Web information retrieval and filtering course to undergraduates using open source programming

  • Authors:
  • Seikyung Jung;Joseph Lawrance

  • Affiliations:
  • Bridgewater State University, Bridgewater, Massachusetts;Wentworth Institute of Technology, Boston, Massachusetts

  • Venue:
  • ACM Inroads
  • Year:
  • 2011

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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.