Laboratory Experiments in Information Retrieval is popular PDF and ePub book, written by Tetsuya Sakai (Professor) in 2018, it is a fantastic choice for those who relish reading online the Information retrieval genre. Let's immerse ourselves in this engaging Information retrieval book by exploring the summary and details provided below. Remember, Laboratory Experiments in Information Retrieval can be Read Online from any device for your convenience.
Laboratory Experiments in Information Retrieval Book PDF Summary
Covering aspects from principles and limitations of statistical significance tests to topic set size design and power analysis, this book guides readers to statistically well-designed experiments. Although classical statistical significance tests are to some extent useful in information retrieval (IR) evaluation, they can harm research unless they are used appropriately with the right sample sizes and statistical power and unless the test results are reported properly. The first half of the book is mainly targeted at undergraduate students, and the second half is suitable for graduate students and researchers who regularly conduct laboratory experiments in IR, natural language processing, recommendations, and related fields. Chapters 1-5 review parametric significance tests for comparing system means, namely, t-tests and ANOVAs, and show how easily they can be conducted using Microsoft Excel or R. These chapters also discuss a few multiple comparison procedures for researchers who are interested in comparing every system pair, including a randomised version of Tukey's Honestly Significant Difference test. The chapters then deal with known limitations of classical significance testing and provide practical guidelines for reporting research results regarding comparison of means. Chapters 6 and 7 discuss statistical power. Chapter 6 introduces topic set size design to enable test collection builders to determine an appropriate number of topics to create. Readers can easily use the author's Excel tools for topic set size design based on the paired and two-sample t-tests, one-way ANOVA, and confidence intervals. Chapter 7 describes power-analysis-based methods for determining an appropriate sample size for a new experiment based on a similar experiment done in the past, detailing how to utilize the author's R tools for power analysis and how to interpret the results. Case studies from IR for both Excel-based topic set size design and R-based power analysis are also provided.
Detail Book of Laboratory Experiments in Information Retrieval PDF
- Author : Tetsuya Sakai (Professor)
- Release : 06 June 2024
- Publisher : Unknown
- ISBN : 9811312001
- Genre : Information retrieval
- Total Page : 150 pages
- Language : English
- PDF File Size : 7,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Laboratory Experiments in Information Retrieval by Tetsuya Sakai (Professor), don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.