Understanding Search Engines Mathematical Modeling and Text Retrieval

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.

Preface to the second edition; Preface to the first edition; 1. Introduction; 2. Document file preparation; 3. Vector space models; 4. Matrix decompositions; 5. Query management; 6. Ranking and relevance feedback; 7. Searching by link structure; 8. User interface considerations; 9. Further reading; Bibliography; Index.

The second edition of this text covers many of the key design issues for building search engines, emphasizing the important role that applied mathematics plays in improving information retrieval. Important data structures, algorithms, and software are discussed, as well as user-centered issues such as interfaces, manual indexing, and document preparation.