Campus Search Engine
This project was first derived from a course project of Parallel Algorithm in SZU. We retrieve and integrate information for the benefits of students and faculty in SZU. We also apply some machine learning and data mining skills, especially recommender system techniques to enhance user experience, and, more importantly, Hack Data For Fun! Feel free to contact us and contribute.
- Full-text retrieval on all public websites on campus.
- E-mail reminder.
- News filter and recommender.