A survey on search results diversification techniques
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Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Neural Comput & Applic
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.
Description
Keywords
Web search, Diversification of search results, Diversification techniques
Citation
Abid, A., Hussain, N., Abid, K., Ahmad, F., Farooq, M. S., Farooq, U., Sabir, N….. (2015). A survey on search results diversification techniques. Neural Computing and Applications, 1-23