Page ranking algorithms in online digital libraries: A survey

Author

Gupta, Swastik ; Duhan, Neelam ; Bansal, Poonam ; Sidhu, Jigyasa

Author_Institution

YMCA Univ. of Sci. & Technol., Faridabad, India

fYear

2014

fDate

8-10 Oct. 2014

Firstpage

1

Lastpage

6

Abstract

With the exponential growth of academic digital libraries, ranking has become an extremely challenging task. When a researcher tries to retrieve relevant scientific literature, or perform a literature review based upon which to build their research, then ranking of search results of a user query plays an important role. Ranking provides an order so that users can easily navigate through the search results and find the desired information content. The various ranking algorithms have been proposed based upon many factors like citations to publications, content similarity, annotations etc. This paper presents an outline regarding various page ranking algorithms for academic digital libraries and highlights comparison of these algorithms in context of performance. This comparative analysis encourages for further required improvement in the related field.

Keywords

academic libraries; digital libraries; query processing; search engines; academic digital libraries; annotations; citations; content similarity; exponential growth; information content; literature review; online digital libraries; page ranking algorithms; publications; scientific literature retrieval; search results ranking; user query; Algorithm design and analysis; Educational institutions; Libraries; Markov processes; Navigation; Search engines; Web pages; Digital library; Page ranking; Search engine; WWW; Web Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on

Conference_Location

Noida

Print_ISBN

978-1-4799-6895-4

Type

conf

DOI

10.1109/ICRITO.2014.7014749

Filename

7014749