Abstract:
We introduce Recommender-Systems.com (RS_c) as a central platform for the recommender-systems community. RS_c provides regular news on important events in the community as well as curated lists of recommender-system resources including datasets, algorithms, jobs, software, and learning materials. Based on a survey with 28 participants – mostly authors at the RecSys 2019 conference – 91% agree that RS_c could be a major contribution to the community. Participants consider it currently particularly difficult to find best practice guidelines (45%); researchers, freelancers and employers (45%); and curated lists of state-of-the-art algorithms, software, and datasets (36%). Notably, only 19% consider it (very) easy to find material relating to diversity, equality and anti-discrimination.
