Document Details
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Document Type |
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Article In Journal |
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Document Title |
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A survey on search results diversification techniques A survey on search results diversification techniques |
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Subject |
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Computer Science |
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Document Language |
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English |
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Abstract |
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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. |
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ISSN |
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0941-0643 |
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Journal Name |
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Neural Computing and Applications |
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Volume |
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2015 |
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Issue Number |
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2015 |
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Publishing Year |
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1436 AH
2015 AD |
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Article Type |
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Article |
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Added Date |
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Monday, March 7, 2016 |
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Researchers
| Sher Afzal Khan | Khan, Sher Afzal | Researcher | Doctorate | skhan.afzal@gmail.com |
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