Summer Schools
A great opportunity to learn about recommender systems and build your network are summer schools. Unfortunately, there are only few summer schools on recommender systems and rather infrequently (If you know of other recommender-system summer schools, please let us know).
ACM Summer School on Recommender Systems
The ACM Conference on Recommender Systems occasionally has a summer school prior to the main conference and in addition to a doctoral consortium.
2019 https://acmrecsys.github.io/rsss2019/
2017 https://recsys.acm.org/recsys17/summer-school/
2012 https://www.is-link.org/schools/summer-school/2012/klagenfurt
ACM Latin American School on Recommender Systems (LARS 2019)
2019 http://sbbd.org.br/lars2019/
Machine Learning, Information Retrieval, Statistics etc. Summer Schools
While the number of recommender-systems summer schools is limited, we would recommend considering some of the various summer schools on related topics like machine learning, data mining, or statistics. Many top universities and other organizations offer such summer schools. While we have no particular recommendations, Google may help you:
Machine Learning Summer Schools: https://www.google.com/search?q=machine+learning+summer+school
Statistics Summer Schools: https://www.google.com/search?q=statistics+summer+school
Data Mining Summer Schools: https://www.google.com/search?q=Data%20Mining%20Summer%20Schools
Information Retrieval Summer Schools https://www.google.com/search?q=Information%20Retrieval%20Summer%20Schools
Latest News On Summer Schools
SIGIR 2020 Summer School Programme Online
SIGIR provides a great summer school this year with interesting talks about personalized search, offline evaluation of information retrieval (IR) systems and many more. https://sigir.org/sigir2020/summer-school/
Free ‘Resource-aware Machine Learning’ summer school in Dortmund, Germany (virtually)
The International Summer School on resource-aware Machine Learning brings together lectures from the research area of data analysis (Machine Learning, data mining, statistics) and embedded systems (cyber-physical systems). It aims at taking into account the constraint of limited resources of host devices used for data analysis. The lectures are held by leading experts in these […]