Can I read A First Principles Approach to Trust-Based Recommendation Systems in Social Networks on EtoBox?

A First Principles Approach to Trust-Based Recommendation Systems in Social Networks by Stefanopoulos, Paras; Chatterjee, Sourin; Zehmakan, Ahad N. is a scholarly article available to read on EtoBox.

What is A First Principles Approach to Trust-Based Recommendation Systems in Social Networks about?

This paper explores recommender systems in social networks which leverage information such as item rating, intra-item similarities, and trust graph. We demonstrate that item-rating information is more influential than other information types in a collaborative filtering approach. The trust graph-based approaches were found to be more robust to network adversarial attacks due to hard-to-manipulate trust structures. Intra-item information, although sub-optimal in isolation, enhances the consistency of predictions and lower-end performance when fused with other information forms. Additionally, the Weighted Average framework is introduced, enabling the construction of recommendation systems around any user-to-user similarity metric. All the codes are publicly available on GitHub.

Author

Stefanopoulos, Paras; Chatterjee, Sourin; Zehmakan, Ahad N.

Published

2024

Language

EN