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 …

Modeling two-way selection preference for person-job fit

C Yang, Y Hou, Y Song, T Zhang, JR Wen… - Proceedings of the 16th …, 2022‏ - dl.acm.org
Person-job fit is the core technique of online recruitment platforms, which can improve the
efficiency of recruitment by accurately matching the job positions with the job seekers …

Reciprocal recommendation system for online dating

P **a, B Liu, Y Sun, C Chen - Proceedings of the 2015 IEEE/ACM …, 2015‏ - dl.acm.org
Online dating sites have become popular platforms for people to look for potential romantic
partners. Different from traditional user-item recommendations where the goal is to match …

Personalized attraction recommendation system for tourists through check-in data

K Kesorn, W Juraphanthong, A Salaiwarakul - IEEE access, 2017‏ - ieeexplore.ieee.org
Online social networks now play a prominent role in our daily lives and our decisions and
behaviors in many areas. Of particular interest here is the application of social network data …

Reciprocal sequential recommendation

B Zheng, Y Hou, WX Zhao, Y Song, H Zhu - Proceedings of the 17th …, 2023‏ - dl.acm.org
Reciprocal recommender system (RRS), considering a two-way matching between two
parties, has been widely applied in online platforms like online dating and recruitment …

Leveraging opposite gender interaction ratio as a path towards fairness in online dating recommendations based on user sexual orientation

Y Zhao, Y Wang, Y Zhang, P Wisniewski… - Proceedings of the …, 2024‏ - ojs.aaai.org
Online dating platforms have gained widespread popularity as a means for individuals to
seek potential romantic relationships. While recommender systems have been designed to …

Optimizing rankings for recommendation in matching markets

Y Su, M Bayoumi, T Joachims - … of the ACM Web Conference 2022, 2022‏ - dl.acm.org
Based on the success of recommender systems in e-commerce and entertainment, there is
growing interest in their use in matching markets like job search. While this holds potential …

Providing explanations for recommendations in reciprocal environments

A Kleinerman, A Rosenfeld, S Kraus - … of the 12th ACM conference on …, 2018‏ - dl.acm.org
Automated platforms which support users in finding a mutually beneficial match, such as
online dating and job recruitment sites, are becoming increasingly popular. These platforms …

[HTML][HTML] A recommendation mechanism for under-emphasized tourist spots using topic modeling and sentiment analysis

W Shafqat, YC Byun - Sustainability, 2019‏ - mdpi.com
With rapid advancements in internet applications, the growth rate of recommendation
systems for tourists has skyrocketed. This has generated an enormous amount of travel …

Who2chat: a social networking system for academic researchers in virtual social hours enabling coordinating, overcoming barriers and social signaling

S Park, J Song, DR Karger, TW Malone - Proceedings of the ACM on …, 2024‏ - dl.acm.org
Virtual academic networking is socio-technically challenging, however, fruitful for
researchers' success. We introduce a system called Who2chat to tackle the challenge and …