User Embedding for Rating Prediction in SVD++-Based Collaborative Filtering

User Embedding for Rating Prediction in SVD++-Based Collaborative Filtering

The collaborative filtering algorithm based on the singular value decomposition plus plus (SVD++) model employs the linear interactions between the latent features of users and items to predict the rating in the recommendation systems. Aiming to further enrich the user model with explicit feedback,...

Full description

Bibliographic Details
Main Authors: Wenchuan Shi, Liejun Wang, Jiwei Qin
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Symmetry
Subjects:
recommendation system
rating prediction
svd++
user embedding
Online Access:https://www.mdpi.com/2073-8994/12/1/121

Internet

https://www.mdpi.com/2073-8994/12/1/121

Similar Items