Amanda Spink

Amanda Spink is Professor in the Faculty of Information Technology at the Queensland University of Technology and Co-Leader of the Information Science Cluster. Her primary research includes: basic, applied, industry and interdisciplinary studies in information science, information behavior, cognitive information retrieval; Web retrieval, including relevance, feedback and multitasking models. Professor Amanda Spink has published over 300 journal articles, refereed conference papers and book chapters, and 5 books. She is a member of numerous journal editorial boards including: Information Processing and Management, Journal of Documentation, Journal of Information Systems Education and Webology.

Publications

Machine Learning Approach to Search Query Classification
Isak Taksa, Sarah Zelikovitz, Amanda Spink. © 2012. 16 pages.
Search query classification is a necessary step for a number of information retrieval tasks. This chapter presents an approach to non-hierarchical classification of search...
Non-Topical Classification of Query Logs Using Background Knowledge
Isak Taksa, Sarah Zelikovitz, Amanda Spink. © 2012. 18 pages.
Background knowledge has been actively investigated as a possible means to improve performance of machine learning algorithms. Research has shown that background knowledge plays...
Non-Topical Classification of Query Logs Using Background Knowledge
Isak Taksa, Sarah Zelikovitz, Amanda Spink. © 2011. 19 pages.
Background knowledge has been actively investigated as a possible means to improve performance of machine learning algorithms. Research has shown that background knowledge plays...
Handbook of Research on Web Log Analysis
Bernard J. Jansen, Amanda Spink, Isak Taksa . © 2009. 628 pages.
Whether searching, shopping, or socializing, Web users leave behind a great deal of data revealing their information needs, mindset, and approaches used, creating vast...
Research and Methodological Foundations of Transaction Log Analysis
Bernard J. Jansen, Isak Taksa, Amanda Spink. © 2009. 16 pages.
This chapter outlines and discusses theoretical and methodological foundations for transaction log analysis. We first address the fundamentals of transaction log analysis from a...
From Analysis to Estimation of User Behavior
Seda Ozmutlu, Huseyin C. Ozmutlu, Amanda Spink. © 2009. 21 pages.
This chapter summarizes the progress of search engine user behavior analysis from search engine transaction log analysis to estimation of user behavior. Correct estimation of...
Machine Learning Approach to Search Query Classification
Isak Taksa, Sarah Zelikovitz, Amanda Spink. © 2009. 16 pages.
Search query classification is a necessary step for a number of information retrieval tasks. This chapter presents an approach to non-hierarchical classification of search...
Topic Analysis and Identification of Queries
Seda Ozmutlu, Huseyin C. Ozmutlu, Amanda Spink. © 2009. 14 pages.
This chapter emphasizes topic analysis and identification of search engine user queries. Topic analysis and identification of queries is an important task related to the...
Web Log Analysis: Diversity of Research Methodologies
Isak Taksa, Amanda Spink, Bernard J. Jansen. © 2009. 17 pages.
Web log analysis is an innovative and unique field constantly formed and changed by the convergence of various emerging Web technologies. Due to its interdisciplinary character...
Journal of Information Technology Research (JITR)
Francisco José García-Peñalvo. Est. 2008.
The Journal of Information Technology Research (JITR) presents comprehensive interdisciplinary and refereed research on the most emerging and breakthrough areas of information...
Semantics and the Medical Web: Towards Effective Medical Healthcare Search
Amanda Spink, Robert M. Wolfe, Bernard J. Jansen. © 2007. 13 pages.
This chapter discusses issues related to semantics and the medical Web. Much health information is available on the Web, but not always effectively found by users. Studies...