Relevance ranking for vertical search engines
Relevance ranking for vertical search engines
News search ranking -- Medical domain search ranking -- Visual search ranking -- Mobile search ranking -- Entity ranking -- Multi-aspect relevance ranking -- Aggregated vertical search -- Cross vertical search ranking.
Introduction -- News search ranking -- Medical domain search ranking -- Visual search ranking -- Mobile search ranking -- Entity ranking -- Multi-aspect relevance ranking -- Aggregated vertical search -- Cross vertical search ranking.
In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, this book teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications.
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-worl…
Relevance ranking for vertical search engines
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-worl…
Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr In Detail Together, Apache Hadoop and Apache Solr help organizations resolve the problem of information extraction from big data by providing excellent distributed faceted search capa…
This book is part of Packt's Cookbook series; each chapter looks at a different aspect of working with Apache Solr. The recipes deal with common problems of working with Solr by using easy-to-understand, real-life examples. The book is not in any way a complete Apache Solr refer…