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- W2896589215 abstract "Researching about a particular topic on the World Wide Web has become difficult because of the wide range of websites, repetitive content on these websites and irrelevant data like ads on each websites. Websites have become integral part of any system aiming to collect data about a topic because they contain a lot of it. As for researchers, they require all the information that they can gather for giving accurate and unique conclusions. In the current scenario of search engines, there is a lack of surety of getting all required information quickly and correctly. During many search results lesser important webpages show up on top of some good ones. It is manual task to visit different pages, find the actual content in between noisy and irrelevant data like advertisements and gather required data from different webpages. It is time consuming and inefficient in a world where data has become most important source of any system. This paper proposes a novel approach to create a system that aims to make the job easy for anyone willing to get relevant information about a particular topic with just a few clicks. Our proposed system gathers information from various webpages combines the data and displays it in a categorized manner." @default.
- W2896589215 created "2018-10-26" @default.
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- W2896589215 date "2018-03-01" @default.
- W2896589215 modified "2023-09-24" @default.
- W2896589215 title "A Novel approach for Extracting and Combining relevant Web Content" @default.
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- W2896589215 doi "https://doi.org/10.1109/iceca.2018.8474661" @default.
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