RecSysWiki is a comprehensive open platform dedicated to fostering knowledge about recommender systems. It serves as a collaborative space for researchers, practitioners, and enthusiasts to explore a variety of topics related to recommendation technology. The wiki aims to provide concise and informative articles that define key terms and concepts commonly found in recommender systems literature, with links to existing academic papers and resources.

Users can find detailed insights on various algorithms, evaluation measures, datasets, and prevalent issues in the field, such as the Cold-Start Problem and the Harry Potter Effect. Additionally, the platform features information on both academic and commercial recommender systems, alongside dedicated sections for conferences, workshops, and research groups.

RecSysWiki invites active participation from the community, encouraging users to contribute their knowledge and experiences. With its focus on open research resources and free/open-source software, RecSysWiki is an essential hub for anyone interested in advancing their understanding of recommender systems and their applications.