Diversity in user queries makes it challenging for search engines to effectively return a set of relevant results. Both user intentions to search the web and types of queries are vastly varied; consequently, horizontal and vertical search engines are developed to answer user queries more efficiently. However, these search engines present a variety of problems in web searching. Result Page Generation for Web Searching: Emerging Research and Opportunities is an essential reference publication that focuses on taking advantages from text and web mining in order to address the issues of recommendation and visualization in web searching. Highlighting a wide range of topics such as navigational searching, resource identification, and ambiguous queries, this book is ideally designed for computer engineers, web designers, programmers, academicians, researchers, and students.
Author(s): Mostafa Alli
Series: Advances in Web Technologies and Engineering
Publisher: IGI Global
Year: 2020
Language: English
Pages: 150
City: Hershey
Cover
Title Page
Copyright Page
Book Series
Table of Contents
Preface
Chapter 1: Navigational Searching and User Treatments
Chapter 2: A Comparative Web Usage Study of Users in Navigational Web Searching
Chapter 3: Horizontal Web Searching and Navigational Resource Identification
Chapter 4: Ambiguity and Clarification
Chapter 5: Vertical Result Page Generation for Academic Web Searching
Chapter 6: Enhancing Academic Recommendation Regarding Common Coauthors' Publication Records
Chapter 7: Content-Determined Web Page Segmentation and Navigation for Mobile Web Searching
Conclusion
Related Readings
About the Author
Index
