Research

Research Theme 1

UI Optimization for Mobile Job Support Systems to Enhance UX

This research aims to optimize the user interface (UI) of mobile job support systems for students and improve user experience (UX) based on feedback from last year.

First, we will enhance the feedback messages during registration and login, and clarify labels on the user information update page. Next, we will fix issues such as malfunctioning mobile menu buttons and display problems during advice viewing, and introduce responsive design. Furthermore, we will expand the advanced search function and display the number of search results. Finally, we will review text color adjustments and default settings of forms, and add new features such as favorites.

These improvements are expected to enhance system usability and usage rates.

Research Theme 2

Introduction and Evaluation of Job Activity Recommendation Systems

This research aims to introduce and evaluate a recommendation system that efficiently accesses job activity reports matching students' interests and aptitudes. Current systems face challenges where students spend considerable time finding suitable reports.

We implement collaborative filtering algorithms to recommend highly relevant reports based on students' browsing and search histories. Specifically, we select and implement collaborative filtering algorithms, and introduce a related item recommendation feature. This enhances user engagement and increases site navigation rates.

The system's evaluation will be based on user engagement, revisit rates, usage rates, and registration rates, evaluating accuracy and effectiveness through feedback. Ultimately, we expect students to efficiently find more useful reports, thereby enhancing the quality of job activities.