15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
Document Details
Document Type
:
Article In Journal
Document Title
:
A survey on search results diversification techniques
A survey on search results diversification techniques
Subject
:
Computer Science
Document Language
:
English
Abstract
:
The quantity of information placed on the web has been greater than before and is increasing rapidly day by day. Searching through the huge amount of data and finding the most relevant and useful result set involves searching, ranking, and presenting the results. Most of the users probe into the top few results and neglect the rest. In order to increase user’s satisfaction, the presented result set should not only be relevant to the search topic, but should also present a variety of perspectives, that is, the results should be different from one another. The effectiveness of web search and the satisfaction of users can be enhanced through providing various results of a search query in a certain order of relevance and concern. The technique used to avoid presenting similar, though relevant, results to the user is known as a diversification of search results. This article presents a survey of the approaches used for search result diversification. To this end, this article not only provides a technical survey of existing diversification techniques, but also presents a taxonomy of diversification algorithms with respect to the types of search queries.
ISSN
:
0941-0643
Journal Name
:
Neural Computing and Applications
Volume
:
2015
Issue Number
:
2015
Publishing Year
:
1436 AH
2015 AD
Article Type
:
Article
Added Date
:
Monday, March 7, 2016
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
Sher Afzal Khan
Khan, Sher Afzal
Researcher
Doctorate
skhan.afzal@gmail.com
Files
File Name
Type
Description
38349.pdf
pdf
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