B Xia, J Yin, J Xu, Y Li - Knowledge-Based Systems, 2019 - Elsevier
The emergence of online dating and recruiting platforms brings big challenges to the reciprocal recommendation which has attracted a lot of research attention. Most previous …
Recently, the reciprocal recommendation, especially for online dating applications, has attracted increasing research attention. Different from the conventional recommendation …
Online dating is a prime application area for recommender systems, as users face an abundance of choice, must act on limited information, and are participating in a competitive …
A Alanazi, M Bain - 2nd Int. Work. Mach. Learn. Methods …, 2016 - doogkong.github.io
Most existing reciprocal recommender systems use either profile similarity or interaction similarity to recommend new matches, assuming that user preferences are static and …
This paper reports on the successful deployment of a peopleto-people recommender system in a large commercial online dating site. The deployment was the result of thorough …
Le domaine de la recommandation de personne à personne comporte de multiples applications, mais il demeure moins bien étudié que celui de la recommandation de …
This paper presents a new probabilistic generative model (PGM) that predicts links for isolated nodes in a heterogeneous network using textual data. In conventional PGMs, a link …