Introduction To Modern Information Retrieval
Condition: SECONDHAND
This is a secondhand book. The jacket image is a photograph of the exact copy we have in stock. This image shows the condition of this book. Further condition remarks are below.
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Some moisture damage
Condition remarks: Condition as shown in image
At the crossroads of computer science and library science, Introduction to Modern Information Retrieval stands as a landmark academic text that laid the intellectual foundations for how machines find and rank information — a question more urgent today than ever before. Gerard Salton and Michael J. McGill present a rigorous and comprehensive treatment of information retrieval systems, chronicling the core principles of indexing, query processing, relevance ranking, and the statistical models that underpin modern search technology. The authors guide readers through both the theoretical underpinnings and the practical architectures of retrieval systems, covering everything from Boolean retrieval and vector space models to probabilistic methods and automatic text analysis. Salton, widely regarded as the father of information retrieval, brings to the text a scholarly authority forged over decades of pioneering research, and his collaboration with McGill produces a work of remarkable clarity and depth. The prose is precise and methodical, reflecting the rigour of the discipline itself, while remaining accessible to advanced students and practitioners alike. Themes of relevance, representation, and the relationship between human knowledge and machine logic run throughout, offering the reader not merely a technical manual but a philosophical framework for understanding how we organise and access the sum of human knowledge — a question whose answer, even now, remains tantalizingly incomplete.
Author: Gerard Salton / Michael J. Mcgill
Format: Paperback
Genre: Reference & language
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Some moisture damage
Condition remarks: Condition as shown in image
At the crossroads of computer science and library science, Introduction to Modern Information Retrieval stands as a landmark academic text that laid the intellectual foundations for how machines find and rank information — a question more urgent today than ever before. Gerard Salton and Michael J. McGill present a rigorous and comprehensive treatment of information retrieval systems, chronicling the core principles of indexing, query processing, relevance ranking, and the statistical models that underpin modern search technology. The authors guide readers through both the theoretical underpinnings and the practical architectures of retrieval systems, covering everything from Boolean retrieval and vector space models to probabilistic methods and automatic text analysis. Salton, widely regarded as the father of information retrieval, brings to the text a scholarly authority forged over decades of pioneering research, and his collaboration with McGill produces a work of remarkable clarity and depth. The prose is precise and methodical, reflecting the rigour of the discipline itself, while remaining accessible to advanced students and practitioners alike. Themes of relevance, representation, and the relationship between human knowledge and machine logic run throughout, offering the reader not merely a technical manual but a philosophical framework for understanding how we organise and access the sum of human knowledge — a question whose answer, even now, remains tantalizingly incomplete.