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Working in a hands-on learning environment, led by our Collective Intelligence expert instructor, students will learn about and explore:
Architecture for embedding intelligence in your application.Developing metadata about the user and content.Gather intelligence from tagging and build tag clouds.Introduction to intelligent web crawling and Nutch.Harvesting information from the blogosphere.Build a text analysis toolkit leveraging Lucene.Business intelligence and data mining for recommendations and promotions.Leveraging open-source data mining toolkit WEKA and the Java Data Mining (JDM) standard.Incorporating intelligent search in your application.Building a recommendation engine—finding related users and content.Real-world case studies of Amazon, Google News, and Netflix personalization.
Unlimited Duration
July 29, 2021
20
Course Curriculum
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- What is collective intelligence? 00:00:00
- CI in web applications 00:00:00
- Classifying intelligence 00:00:00
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- Architecture for applying intelligence 00:00:00
- Basics of algorithms for applying CI 00:00:00
- Forms of user interaction 00:00:00
- Converting user interaction into collective intelligence 00:00:00
- Introduction to tagging 00:00:00
- How to leverage tags 00:00:00
- Extracting intelligence from user tagging: an example 00:00:00
- Scalable persistence architecture for tagging 00:00:00
- Building tag clouds 00:00:00
- Finding similar tags 00:00:00
- Introducing the blogosphere 00:00:00
- Building a framework to search the blogosphere 00:00:00
- Implementing the base classes 00:00:00
- Integrating Technorati 00:00:00
- Integrating Bloglines 00:00:00
- Integrating providers using RSS 00:00:00
- Core concepts of data mining 00:00:00
- Using an open source data mining framework: WEKA 00:00:00
- Standard data mining API: Java Data Mining (JDM) 00:00:00
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