An Attention-Based Latent Information Extraction Network (ALIEN) for High-Order Feature Interactions

An Attention-Based Latent Information Extraction Network (ALIEN) for High-Order Feature Interactions

One of the primary tasks for commercial recommender systems is to predict the probabilities of users clicking items, e.g., advertisements, music and products. This is because such predictions have a decisive impact on profitability. The classic recommendation algorithm, collaborative filtering (CF),...

Full description

Bibliographic Details
Main Authors: Ruo Huang, Shelby McIntyre, Meina Song, Haihong E, Zhonghong Ou
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
recommender systems
collaborative filtering
click-through rate prediction
high-order feature interactions
attention mechanism
explainable recommendation
Online Access:https://www.mdpi.com/2076-3417/10/16/5468

Internet

https://www.mdpi.com/2076-3417/10/16/5468

Similar Items