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A survey on search results diversification techniques

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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.

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Acknowledgments

We are grateful to the reviewers of this article for their constructive and valuable review comments, which helped us to improve this article in many different ways.

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Authors and Affiliations

  1. Department of Computer Science, University of Management and Technology, Lahore, Pakistan

    Adnan Abid, Muhammad Shoaib Farooq, Uzma Farooq, Yaser Daanial Khan & Nabeel Sabir

  2. University of South Asia, Lahore, Pakistan

    Naveed Hussain

  3. University of the Punjab, Lahore, Pakistan

    Kamran Abid & Muhammad Azhar Naeem

  4. Faculty of Computing and Information Technology in Rabigh, King Abdul Aziz University, Jeddah, Saudi Arabia

    Sher Afzal Khan

  5. COMSATS Institute of Information Technology, Lahore, Pakistan

    Farooq Ahmad

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  1. Adnan Abid
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  2. Naveed Hussain
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  3. Kamran Abid
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  5. Muhammad Shoaib Farooq
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Correspondence to Yaser Daanial Khan.

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Abid, A., Hussain, N., Abid, K. et al. A survey on search results diversification techniques. Neural Comput & Applic 27, 1207–1229 (2016). https://doi.org/10.1007/s00521-015-1945-5

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