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Reseach Article

A Novel Approach to Automatically Combine Search and Ranking Results

Published on May 2012 by Mohd. Husain, Ayushi Prakash, Afsaruddin Khan
National Conference on Advancement of Technologies – Information Systems and Computer Networks
Foundation of Computer Science USA
ISCON - Number 1
May 2012
Authors: Mohd. Husain, Ayushi Prakash, Afsaruddin Khan
fcc7af3f-88fa-41a1-8b67-853414ead870

Mohd. Husain, Ayushi Prakash, Afsaruddin Khan . A Novel Approach to Automatically Combine Search and Ranking Results. National Conference on Advancement of Technologies – Information Systems and Computer Networks. ISCON, 1 (May 2012), 7-11.

@article{
author = { Mohd. Husain, Ayushi Prakash, Afsaruddin Khan },
title = { A Novel Approach to Automatically Combine Search and Ranking Results },
journal = { National Conference on Advancement of Technologies – Information Systems and Computer Networks },
issue_date = { May 2012 },
volume = { ISCON },
number = { 1 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 7-11 },
numpages = 5,
url = { /proceedings/iscon/number1/6456-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancement of Technologies – Information Systems and Computer Networks
%A Mohd. Husain
%A Ayushi Prakash
%A Afsaruddin Khan
%T A Novel Approach to Automatically Combine Search and Ranking Results
%J National Conference on Advancement of Technologies – Information Systems and Computer Networks
%@ 0975-8887
%V ISCON
%N 1
%P 7-11
%D 2012
%I International Journal of Computer Applications
Abstract

In the World Wide Web there are innumerable information sources containing very useful information that cannot be indexed by general-purpose search engines and hence cannot be visited by most common users. Of course, users can search a source through its query interface if they know where the source can be found. The idea of querying and collating results from multiple databases is not new. Internet meta-search engines, online catalogues, multi-databases and other kinds of information integration systems have attracted a lot of attention since the advent of the network. In the web's early days, it used to be that a search engine either presented crawler-based results or human-powered listings. Today, it is extremely common for both types of results to be presented. Usually, a hybrid search engine will favor one type of listings over another. Often the user is interested in items that are both visually and semantically similar. With a view to supporting such functionality, the hybrid search engine provides a novel retrieval method, in which both visual and ontology search is employed for the same query. This novel method automatically combines different types of search results, and complements content-based search with ontology-based search and vice versa. In this paper, we study the rank aggregation problem in the context of the web, i. e. the problem of ranking result from various sources. There are various ranking aggregation methods available. We design an algorithm, based on which we propose a new rank aggregation method. It is observed that our proposed method is more effective and efficient than other well-known methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Crawling Multi-criteria Selection Meta Search Engines Rank Aggregation And Word Association