Showing cs.IRShow all
2 papers · 1 filter
cs.IR2025
Counterfactual Reciprocal Recommender Systems for User-to-User Matching
Kazuki Kawamura, Takuma Udagawa, Kei Tateno
Reciprocal recommender systems (RRS) in dating, gaming, and talent platforms require mutual acceptance for a match. Logged data, however, over-represents popular profiles due to pa…
cs.IR2024
Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems
Kento Nakada, Kazuki Kawamura, Ryosuke Furukawa
Reciprocal recommender systems (RRSs) are crucial in online two-sided matching platforms, such as online job or dating markets, as they need to consider the preferences of both sid…