Enhancing Knowledge and Bounce Rate in SERPs Using Micro-Data

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.

Authors and Affiliations

M. I. Lali, K. Mehr, W. Aslam, R. Mustafa, U. Ali

Keywords

Related Articles

An Android Based Cooperative Knowledge Acquiring Application

The world is tilting more and more towards technology and the use of mobile devices is getting usual day by day. The majority of the user who use these gadgets are younger in age and belong to student class mostly as the...

Ground-Water Quality in Islamkot and Mithi Talukas of District Tharparkar, Sindh, Pakistan Jhaman Das Suthar

Surface water supplies are gradually becoming short in arid and semi-arid regions of the world. Thus, assessment of groundwater quality for crop use appears to be very essential for management and utilization of precious...

Supporting Adaptation of Wireless Communication Protocols

Pervasive devices such as mobile phones and PDAs (Personal Digital Assistants) come with different wireless communication capabilities, for example, WiFi (Wireless Fidelity), Bluetooth, IrDA (Infrared), etc. In order for...

First Person Vision for Activity Prediction Using Probabilistic Modeling

Identifying activities of daily living is an important area of research with applications in smart-homes and healthcare for elderly people. It is challenging due to reasons like human self-occlusion, complex natural envi...

A Family of 6-Point n-Ary Interpolating Subdivision Schemes

We derive three-step algorithm based on divided difference to generate a class of 6-point n-ary interpolating sub-division schemes. In this technique second order divided differences have been calculated at specific posi...

Download PDF file
  • EP ID EP226289
  • DOI 10.22581/muet1982.1704.21
  • Views 126
  • Downloads 0

How To Cite

M. I. Lali, K. Mehr, W. Aslam, R. Mustafa, U. Ali (2017). Enhancing Knowledge and Bounce Rate in SERPs Using Micro-Data. Mehran University Research Journal of Engineering and Technology, 36(4), 965-974. https://europub.co.uk/articles/-A-226289