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,...
In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Re...
A culmination of the authors' years of extensive research on this topic, "Relational Data Clustering: Models, Algorithms, and Applications" addresses the fundamentals and applications of relational data clustering.
A culmination of the authors' years of extensive research on this topic, "Relational Data Clustering: Models, Algorithms, and Applications" addresses ...
