z-logo
open-access-imgOpen Access
An Alternate Idea for Storage Optimization in Search Engine
Author(s) -
Anirban Kundu,
Siddhartha Sett,
Subhajit Kumar,
Shruti Sengupta,
Srayan Chaudhury
Publication year - 2011
Publication title -
international journal of computer and communication technology
Language(s) - English
Resource type - Journals
eISSN - 2231-0371
pISSN - 0975-7449
DOI - 10.47893/ijcct.2011.1103
Subject(s) - search engine indexing , computer science , space (punctuation) , search engine , hamming space , hamming distance , theoretical computer science , algorithm , hamming code , information retrieval , decoding methods , operating system , block code
We propose an alternate indexing storage technique of Search Engine. In this approach, we achieve reduced space complexity. We try to decrease time complexity for faster data retrieval and decrease storage space for efficient utilization of space. This paper provides an algorithm of indexing mechanism by which effective storage space is reduced. Space complexity of a Search Engine depends on the indices created by the indexing algorithm. Hamming distance concept is used to achieve better result.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom