CALL FOR PAPERS
International Workshop on Children & Recommender Systems (KidRec): https://kidrec.github.io
To be held in Como (Italy). Co-located with ACM RecSys 2017: https://recsys.acm.org/recsys17
June, 22th, 2017 Paper submission deadline
July, 13th, 2017 Notification to authors
July, 27th, 2017, Camera-Ready Version
August, 27th-31st, 2017, KidRec Workshop, RecSys Conference
Jerry Alan Fails (Boise State University, USA)
Sole Pera (Boise State University, USA)
Franca Garzotto (Politecnico di Milano, Italy)
Mirko Gelsomini (Politecnico di Milano, Italy)
Objectives & Topics:
Recommender systems (RS) for children are only recently beginning to be studied and are primarily limited to recommenders in education-related environments. When focused on this particular audience, the role of a recommendation system needs to be reformulated, as it is not sufficient for recommenders to identify items that match users’ preferences and interests. Instead, it is imperative that they also explicitly consider children’s needs from multiple perspectives: educational, developmental, and engagement, to name a few. Considering these particular needs opens a rich set of questions to answer:
– What are the benefits of child-specific recommendations?
– What role does personal history, age, developmental stage, or even curricular standards have in RS for children?
– What are the goals of RS for children: persuade, educate, guide, and support their well-being, or something else entirely?
– What are the ethical or privacy challenges associated with this type of recommendation? What are the domains in which recommendations make sense for children? Are they the same as for adults?
– How should we model personalization given that traditional mechanisms of explicit feedback, writing reviews, and purchasing items (directly) do not match this particular population whose literacy levels are growing and who generally do not directly have the ability to purchase items?
– Are their specifics concern, from the point of view of developing technology that should be considered? In addition, the interests and needs of this population is rapidly evolving, as they are still refining their interests as they get to know new things, and enhance their educational context.
The goal of this interactive workshop is to share and discuss research and projects that reach beyond classic recommender techniques and discuss health domain related challenges of recommender systems. We invite submissions related to recommender systems for children including topics on:
– Technology for children
– Recommender algorithms for children
– Recommendation explanations, transparency,
– Expert-in-the-Loop (e.g., teacher, parent)
– Child-centered content domains (e.g., leisure, education)
– User Profiling
We invite short papers (4 pages) discussing novel work in progress and position papers (2 pages) focusing on open challenges in promising research directions as well as speculative or innovative work in progress. All papers will be peer-reviewed, must not be under review in any other conference, workshop or journal (at the time of submission).
All submitted papers must:
– Be written in English;
– Contain author names, affiliations, and email addresses;
– Be formatted according to the ACM SIG Proceedings Template with a font size no smaller than 9pt;
– Be a PDF , and formatted for US Letter size;
– Be submitted via the EasyChair submission page: http://easychair.org/conferences/?conf=kidrec2017
Authors will retain the copyright of their submission, however, proceedings will be publicly posted http://ceur-ws.org or via Scholarworks. We are also working on coordinating a special issue in a journal where accepted authors will be invited to submit an extension of their work for publication.
RecSys 2017 will be hosted in Como, Italy, at the Teatro Sociale di Como from August 27-31, 2017. Please visit the RecSys 2017 website for more information about this location: https://recsys.acm.org/recsys17/location/
If you have questions regarding the workshop, do not hesitate to contact the workshop chairs email@example.com