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Information Retrieval

 

劉瑞瓏
Rey-Long Liu

2010/6/12

 

 

Goal:

From the perspective of medical informatics, learning the needs, concepts, and techniques of those systems that aim to retrieve and extract useful information from a huge information space

Prerequisite:

Programming and data structure

Content:

(1) Introduction

(2) Query, Query Execution, and Performance Measurement

(3) Case Study Report

(4) Keyword Searching

(5) Similarity Measurement

(6) Technical exercise (I)

(7) Keyword Selection

(8) Document Summarization

(9) Midterm Examination

(10) Text Categorization & Clustering (I)

(11) Text Categorization & Clustering (II)

(12) Technical exercise (II)

(13) Information Filtering

(14) Multimedia IR

(15) Technical exercise (III)

(16) Question Answering

(17) Iterative Feedback, System Interface, and Multi-Database Searching

(18) Final Examination

Grading:

(1)  Case study (15%)

(2) Midterm examination (20%)

(3) Technical exercises (45%)

(3)  Final examination (20%)

Reference:

(1) Manning C. D., Raghavan P., and Schutze H., 2009, "Introduction to Information Retrieval," Cambridge University Press

(2) Search engines on the Internet

(3) Search engines in libraries

(4) Proceedings of related conferences (e.g., the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval) and journals (e.g., Information Processing & Management, Information Systems)

Materials:

The e-learning system in Tzu Chi University: the Moodle system

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