Special Session 6. Perception and Understanding of Multimodal Large Models and Intelligent Recommendation
- SS6 Call-for-papers Flyer Download Link
SUBMIT ONLINE: https://www.easychair.org/conferences/?conf=prai2026 (Please choose Special Session 6)
The booming of multimodal large models (MLLMs) has significantly enhanced the ability of machines to perceive and understand complex multi-source information (text, image, audio, video). Integrating MLLMs with intelligent recommendation systems breaks through the limitations of traditional single-modal recommendation, enabling more accurate user demand mining and personalized content delivery. However, key challenges remain, such as cross-modal semantic alignment, efficient feature fusion, and real-time recommendation adaptation. This session focuses on the cutting-edge intersection of MLLM perception understanding and intelligent recommendation, aiming to build an academic exchange platform for global experts to share latest achievements, explore innovative solutions, and promote the integration of technologies to advance the development of intelligent recommendation systems.
Siling Feng, Hainan University, ChinaEmail: fengsiling@hainanu.edu.cn |
RELATED TOPICS
Topics of interest include, but are not limited to:
- Fundamental Theories of Multimodal Large Model Perception and Understanding
MLLM-Driven Intelligent Recommendation Technologies
Practical Applications of MLLM-Based Intelligent Recommendation
Evaluation, Optimization and Security
Emerging Trends and Cross-Disciplinary Integration
Multimodal User Profiling and Preference Modeling
IMPORTANT DATE
Submission Deadline: March 25, 2026
Notification Date: April 25, 2026
Registration Deadline: May 10, 2026
Siling Feng, Hainan University, China