arXiv Open Access 2021

Multi-Objective Recommendations: A Tutorial

Yong Zheng David Wang
Lihat Sumber

Abstrak

Recommender systems (RecSys) have been well developed to assist user decision making. Traditional RecSys usually optimize a single objective (e.g., rating prediction errors or ranking quality) in the model. There is an emerging demand in multi-objective optimization recently in RecSys, especially in the area of multi-stakeholder and multi-task recommender systems. This article provides an overview of multi-objective recommendations, followed by the discussions with case studies. The document is considered as a supplementary material for our tutorial on multi-objective recommendations at ACM SIGKDD 2021.

Topik & Kata Kunci

Penulis (3)

Y

Yong Zheng

David

Wang

Format Sitasi

Zheng, Y., David, Wang (2021). Multi-Objective Recommendations: A Tutorial. https://arxiv.org/abs/2108.06367

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓