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.
ACM Latin American School on Recommender Systems (LARS 2019)
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
At this minute, the AutoML Workshop 2021 at the ICML conference is running. And one of the organizers, Frank Hutter, announced an AutoML Summer School and the first dedicated AutoML Conference (no website yet). In other words, the AutoML community is growing up. While we report in this blog about recommender systems, AutoML is also […]
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/
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 […]