Work

When Less is Enough: Optimizations for Low-Cost Recommendation Systems

Year: 2025

Type: conference-paper

Abstract: Social media platforms rely heavily on ad revenue, making cost-efficient recommendation systems essential for sustaining profitability while preserving user satisfaction, especially in regions with low Average Revenue Per User (ARPU).

Source: International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI: 10.1145/3726302.3730267

Authors: Md Danish Kalim, Deepanshu Hardaha, Shivansh Joshi

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4412376971

FWCI: 1.215

Cites: 4

Cited by: 1

Related to: 10