Title
Web Information Retrieval and Filtering Course to Undergraduates Using Open Source Programming
Publication Date
2011
Document Type
Article
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.
Original Citation
Jung, S., Lawrance, J. (2011). Web Information Retrieval and Filtering Course to Undergraduates Using Open Source Programming. ACM Inroads, 2(3), 47-50. https://doi.org/10.1145/2003616.2003634
Identifier
Virtual Commons Citation
Jung, Seikyung and Lawrance, Joseph (2011). Web Information Retrieval and Filtering Course to Undergraduates Using Open Source Programming. In Computer Science Faculty Publications. Paper 15.
Available at: https://vc.bridgew.edu/compsci_fac/15