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2020 – today
- 2024
[c7]Kawasaki Fumitake, Shota Kishi, James Neve:
Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development. ENASE 2024: 450-457- [i2]Kawasaki Fumitake, Shota Kishi, James Neve:
Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development. CoRR abs/2405.06164 (2024) - 2021
- [j1]Iván Palomares, James Neve, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma:
Corrigendum to "Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation" Information Fusion Volume 69 (2020) 103-127. Inf. Fusion 75: 101 (2021) - [i1]James Neve, Ryan McConville:
Photos Are All You Need for Reciprocal Recommendation in Online Dating. CoRR abs/2108.11714 (2021) - 2020
- [c6]James Neve, Ryan McConville
:
ImRec: Learning Reciprocal Preferences Using Images. RecSys 2020: 170-179 - [c5]James Neve, Iván Palomares:
Hybrid Reciprocal Recommender Systems: Integrating Item-to-User Principles in Reciprocal Recommendation. WWW (Companion Volume) 2020: 848-854
2010 – 2019
- 2019
- [c4]James Neve, Ivan Palomares:
Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems. RecSys 2019: 219-227 - [c3]James Neve, Ivan Palomares:
Aggregation Strategies in User-to-User Reciprocal Recommender Systems. SMC 2019: 4031-4036 - [c2]Ercan Ezin, Iván Palomares, James Neve:
Group Decision Making with Collaborative-Filtering 'in the loop': interaction-based preference and trust elicitation. SMC 2019: 4044-4049 - 2018
- [c1]James Neve, Ivan Palomares:
Arikui - A Dubious User Detection System for Online Dating in Japan. SMC 2018: 2299-2304
Coauthor Index
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