DoS: an efficient scheme for the diversification of multiple search results

Khan, Hina A., Drosou, Marina and Sharaf, Mohamed A. (2013). DoS: an efficient scheme for the diversification of multiple search results. In: SSDBM 2013 - Proceedings of the 25th International Conference on Scientific and Statistical Database Management. 25th International Conference on Scientific and Statistical Database Management, SSDBM 2013, Baltimore, MD, United States, (1-4). 29-31 July 2013. doi:10.1145/2484838.2484858

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Author Khan, Hina A.
Drosou, Marina
Sharaf, Mohamed A.
Title of paper DoS: an efficient scheme for the diversification of multiple search results
Conference name 25th International Conference on Scientific and Statistical Database Management, SSDBM 2013
Conference location Baltimore, MD, United States
Conference dates 29-31 July 2013
Proceedings title SSDBM 2013 - Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Series ACM International Conference Proceeding Series
Place of Publication New York, NY, United States
Publisher ACM Digital Library
Publication Year 2013
Sub-type Fully published paper
DOI 10.1145/2484838.2484858
Open Access Status
ISBN 9781450319218
Start page 1
End page 4
Total pages 4
Collection year 2014
Abstract/Summary Data diversification provides users with a concise and meaningful view of the results returned by search queries. In addition to taming the information overload, data diversification also provides the benefits of reducing data communication costs as well as enabling data exploration. The explosion of big data emphasizes the need for data diversification in modern data management platforms, especially for applications based on web, scientific, and business databases. Achieving effective diversification, however, is rather a challenging task due to the inherent high processing costs of current data diversification techniques. This challenge is further accentuated in a multi-user environment, in which multiple search queries are to be executed and diversified concurrently. In this paper, we propose the DoS scheme, which addresses the problem of scalable diversification of multiple search results. Our experimental evaluation shows the scalability exhibited by DoS under various workload settings, and the significant benefits it provides compared to sequential methods. Copyright
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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