More Effective Web Search Using Bigrams and Trigrams
Journal Title: Webology - Year 2006, Vol 3, Issue 4
Abstract
This paper investigates the effectiveness of quoted bigrams and trigrams as query terms to target web search. Prior research in this area has largely focused on static corpora each containing only a few million documents, and has reported mixed (usually negative) results. We investigate the bigram/trigram extraction problem and present an extraction algorithm that shows promising results when applied to real-time web search. We also present a prototype augmented search software package that can leverage the results provided by a web search engine to assist the web searcher identify important phrases and related documents quickly. This software has received favourable feedback in a recent user survey.
Authors and Affiliations
David Johnson, Vishv Malhotra and Peter Vamplew
Improvement of Page Ranking Algorithm by Negative Score of Spam Pages
There are billions of web pages in the web and the most significant point is how to search these pages regarding their usefulness. Usually a user enters a query into a search engine and looking for the best responses. Se...
Asian top universities in six world university ranking systems
There are a variety of ranking systems for universities throughout the different continents of the world. The majority of the world ranking systems have paid special attention toward evaluation of universities and higher...
Web 2.0 as a Social Movement
The current discussions on Web 2.0 development represent a significant development in the continuing interaction of technological developments and communications rights. In this paper the social movement for a right to c...
An Algorithm for Classification, Localization and Selection of Informative Features in the Space of Politypic Data
Dimensionality reduction and feature subset selection are very important and challenging issues in preliminary processing of the large amount of data for its intellectual analysis, pattern recognition and clustering. In...
Detecting Fake Accounts on Twitter Social Network Using Multi-Objective Hybrid Feature Selection Approach
The frequency of fake accounts or social bots is considered as one of serious challenges of online social networks, which are controlled by automatic operators and often used for malicious purposes. The researchers have...