[DOWNLOAD] PDF Information Retrieval: Implementing and Evaluating Se…Clarke and Gordon V. 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.
Information Retrieval: Implementing and Evaluating Search Engines
MIT Press, publisher's website. 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 multi-user 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 implementation perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. Additionally, professionals in computer science, computer engineering, and software engineering will find Information Retrieval a valuable reference.
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Measuring is a key to scientific progress. This is particularly true for research concerning complex systems, whether natural or human-built. The tutorial introduced basic and intermediate concepts about lab-based evaluation of information retrieval systems, its pitfalls, and shortcomings and it complemented them with a recent and innovative angle to evaluation: the application of methodologies and tools coming from the Visual Analytics VA domain for better interacting, understanding, and exploring the experimental results and Information Retrieval IR system behaviour. Unable to display preview. Download preview PDF. Skip to main content. Advertisement Hide.
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