Instructor: Prof. Jung-Hsien Chiang (蔣榮先)
Course: Tue A-C; Office Hour: Mon 3-4
Course Goals
The purpose of this course aims to how to utilize the related methods to discover the importance of knowledge information from the amount of Artificial intelligence information data.
Course Outline
- Introduction
- Basic IR Modeling
- Biomedical Documents
- Retrieval Evaluation
- Document Processing
- Word Embedding
- Query Operation
- Indexing and Search
- Searching the Webs
- Social text Analytics/Image Retrieval
- Bioinformatics Information Extraction
Textbook
Manning, Raghavan, and Schutze, Introduction to Information Retrieval, Cambridge University Press, 2009
References
Information Retrieval: Implementing and Evaluating Search Engines (MIT Press), 2010
Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley Inc., 1999
Grading Policy
Assignments 40%
Midterm Exam 30%
Group Projects 30%
The final exam will be held on week 18.
Syllabus
Lecture Note
Supplementary
Homework