Relevance ranking for vertical search engines / [electronic resource] edited by Bo Long, Yi Chang. Long, Bo, editor. Chang, Yi (Writer on computers), editor. Text processing (Computer science) Sorting (Electronic computers) Relevance. Database searching. Search engines Programming. QA76.9.T48 R455 2014eb 025.04 23 Includes bibliographical references (pages 201-221) and index. Print version record. In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals. Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best resultsCovers concepts and theories from the fundamental to the advancedDiscusses the state of the art: development of theories and practices in vertical search ranking applicationsIncludes detailed examples, case studies and real-world examples. 2014 Text 1 online resource (xxiii, 239 pages) : http://www.sciencedirect.com/science/book/9780124071711 eng Relevance ranking for vertical search engines. Relevance ranking for vertical search engines.