Web information retrieval and filtering course to undergraduates using open source programming
作者： Seikyung Jung , Joseph Lawrance
关键词: Cognitive models of information retrieval 、 Open source 、 Human–computer information retrieval 、 Adversarial information retrieval 、 Collaborative filtering 、 Multimedia 、 Course (navigation) 、 World Wide Web 、 Search engine 、 Web information 、 Computer science 、 General Computer Science 、 Education
摘要: 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 including the Galago search engine. Projects included, but were not limited to, implementing (IR) algorithms, collaborative (CF) web-based interfaces, adding features into an open-source By practicing with real-world programming, found that they better understood connect background knowledge applications preparation for industry jobs.
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