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http://dspace.dtu.ac.in:8080/jspui/handle/123456789/311
Title: | CONTEXT DETECTION IN WEB QUERIES |
Authors: | RAI, SANDEEP |
Keywords: | Web Queries |
Issue Date: | 20-Jul-2009 |
Series/Report no.: | TD541;45 |
Abstract: | On the Web, the most commonly used tool for learning is the search engine [7]. The user first submits a query representing the ‘subject of interest’ to a search engine system, which finds and returns the related Web pages. He/she then browses through the returned results to find those suitable Web pages. Search engines are critically important to help users find relevant information on the World Wide Web. In order to best serve the needs of users, a search engine must find and filter the most relevant information matching a user’s query, and then present that information in a manner that makes the information most readily palatable to the user. However, the current search techniques are not designed for in-depth learning on the Web. Contextual search refers to proactively capturing the information need of a user by automatically augmenting the user query with information extracted from the search context; for example, by using terms from the web page the user is currently br... |
Description: | ME THESIS |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/123456789/311 |
Appears in Collections: | M.E./M.Tech. Computer Technology & Applications |
Files in This Item:
File | Description | Size | Format | |
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final+1.pdf | 905.24 kB | Adobe PDF | View/Open |
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