International Journal of Engineering and Management Research (IJEMR)
  • Year: 2014
  • Volume: 4
  • Issue: 3

Deep Information Retrieval Using N-Gram (Query Interface)

  • Author:
  • Pooja Ahuja1, Pratima Sharma2
  • Total Page Count: 5
  • Page Number: 279 to 283

1Assitant Professor, Computer Science Department, DAVIM, Faridabad, India

2Assistant Professor, Computer Science Department, AITM, Palwal, India

Online published on 21 November, 2017.

Abstract

The rapid growth of the web is causing the constant growth of information, leading to several problems such a increased difficulty of extracting potentially useful knowledge. Information Retrieval is an activity to get information from an exhaustible collection of information resources. In this paper we are proposing a technique for improving the retrieval ratio of only relevant data from web. Earlier various techniques are already implemented using different approaches but our technique implies a n-gram approach on URL's so that the we can provide the useful information as per user requirements while satisfying constraints.

Keywords

Dir, Webcrawler, N-Gram, Bi-Gram, Query Interface, Priority Manager