CMBF: Cross-Modal-Based Fusion Recommendation Algorithm
A recommendation system is often used to recommend items that may be of interest to users. One of the main challenges is that the scarcity of actual interaction data between users and items restricts the performance of recommendation systems. To solve this problem, multi-modal technologies have been...
Main Authors: | Xi Chen, Yangsiyi Lu, Yuehai Wang, Jianyi Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/16/5275 |
Similar Items
-
YuYin: a multi-task learning model of multi-modal e-commerce background music recommendation
by: Le Ma, et al.
Published: (2023-10-01) -
Traffic Flow Prediction Based on Two-Channel Multi-Modal Fusion of MCB and Attention
by: Xiaoan Qin
Published: (2023-01-01) -
Transformer-Based Multi-Modal Data Fusion Method for COPD Classification and Physiological and Biochemical Indicators Identification
by: Weidong Xie, et al.
Published: (2023-09-01) -
CAE-Net: Cross-Modal Attention Enhancement Network for RGB-T Salient Object Detection
by: Chengtao Lv, et al.
Published: (2023-02-01) -
Single-Stage Extensive Semantic Fusion for multi-modal sarcasm detection
by: Hong Fang, et al.
Published: (2024-07-01)