Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation

I Palomares, C Porcel, L Pizzato, I Guy… - Information …, 2021 - Elsevier
There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …

WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium

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 …

DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating

L Luo, X Zhang, X Chen, K Liu, D Peng… - Neural Computing and …, 2022 - Springer
Recently, the reciprocal recommendation, especially for online dating applications, has
attracted increasing research attention. Different from the conventional recommendation …

A deployed people-to-people recommender system in online dating

W Wobcke, A Krzywicki, YS Kim, X Cai, M Bain… - AI Magazine, 2015 - ojs.aaai.org
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 …

[PDF][PDF] A scalable people-to-people hybrid reciprocal recommender using hidden Markov models

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 …

Evaluation and deployment of a people-to-people recommender in online dating

A Krzywicki, W Wobcke, YS Kim, X Cai… - Proceedings of the …, 2014 - ojs.aaai.org
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 …

[图书][B] Sur l'utilisation de réseaux de neurones dans un système de recommandations réciproques

A Lefebvre-Brossard - 2018 - search.proquest.com
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 …

Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering

K Tomobe, M Oyamada, S Nakadai - … and Data Mining: 21st Pacific-Asia …, 2017 - Springer
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 …