 | Name: | Modern Information retrieval |
| No.: | 712012Z-1 | Semester: | Autumn |
| Hour: | 40 | Credit: | 2.0 |
| Teacher: | He, Ben |
| Introduction: |
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| Information Retrieval (IR) is a key technique in search engines, recommender systems, and other Web applications. While this course module emphasizes on the fundamentals and theories of IR, it also introduces recent development in research and applications. Through learning in this course module, students are expected to understand the basics and advanced techniques of IR, and is able to program and experiment with standard IR test datasets. |
| Content: |
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| Chapter 1 Introduction
Chapter 2 IR System Architecture
Chapter 3 Evaluation
Chapter 4 IR Models
Chapter 5 Relevance Feedback
Chapter 6 Context-based IR Models
Chapter 7 Web Search
Chapter 8 Web Crawler
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| Material: |
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| Prerequisites: Probability and Statistics, Algorithms and Data Structure |
| References: |
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| Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. |
