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These books, classroom-tested and perfected by Phil Bagge through his website code-it.
These books, classroom-tested and perfected by Phil Bagge through his website code-it.
Summary Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Users are accustomed to and expect instant, relevant search results. To achieve this, you must master the search engine. Yet for many developers, relevance ranking is mysterious or confusing. About the Book Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You'll learn how to apply Elasticsearch or Solr to your business's unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating with stakeholders to discover the right relevance requirements for your business. By the end, you'll be able to achieve a virtuous cycle of provable, measurable relevance improvements over a search product's lifetime. What's Inside Techniques for debugging relevance? Applying search engine features to real problems? Using the user interface to guide searchers? A systematic approach to relevance? A business culture focused on improving search About the Reader For developers trying to build smarter search with Elasticsearch or Solr. About the Authors Doug Turnbull is lead relevance consultant at OpenSource Connections, where he frequently speaks and blogs. John Berryman is a data engineer at Eventbrite, where he specializes in recommendations and search. Foreword author, Trey Grainger, is a director of engineering at CareerBuilder and author of Solr in Action. Table of Contents The search relevance problem Search under the hood Debugging your first relevance problem Taming tokens Basic multifield search Term-centric search Shaping the relevance function Providing relevance feedback Designing a relevance-focused search application The relevance-centered enterprise Semantic and personalized search
Growth of knowledge, unparalleled in the history of the human race, results in the rapid development of technology. The solutions that until quite recently remained in the domain of science-fiction now become a part of our everyday life. Information systems and their technologies enter all the spheres of human’s existence. Their influence is multiplied by network connections and by multimedia presentations and communications. Our intention was to offer to the readers of this monograph a very broad review of the recent scientific problems in that area. Searching for their solutions had became a principal task of numerous scientific teams all over the world. Preparing this book we have asked for cooperation many European research teams. In effect the monograph is a collection of carefully selected and the most representative – in our opinion - investigations, solutions, and applications presented by different scientific groups from nine countries. Content of the book has been divided into five parts: 1. Multimedia information technology 2. Data processing in information systems 3. Information system applications 4. Web systems and network technologies 5. E-learning methodologies and platforms.