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 Readers Will Find That The Second Edition Includes Significant Changes That Bring The Text Up To Date On Current Information Retrieval Methods For Example, The Authors Have Added A Completely New Chapter On Link Structure Algorithms Used In Search Engines Such As Google, And The Chapter On User Interface Has Been Rewritten To Specifically Focus On Search Engine Usability To Reflect Updates In The Literature On Information Retrieval, The Authors Have Added New Recommendations For Further Reading And Expanded The Bibliography In Addition, The Index Has Been Updated And Streamlined To Make It Reader FriendlyInstructors Will Find That The Book Serves As An Excellent Companion Text For Courses In Information Retrieval, Applied Linear Algebra, And Scientific Computing Because Of The Authors Informal, Conversational Tone, Readers With Nonmathematical Backgrounds Also Will Appreciate The Less Technical Chapters Of The Text
Is a well-known author, some of his books are a fascination for readers like in the Understanding Search Engines: Mathematical Modeling and Text Retrieval book, this is one of the most wanted Michael W. Berry author readers around the world.
- 117 pages
- Understanding Search Engines: Mathematical Modeling and Text Retrieval
- Michael W. Berry
- 20 April 2019 Michael W. Berry