Study & Learn
Recommender-Systems Text Books
If you're new to the field of recommender systems, starting with a textbook is often a good approach. Textbooks provide a structured and comprehensive overview of key concepts, algorithms, and applications. Below, we recommend four core textbooks that serve as excellent introductions to recommender systems. Table of Contents ToggleStandard Text Books on Recommender Systems1. Recommender...
Summer Schools
Table of Contents ToggleWhat is a Summer School?Objectives of a Summer SchoolStructure of a Summer SchoolHow a Summer School Differs from a Doctoral ConsortiumWhy Participating in a Summer School is ImportantWhy Relying on Self-Study Isn’t EnoughWhy Participate?Summer Schools for Recommender-Systems ResearchACM Summer School on Recommender SystemsACM Latin American School on Recommender Systems (LARS 2019)Machine Learning,...
Online Courses On Recommender Systems
Online courses about recommender systems offer a more engaging and interactive learning experience compared to traditional textbooks. On this page, you’ll find a curated list of available recommender-system courses, with descriptions sourced directly from the respective MOOC platforms. Coursera Recommender Systems Specialization This course is offered by Joseph A. Konstan and Michael D. Ekstrand, two...
Blogs & News
We are not aware of any other blogs or news websites that have a strong focus on recommender systems. Besides RS_c, your best option for news relating to recommender systems is probably Twitter and the hashtag #recsys, and for a more academic focus creating alerts and conducting regular searches on Google Scholar, SemanticScholar, ResearchGate, and...
Bachelor & Master programs
Sadly, we are not aware of any Bachelor or Master programs that specialize in recommender systems (Do you know any? Let us know!). If you have a strong interest in recommender systems, then your best bet would be a university at which a relatively large number of faculty specialize in recommender systems. They likely will...
Project Ideas for Bachelor/Master/PhD theses
The key to a successful Bachelor's, Master's and Ph.D. thesis is an interesting topic. Ideally, your supervisor has an inspiring idea, but if not, free to browse through the following ideas. If you choose one of the ideas, please attribute the author of the idea when writing your thesis. Also, have a look at our...
Wikis & Curated Collections
There are a few sources on the Web where you find great collections of datasets, code, and advice. Some of them are listed here, let us know if something is missing. Microsoft Recommenders A nice and relatively recent collection of recommender-system tools and best practice guidelines maintained by different persons at Microsoft. To the best...
Tutorials & 101’s
Recommender systems have gained widespread attention in the research community, and as a result, there is a vast number of tutorials and introductory resources available online. A quick search on Google reveals hundreds, if not thousands, of tutorials designed to guide students, researchers, and developers through the core concepts and methodologies of building recommender systems....
Case Studies & Lessons Learned
Case studies in recommender systems provide valuable insights into the practical application of theoretical models and algorithms, allowing researchers and practitioners to understand how these systems perform in real-world settings. By examining specific implementations, such as those used by Amazon, Netflix, or Spotify, we can identify the strengths, limitations, and challenges associated with different recommendation...
Certificates
While many online courses like Coursera issue a certificate after completion of a module, there are also "more advanced" certificates in some areas. For instance, Google offers a "Professional Machine Learning Engineer" certificate and so does Amazon AWS Machine Learning. However, we are not aware of any Recommender System Certificate. Are you? Let us know!