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Full Description
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.
Contents
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
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