Welcome to RS_c, the central platform for the RecSys community. We provide curated lists of recommender-systems datasets, algorithms, books, conferences and many resources more. Maybe most importantly, we publish the latest recommender-system news. If you want your news to be reported on RS_c, read here.
“What are state-of-the-art recommendation algorithms?” is a question that should be a no-brainer to answer for any recommender-system researcher and developer. However, the answer is typical “I don’t know, at least not for sure”.
“6 of [the algorithms could] often be outperformed with comparably simple heuristic methods, e.g., based on nearest-neighbor or graph-based techniques. The remaining one clearly outperformed the baselines but did not consistently outperform a well-tuned nonneural linear ranking method.“