Vacancies
| Details | |
|---|---|
| Project Title | Autonomous and Intelligent Recommender Model for Tag Recommendation on Vendor Products Using Syntactic Patterns and Neighboring Tag Attributes |
| Grant | UTARRF 2025 Cycle 2 |
| Campus | Sg Long campus |
| Stipend | RM 2,000 per month (total for 12months = RM 24,000) |
| Entry Requirement |
1. Malaysia / Non-Malaysian 2. Bachelor's degree in Software Engineering /Computer Science /Artificial Intelligence/Other related fields 3. Basic Programming Skills: R/Pyhton 4. Demonstrate commitment and strong analytical thinking in all research-related work |
| Job Description | 1. To conduct a comprehensive literature review and collect, clean, and organize product data and tags including extracting syntactic patterns to provide a solid foundation and high-quality input for timely model development. 2. To build, train, test, and refine the recommender model using syntactic and neighboring tag features to ensure strong performance within the project timeline. 3. To evaluate model accuracy, compare it with baseline methods and document all findings to keep the project on track and meet reporting deadlines. |
| Field of Study Related to the Research Project | Computer Science (Master of Science (Computer Science)) |
| How to Apply | If you are interested, please contact |
