Memory bank augmented long-tail sequential recommendation
The goal of sequential recommendation is to predict the next item that a user would like to
interact with, by capturing her dynamic historical behaviors. However, most existing …
interact with, by capturing her dynamic historical behaviors. However, most existing …
A general tail item representation enhancement framework for sequential recommendation
Recently advancements in deep learning models have significantly facilitated the
development of sequential recommender systems (SRS). However, the current deep model …
development of sequential recommender systems (SRS). However, the current deep model …
Towards trustworthy recommenders: building explainable and unbiased recommendation systems
Y Hu - 2024 - dr.ntu.edu.sg
The explosively increasing online content, such as exposure on e-commerce platforms (eg,
Amazon and Taobao), makes it very difficult for users to choose suitable items or information …
Amazon and Taobao), makes it very difficult for users to choose suitable items or information …
Makine Öğrenimi ile Uzun Kuyruk Ürünler için İyileştirilmiş Sonraki Öğe Önerisi
A Zencirli, H Çetin, N Tuğ, E Seven… - International Journal of …, 2022 - dergipark.org.tr
Elektronik ticaret platformlarında birçok farklı ürün türü müşterilerin nerede olduklarından
bağımsız olarak satılabilmektedir. Bu platformlarda bulunan öneri sistemi kullanıcılar için ilgi …
bağımsız olarak satılabilmektedir. Bu platformlarda bulunan öneri sistemi kullanıcılar için ilgi …