Seikyung Jung
Joseph Lawrance
Abstract
This paper describes how to engage actively students in web information retrieval and filtering course using open source programming. To teach this course, I utilized hands-on lab projects from various open source projects including the Galago search engine. Projects included, but were not limited to, implementing information retrieval (IR) algorithms, collaborative filtering (CF) algorithms, web-based interfaces, and adding features into an open-source search engine. By practicing with real-world open source programming, students found that they better understood how to connect background knowledge to real-world applications in preparation for industry jobs.
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Digital Library
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Index Terms
- Web information retrieval and filtering course to undergraduates using open source programming
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