Enhancing Knowledge and Bounce Rate in SERPs Using Micro-Data

Muhammad Ikramullah Lali; Kinza Mehr; Waqar Aslam; Raza ul Mustafa; Umair Ali

doi:10.22581/muet1982.1704.21

Muhammad Ikramullah Lali Department of Computer Science and Information Technology, University of Sargodha.
Kinza Mehr Department of Computer Science and Information Technology, University of Sargodha
Waqar Aslam Department of Computer Science and Information Technology, The Islamia University of Bahawalpur
Raza ul Mustafa Department of Information Science, COMSATS Institute of Information Technology, Sahiwal
Umair Ali Department of Computer Scienceand Information Technology, University of Sargodha

DOI: https://doi.org/10.22581/muet1982.1704.21

Abstract

Internet has revolutionized the human life. SEs (Search Engines) are one of the major tools being used for finding information over the Internet. SEs enlist the information into links as per relevance to the searched query. A searcher usually visits the top web links retrieved on SERPs (Search Engine Results Pages) in response to a search query. With the evolving nature of Internet and the increasing number of
competitors; it is hard to maintain high ranking in SERPs even for professional correspondents. However, correspondents can apply the techniques of web micro-data to achieve high CTR (Click through Rate) in SERPs. Ranking in major SEs is still a critical factor, although in certain cases such as movies, books, recipes rich snippets proved profitable for webmasters. This study aims to address the gap in micro-data moving from top category such as Animals to their limited scope. Animals with information such as name, price, category will have high CTR and hence more user satisfaction for specified result will lead to high ranking in SERPs.