3 papers
cs.LG2026
Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation
Yaoyiran Li, Haowen Ning, Mohamed Hammad
Industrial sequential recommender systems operate over massive item catalogs (e.g., 10^5--10^7 items). Multi-label recommendation models are trained with Binary Cross-Entropy (BCE)…
cs.IR2024
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
Yaoyiran Li, Xiang Zhai, Moustafa Alzantot +4
Traditional recommender systems such as matrix factorization methods have primarily focused on learning a shared dense embedding space to represent both items and user preferences.…
cs.DL2023
Criteria and Tips for Choosing Suitable Journal for Your Paper
Mohamed Hammad
Selecting the right journal for your research paper is a pivotal decision in the academic publishing journey. This paper aims to guide researchers through the process of choosing a…