google.com/citations?user=byE_7C8AAAAJ&hl=en&oi=ao.
Panagiotis Symeonidis is an assistant professor at the Faculty of Computer Science of the Free University of Bozen-Bolzano. He published three books and several journals on topics like Matrix and Tensor Factorization or Graph Mining. In addition, he serves on the editorial board member of Springer?s Information Technology & Tourism. For a short bio see https://webservices.scientificnet.org/rest/uisdata/api/v1/people/37277/cv and for publications see the Scholar profile https://scholar.google.com/citations?user=ppnPt2MAAAAJ&hl=en.
Yong Zheng is an assistant professor at the Department of Information Technology and Management, School of Applied Technology, Illinois Institute of Technology, Chicago, USA. Besides chairing the Recommender Systems track of ACM SAC over the past years he also organized specialized workshops on knowledge transfer and learning in conjunction with the ACM conference on Recommender Systems as well as various other co-organizing roles for important conferences and reviewing for journals in the field. For a short bio see http://yongzheng.me/ and for publications see the Scholar profile https://scholar.google.com/citations?user=0FENWMcAAAAJ&hl=en.
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