| Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems J Neve, I Palomares Proceedings of the 13th ACM conference on recommender systems, 219-227, 2019 | 37 | 2019 |
| Hybrid reciprocal recommender systems: Integrating item-to-user principles in reciprocal recommendation J Neve, I Palomares Companion Proceedings of the Web Conference 2020, 848-853, 2020 | 16 | 2020 |
| Aggregation strategies in user-to-user reciprocal recommender systems J Neve, I Palomares 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 15 | 2019 |
| ImRec: Learning reciprocal preferences using images J Neve, R McConville Proceedings of the 14th ACM Conference on Recommender Systems, 170-179, 2020 | 13 | 2020 |
| Group decision making with collaborative-filtering ‘in the loop’: interaction-based preference and trust elicitation E Ezin, I Palomares, J Neve 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 6 | 2019 |
| Arikui - A Dubious User Detection System for Online Dating in Japan J Neve, I Palomares IEEE SMC 2018, 2018 | 5 | 2018 |
| Advancing the field of content-based and collaborative filtering reciprocal recommender systems JO Neve University of Bristol, 2022 | 1 | 2022 |
| Corrigendum to “Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation” Information Fusion Volume 69 … I Palomares, J Neve, C Porcel, L Pizzato, I Guy, E Herrera-Viedma Information Fusion 75, 101, 2021 | 1 | 2021 |
| Photos Are All You Need for Reciprocal Recommendation in Online Dating J Neve, R McConville arXiv preprint arXiv:2108.11714, 2021 | | 2021 |
Ryan McConvilleUniversity of BristolVerified email at bristol.ac.uk
