Computer Science – Information Retrieval
Scientific paper
2012-02-13
International Journal of Information Technology and Knowledge Management, July-December 2011, Volume 4, No. 2, pp. 581-583
Computer Science
Information Retrieval
Scientific paper
The result listing from search engines includes a link and a snippet from the web page for each result item. The snippet in the result listing plays a vital role in assisting the user to click on it. This paper proposes a novel approach to construct the snippets based on a semantic evaluation of the segments in the page. The target segment(s) is/are identified by applying a model to evaluate segments present in the page and selecting the segments with top scores. The proposed model makes the user judgment to click on a result item easier since the snippet is constructed semantically after a critical evaluation based on multiple factors. A prototype implementation of the proposed model confirms the empirical validation.
Aghila G.
Kuppusamy K. S.
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