作者位次 #2/4SIGIR 2026Oral· Information Retrieval (Industry)
Improving Dating Outcomes by Predicting for Conversations at Hinge
Frankie Lu · Dan Turkel · Sihan Chen · Behrooz Afghahi
摘要
The ultimate measure of success for a dating platform is helping people go on in-person dates. In practice, ranking systems for such platforms rely on observable proxies, such as likes and matches, to predict whether an in-person date will occur. This paper introduces conversations, when both use...