Synopses & Reviews
The World Wide Web is rapidly filling with more text than anyone could have imagined a short time ago. However, the task of determining which data is relevant has become appreciably harder. In this original new work Richard Belew brings a cognitive science perspective to the study of information as a computer science discipline. He introduces the idea of Finding Out About (FOA), the process of actively seeking out information relevant to a topic of interest. Belew describes all facets of FOA, ranging from creating a good characterization of what the user seeks to evaluating the successful performance of search engines. His volume clearly shows how to build many of the tools that are useful for searching collections of text and other media. While computer scientists make up the book's primary audience, Belew skillfully presents technical details in a manner that makes important themes accessible to readers more comfortable with words than equations. (A CD is included with the text.)
Review
"FOA is a comprehensive resource for teaching a programming-based information retrieval class. The text provides an integrated introduction to many topics in information retrieval with a strong emphasis on mathematical and machine learning models, as well as giving a clear account of implementation details for the programming assignments." Information Retrieval
Synopsis
Belew explains the process of seeking out information relevant to a topic, with tools.
Synopsis
Belew introduces the idea of Finding Out About (FOA) as the process of actively seeking relevant information, and many of its facets - creating a good characterization of what the user seeks, inferring semantic features of content from syntactic clues contained in documents, and evaluating whether search engines are performing well.
Table of Contents
Foreword; 1. Overview; 2. Extracting lexical features; 3. Weighting and matching against indices; 4. Assessing the retrieval; 5. Mathematical foundations; 6. Inference beyond the index; 7. Adaptive information retrieval; 8. Conclusions and future directions; Bibliography; Index.