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Personalizing Search Based on user Search Histories

Authors(4):

Thenmozhi. M, Swathishri. J, Nivedha. A, Kalaiselvi. A
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In improving the quality of various search services on the Internet, Individualized web search (IWS) has demonstrated its effectiveness. User preferences are modelled as hierarchical user profiles in IWS applications. We propose a IWS framework called UPS that can adaptively generalize profiles by queries. Our runtime generalization evaluates the utility of personalization and the privacy risk of exposing the generalized profile. We present two greedy algorithms, namely GreedyDP and GreedyIL, for runtime generalization. For deciding whether personalizing a query is beneficial, we also provide an online prediction mechanism. The experimental results also reveal that GreedyIL significantly outperforms GreedyDP in terms of efficiency.

Thenmozhi. M, Swathishri. J, Nivedha. A, Kalaiselvi. A

GreedyIL, GreedyDP, Individualized web search, profile based methods, log based, UPS, IWS

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Publication Details

Published in : Volume 1 | Issue 2 | March-April - 2015
Date of Publication Print ISSN Online ISSN
2015-04-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
186-188 IJSRSET15229   Technoscience Academy

Cite This Article

Thenmozhi. M, Swathishri. J, Nivedha. A, Kalaiselvi. A, "Personalizing Search Based on user Search Histories", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.186-188, March-April-2015.
URL : http://ijsrset.com/IJSRSET15229.php