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Relevance Ranking for Vertical Search Engines
Learn in-depth and systematic practices including state-of-the-art algorithms to lay a solid foundation for future advance in the field of vertical search ranking.
Bo Long (Author), Yi Chang (Author)
9780124071711, Elsevier Science
Paperback, published 26 March 2014
264 pages
23.4 x 19 x 1.8 cm, 0.48 kg
"The authors of this book are active researchers in vertical search technology. This book provides researchers and application developers a comprehensive overview of the general concepts, techniques, and applications in vertical search." --Prabhakar Raghavan, Vice President of Engineering at Google "This is an excellent book that gives the first and comprehensive introduction and overview on vertical search, an emerging and important field! Researchers and practitioners will find this book provides a comprehensive overview and systematic treatment on theories, methodologies and practices for vertical search ranking, covering several very promising topics, such as search on news and medical information, entity search, mobile search, as well as multi-aspect ranking, aggregating vertical search ranking and cross vertical ranking. I found it a great pleasure to read!" --Jiawei Han, Abel Bliss Professor, Department of Computer Science, Univ. of Illinois at Urbana-Champaign
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.
1. Introduction2. News Search Ranking3. Medical Domain Search Ranking4. Visual Search Ranking5. Mobile Search Ranking6. Multi-Aspect Relevance Ranking7. Entity Ranking8. Aggregated Vertical Search9. Cross Vertical Search RankingReferences
Subject Areas: Artificial intelligence [UYQ]
