Search Results for author: James Neve

Found 2 papers, 0 papers with code

Skeet: Towards a Lightweight Serverless Framework Supporting Modern AI-Driven App Development

no code implementations10 May 2024 Kawasaki Fumitake, Shota Kishi, James Neve

The field of web and mobile software frameworks is relatively mature, with a large variety of tools in different languages that facilitate traditional app development where data in a relational database is displayed and modified.

Cloud Computing Position

Photos Are All You Need for Reciprocal Recommendation in Online Dating

no code implementations26 Aug 2021 James Neve, Ryan McConville

Reciprocal Recommenders are a subset of recommender systems, where the items in question are people, and the objective is therefore to predict a bidirectional preference relation.

Collaborative Filtering Recommendation Systems

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