no code implementations • 25 Sep 2023 • Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina
Our proposed framework is designed to enrich training examples with active users representation through upsampling, and capable of learning geographic-based user embeddings by leveraging MTL.
no code implementations • 24 Sep 2023 • Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen
Current multi-armed bandit approaches in recommender systems (RS) have focused more on devising effective exploration techniques, while not adequately addressing common exploitation challenges related to distributional changes and item cannibalization.
no code implementations • 22 Sep 2021 • Jianling Wang, Ainur Yessenalina, Alireza Roshan-Ghias
Online video services acquire new content on a daily basis to increase engagement, and improve the user experience.