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Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Review Article

A Systematic Literature Review of Web Search Personalization

Author(s): Sunny Sharma* and Vijay Rana

Volume 14, Issue 7, 2021

Published on: 23 February, 2020

Page: [2079 - 2086] Pages: 8

DOI: 10.2174/2666255813666200224105551

Price: $65

Abstract

The existing studies have already revealed that the information on the web is increasing rapidly. Ambiguous queries and users’ ability to express their intention through queries have been one of the key challenges in retrieving accurate search results from the search engine. This paper in response explored different methodologies proposed during 2005-2019 by the eminent researchers for obtaining better search results. Some of these methodologies are based on the users’ geographical location while others rely on re-ranking the web results and refinement of the users’ queries. Fellow researchers can use this literature to define the fundamental literature of their work. Furthermore, a brief case study of major search engines like Google, Yahoo, Bing, etc. along with the techniques used by these search engines for personalization is also discussed. Finally, the paper discusses some current issues and challenges related to personalization which further defines the future research directions.

Keywords: ODP, user query, search personalization, literature review, documents, web.

Graphical Abstract


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