Description
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/Editor's Biography
Mostafa Alli
Mostafa Alli graduated with a PhD degree of Computer Science and Technology from Department of Computer Science and Technology, Tsinghua University, Beijing, China in July 2018. He has received his master degree majored in computer application technology from Huazhong University of Science and Technology, Wuhan, China and his bachelor degree majored in software engineering from University of Science and Culture, Tehran, Iran. His research interests are included but not limited to Information retrieval, Web searching and Recommendation.