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Automatic Summarization on Aggregated Search Results
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 120 - Number 13 |
| Year of Publication: 2015 |
| Authors: Rohit Arvind Chakrapani, Rakesh Balabantaray, Pallavi Verulkar |
10.5120/21288-4240
|
Rohit Arvind Chakrapani, Rakesh Balabantaray, Pallavi Verulkar . Automatic Summarization on Aggregated Search Results. International Journal of Computer Applications. 120, 13 ( June 2015), 21-26. DOI=10.5120/21288-4240
Abstract
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals (images, videos, news, weather-forecasts, etc), into the web search results. However these results are mainly in the form of hyperlinks. As a result, the user has to go through each link to find and organize its relevant and focused data. In this paper, we are proposing a tooltip-like feature to the user which will provide the summarized content of the page he/she wants to surf i. e. whenever the user hover its mouse over the response link; the tooltip will appear, giving the relevant summary about the current page. Thus, by going through the summary, the surfer can decide whether the link is relevant to navigate or jump to some other links. As a result, he/she can save his/her time rather than clicking on each link, going through the content of corresponding page and then deciding whether the page is relevant to the queried response or not. Here, a simple methodology is proposed for providing the summary dynamically regarding the content of the web page which is based on an Automatic Summarization using Key-phrase extraction method.
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