Recommender Systems in Financial Trading: Using machine-based conviction analysis in an explainable AI investment framework

By Alicia Vidler

Published 2024-04-17

Everscope rating

864.9

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

2 / 5

About this paper

Methodology: Knowledge-based recommendation systems. Problem types: Recommender Systems, Portfolio Optimization, Risk Management.

arXiv:2404.11080 · Paper rankings

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