Relevance Ranking for Vertical Search Engines by Bo Long,Yi Chang
By Bo Long,Yi Chang
In simple, easy language, and utilizing designated examples to provide an explanation for the foremost options, types, and algorithms in vertical seek score, Relevance Ranking for Vertical seek Engines teaches readers tips on how to manage rating algorithms to accomplish larger leads to real-world purposes.
This reference booklet for professionals covers strategies and theories from the basic to the complex, comparable to relevance, question goal, location-based relevance score, and cross-property rating. It covers the newest advancements in vertical seek score purposes, similar to freshness-based relevance idea for brand spanking new seek functions, location-based relevance conception for neighborhood seek purposes, and cross-property rating idea for functions related to a number of verticals.
- Foreword by means of Ron Brachman, leader Scientist and Head, Yahoo! Labs
- Introduces rating algorithms and teaches readers the right way to manage rating algorithms for the easiest results
- Covers recommendations and theories from the basic to the advanced
- Discusses the state-of-the-art: improvement of theories and practices in vertical seek score applications
- Includes specific examples, case reports and real-world situations
Read Online or Download Relevance Ranking for Vertical Search Engines PDF
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