Web Information Retrieval and Filtering Course to Undergraduates Using Open Source Programming
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.
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
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