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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation. Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus—a multiuser open-source information retrieval system developed by one of the authors and available online—provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.
This compilation of original papers on information retrieval presents an overview, covering both general theory and specific methods, of the development and current status of information retrieval systems. Each chapter contains several papers carefully chosen to represent substantive research work that has been carried out in that area, each is preceded by an introductory overview and followed by supported references for further reading.
Information science textbook on information retrieval methodology - focusing on intellectual rather than equipment oriented aspects of information systems, proposes criteria for the evaluation of information service efficiency (incl. Cost benefit analysis), constrasts thesaurus terminology control with natural language ("free text") retrieval, considers trends in data base computerization and information user information needs, and includes the results of a questionnaire appraisal of AGRIS. Bibliography pp. 359 to 373, diagrams, flow charts and graphs.
This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, ...
Aims to make accessible the process of information retrieval of texts or abstracts. Although a knowledge of a higher order language (PASCAL, C, or BASIC) and elementary algebra is useful, the general meaning can be suitably appreciated with only slight knowledge of information technology.
"The purpose of this book is to give a thorough introduction to experimental automatic document retrieval. The topics covered broadly correspond to the components of an experimental retrieval system. A substantial amount of space is devoted to describing various formal (sometimes mathematical) models that exist for certain processes and structures in information retrieval. In the treatment of each topic the author starts from first principles and takes the reader through the subject up to developments in current research"--