Deep Contextual Grid Triplet Network for Context-Aware Recommendation
Modeling contextual information is a vital part of developing effective recommender systems. Still, existing work on recommendation algorithms has generally put limited focus on the effective treatment of contextual information. Moreover, adding context to recommendation models is challenging since...
Main Authors: | Sofia Aftab, Heri Ramampiaro, Helge Langseth, Massimiliano Ruocco |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10241286/ |
Similar Items
-
Improving top-N recommendations using batch approximation for weighted pair-wise loss
by: Sofia Aftab, et al.
Published: (2024-03-01) -
Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias
by: Mario Casillo, et al.
Published: (2022-03-01) -
Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm
by: Misbah Iqbal, et al.
Published: (2019-01-01) -
DyCARS: A dynamic context-aware recommendation system
by: Zhiwen Hou, et al.
Published: (2024-02-01) -
Deep Learning-Based Context-Aware Recommender System Considering Contextual Features
by: Soo-Yeon Jeong, et al.
Published: (2021-12-01)