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Enhancing Personalisation in Fantasy Sports with Graph-Based Representations

Year: 2025

Type: conference-paper

Abstract: In this paper, we propose a technique that leverages graph-based representation learning using the GraphSAGE algorithm to furnish diverse personalized communications tailored to each user's unique engagement patterns within the fantasy sports ecosystem.By curating such personalized user suggestions, we promote diverse user engagement that is more customer centric while maintaining business metrics.We perform offline and online experiments to evaluate the effectiveness of our approaches concerning their impact on different user engagement and business metrics.

Source: ACM Conference on User Modeling, Adaptation and Personalization (UMAP)

DOI: 10.1145/3699682.3730974

Authors: Anupam Agrawal, Jil Kothari, Siddhesh Chaubal, Palash Tatte

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4411279670

FWCI: 1.215

Cites: 10

Cited by: 1

Related to: 10