Automatic Extraction of Top-K Lists from Web
Ashish N. Patil, Shital N. Kadam · IARJSET · 2017
This Now a days there is very busy schedule and all the users wants to complete their task within a less time.Whenever users fire any Top-k query as an input on World Wide Web then they got number of links as an output.The links which are received by users may contain non-useful information or garbage data.Sometimes these links may contain audios, videos, and Twitter and Facebook comments which is not useful for users.To overcome these problems we develop new proposed Top-k extraction system with better performance.By using this system, user wills saves it"s time to get proper result.By using this system, when user enter Top-k list as a query it will give user direct Top-k list as a result in tabular format.For obtain this result Top-k extraction system we use Top-k extraction algorithm.This system includes all web pages.The web pages is in the structured, unstructured and semi-structured format.Also gives results in less time.This paper is summaries with data which is useful to user that are extract from top-k web pages, which are web pages that web pages includes top k instances of a query which is user fire on web.That"s why top-k lists are highly valuable, give richer data and information.