Z-ENG: Intelligent Multimedia Recommendation and Adaptive Digital Signage
2026-2027 ősz
Nincs megadva
Téma leírása
Description
This project focuses on developing AI techniques that automatically personalize multimedia content displayed at exhibition stands. The system analyzes visitor interests, viewing behavior, and contextual information to dynamically select and schedule multimedia content that maximizes engagement.
Possible Subtopics
4.1 Adaptive Multimedia Recommendation
Develop recommendation algorithms that personalize multimedia playback according to visitor interests.
Tasks
- Improve the existing recommendation algorithm.
- Design new scoring methods.
- Evaluate recommendation effectiveness.
- Compare different recommendation models.
4.2 Context-Aware Advertisement Scheduling
Develop intelligent scheduling algorithms that optimize multimedia playback for groups of visitors.
Tasks
- Model scheduling as an optimization problem.
- Handle multiple simultaneous viewers.
- Incorporate advertisement priorities.
- Evaluate scheduling strategies.
4.3 Automatic Audience Summarization
Develop AI methods that summarize visitor interests for exhibition staff.
Tasks
- Aggregate visitor profiles.
- Generate natural-language audience summaries.
- Highlight dominant interests.
- Support real-time updates.
4.4 Automatic Event Report Generation
Generate AI-powered reports summarizing event performance.
Tasks
- Collect analytics.
- Generate executive summaries.
- Produce visual reports.
- Recommend improvements for future events.
Required Skills
- Python
- Machine Learning
- Data Analytics
- Optimization
- Large Language Models
- Web Development (preferred)
Maximális létszám:
4 fő