Relevance Ranking for Vertical Search Engines (Paperback)

Bo Long, Yi Chang

  • 出版商: Morgan Kaufmann
  • 出版日期: 2014-01-31
  • 定價: $1,980
  • 售價: 8.5$1,683
  • 語言: 英文
  • 頁數: 264
  • 裝訂: Paperback
  • ISBN: 0124071716
  • ISBN-13: 9780124071711
  • 相關分類: Algorithms-data-structures
  • 立即出貨 (庫存 < 4)

商品描述

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.

  • Foreword by Ron Brachman, Chief Scientist and Head, Yahoo! Labs
  • Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best results
  • Covers concepts and theories from the fundamental to the advanced
  • Discusses the state of the art: development of theories and practices in vertical search ranking applications
  • Includes detailed examples, case studies and real-world situations

商品描述(中文翻譯)

在《垂直搜索引擎的相關性排名》一書中,以平實、簡單的語言,並使用詳細的例子來解釋垂直搜索排名的關鍵概念、模型和算法,教讀者如何操縱排名算法以在實際應用中獲得更好的結果。

這本專業參考書涵蓋了從基礎到高級的概念和理論,如相關性、查詢意圖、基於位置的相關性排名和跨屬性排名。它還介紹了垂直搜索排名應用中最新的發展,例如基於新搜索應用的新鮮度相關性理論,基於位置的本地搜索應用的相關性理論,以及涉及多個垂直領域的跨屬性排名理論。

本書包含以下內容:
- 由雅虎實驗室首席科學家兼負責人Ron Brachman撰寫的前言
- 介紹排名算法並教讀者如何操縱排名算法以獲得最佳結果
- 涵蓋從基礎到高級的概念和理論
- 討論垂直搜索排名應用中理論和實踐的最新發展
- 包含詳細的例子、案例研究和實際情況