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

A Novel Low Profile Rectangular Microstrip Patch Antenna for L-Band Applications Using High Permittivity Substrate

A novel low-profile and miniaturized patch antenna on a substrate material of high dielectric constant has been designed, fabricated and tested in an indigenous laboratory. It is highly important to reduce the size of pa...

Displacement Based Design Optimization of Steel Moment Frames

Optimization of steel moment resisting frames considering the displacement as the fundamental element is the main aim of the present study. DDBD (Direct Displacement Based Design) methodology have been used for the subje...

On The Design and Characteristics of a Sub-Optimal Observer for Boeing-747

LPV (Linear Parameter Varying) system is an important class of system, as it covers many physical systems. In the existing design theory related to control system, the major part is related to linear and non-linear syste...

Implementation of Cavity Perturbation Method for Determining Relative Permittivity of Non Magnetic Materials

Techniques for the cavity measurement of the electrical characteristics of the materials are well established using the approximate method due to its simplicity in material insertion and fabrication. However, the exact m...

Detection and Classification of Rice Diseases: An Automated Approach Using Textural Features

Image processing techniques are widely used for the detection and classification of diseases for various plants. The structure of the plant and appearance of the disease on the plant pose a challenge for image processing...

Download PDF file
  • EP ID EP226289
  • DOI 10.22581/muet1982.1704.21
  • Views 159
  • 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