research-article

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

Authors:

Joseph LawranceAuthors Info & Claims

ACM Inroads, Volume 2, Issue 3

Pages 47 - 50

https://doi.org/10.1145/2003616.2003634

Published: 31 August 2011 Publication History

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.

References

[1]

C. Alt, O. Astrachan, J. Forbes, R. Lucic, and S. Rodger. Social Networks Generate Interest in Computer Science. Proceedings of the 37th ACM SIGCSE technical symposium on Computer Science Education (2006), p438--442

Digital Library

[2]

S. Brin and L. Page. The Anatomy of a Large-Scale Hypertextual Web Search Engine. Proceedings of the 7th international conference on World Wide Web (1998), p107--117

Digital Library

[3]

M.Chau, Z.Huang, and H.chen. Teaching key topics in computer science and information systems through a web search engine project. ACM Journal of Educational Resources in Computing (JERIC), 3(3):2, 2003

Digital Library

[4]

B. Croft, D. Metzer, and T. Strohman. Search Engines: Information Retrieval in Practice. Addison Wesley, 1st edition, February 2009.

Digital Library

[5]

S. Jung, J. Webster, M. Mellinger, J. Frumkin and J. Herlocker, LibraryFind: System Design and Usability Testing of Academic Metasearch System. Journal of the American Society for Information Science and Technology (JASIST), 59(3): 1--15, 2008, John Wiley & Sons Inc, NJ.

Digital Library

[6]

S. Jung, K. Harris, J. Webster and J. Herlocker, SERF: Integrating Human Recommendations with Search. Proceddings of the 13th conference on Information and Knowledge anagement (CIKM), p571--580, 2004, New York, NY: ACM Press.

Digital Library

[7]

D. Knox, P. DePasquale, S. Pulimood. A Model for Summer Undergraduate Research Experiences in Emerging Technologies. Proceedings of the 37th ACM SIGCSE technical symposium on Computer Science Education (2006), p214--218

Digital Library

[8]

F. McCown. Teaching Web Information Retrieval to Undergraduates. Proceedings of the 41st ACM SIGCSE technical symposium on Computer Science Education (2010), p87--91

Digital Library

[9]

U. Murthy, R. Torres, F. Edward, V. Logambigai, S. Yang, and M. Goncalves. From Concepts to implementation and Visualization: Tools from a Team-Based Approach to IR. Proceedings of the 31st annual international ACM SIGIR conference, (2008), p889.

Digital Library

[10]

D. Musicant. A Data Mining Course for Computer Science: Primary Sources and Implementations. Proceedings of the 37th ACM SIGCSE technical symposium on Computer Science Education (2006), p538--542

Digital Library

[11]

M. Pedroni, T. Bay, M. Oriol, and A. Pedroni. Open Source Projects in Programming Courses. Proceedings of the 38th ACM SIGCSE technical symposium on Computer Science Education (2007), p454--458

Digital Library

[12]

I. Rahal. Undergraduate Research Experiences in Data Mining. Proceedings of the 39th ACM SIGCSE technical symposium on Computer Science Education (2008), p461--465

Digital Library

[13]

E. Reategui, E. Boff, and J. Campbell. Using Virtual Characters in Personalized Recommendations. Proceedings of the 38th ACM SIGCSE technical symposium on Computer Science Education (2007), p180--184

Digital Library

[14]

I. Russell, Z. Markov, T. Neller. Teaching AI through Machine Learning Projects. Proceedings of the 11th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE, 2006), p323

Digital Library

[15]

T.Segaran, Programming Collective Intelligence. O'Reilly Media, August 2007.

Digital Library

Cited By

Wilhelm-Stein TKahl SEibl MKando NSakai TJoho HLi Hde Vries AWhite R(2017)Teaching the Information Retrieval Process Using a Web-Based Environment and Game MechanicsProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3084143(1293-1296)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1145/3077136.3084143

Index Terms

Web information retrieval and filtering course to undergraduates using open source programming
1. Information systems
  1. Information retrieval
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        Information science education

Recommendations

Open Source Libraries for Information Retrieval

Open source libraries give developers full control of IR parameters in building custom desktop and enterprise search functions. Comparisons of five libraries show the range of IR features and tasks available. The author also describes some ...
Teaching web information retrieval to undergraduates
SIGCSE '10: Proceedings of the 41st ACM technical symposium on Computer science education

Courses centered around the field of Web Information Retrieval (IR) and web search are slowly being introduced at the undergraduate level. In this paper, we show how the curriculum for a new undergraduate course on web search engines was developed, and ...
Experiences on a practical course of web information retrieval: developing a search engine
TLIR'08: Proceedings of the Second international conference on Teaching and Learning of Information Retrieval

A Web Information Retrieval course is quite appealing to Computer Science students and is quite challenging from the teacher's perspective, due to the limited knowledge of IR and Web IR of the students. In this paper we present our experience teaching a ...

Comments

Information & Contributors

Information

Published In

cover image ACM Inroads

ACM Inroads Volume 2, Issue 3

September 2011

74 pages

ISSN:2153-2184

EISSN:2153-2192

DOI:10.1145/2003616

Issue’s Table of Contents

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 August 2011

Published in INROADS Volume 2, Issue 3

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
224
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Wilhelm-Stein TKahl SEibl MKando NSakai TJoho HLi Hde Vries AWhite R(2017)Teaching the Information Retrieval Process Using a Web-Based Environment and Game MechanicsProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3084143(1293-1296)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1145/3077136.3084143

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Magazine Site

View this article on the magazine site (external)

Media

Figures

Other

Tables

View Issue’s Table of Contents