 | Name: | Social Computing |
| No.: | S081102TL021 | Semester: | Spring |
| Hour: | 40 | Credit: | 2.0 |
| Teacher: | He, Ben |
| Introduction: |
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| The content of this course covers a wide range of theories, techniques and applications of social computing. Through lectures and experiments on real user data, students are expected to understand the algorithms and methods in social computing, and have a good knowledge of its applications. |
| Content: |
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| Chapter 1 Introduction
Chapter 2 Document Indexing
Chapter 3 Term Weighting
Chapter 4 Content-based Document ranking
Chapter 5 Document Clustering and Filtering
Chapter 6 Recommender Systems
Chapter 7 Blog/Microblog search & mining
Chapter 8 Learning to rank
Chapter 9 Optimization
Chapter 10 Crowdsourcing
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| Material: |
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| Prerequisites: Algorithms and Data Structure |
| References: |
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| Recent publications on social computing |
