- Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development. Fumi Kawasaki, Shota Kishi, James Neve. ENASE 2024.
- Advancing the field of content-based and collaborative filtering reciprocal recommender systems. James Neve. PhD Thesis 2022.
- Photos Are All You Need for Reciprocal Recommendation in Online Dating. James Neve, Ryan McConville. ArXiV 2021.
- Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation. Ivan Palomares, James Neve, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma. Information Fusion 2021.
- ImRec: Learning Reciprocal Preferences Using Images. James Neve, Ryan McConville. ACM Recsys 2020.
- Hybrid Reciprocal Recommender Systems: Integrating Item-to-User Principles in Reciprocal Recommendation. James Neve, Ivan Palomares. WebConf 2020.
- Aggregation Strategies in User-to-User Reciprocal Recommender Systems. James Neve, Ivan Palomares. IEEE SMC 2019.
- Group Decision Making with Collaborative-Filtering ‘in the loop’: interaction-based preference and trust elicitation. Ercan Ezin, Ivan Palomares, James Neve. ACM Recsys 2019.
- Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems. James Neve, Ivan Palomares. ACM Recsys 2019.
- Arikui - A Dubious User Detection System for Online Dating in Japan. James Neve, Ivan Palomares. IEEE SMC 2018.
