A Context-Based Information Refinding System-A Review

M.Riyajoddin

A Context-Based Information Refinding System-A Review

M.Riyajoddin * §

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§ CMR Institute of Technology Hyderabad

A Context-Based Information Refinding System-A Review

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Abstract

In recent technological development people are experiencing unprecedentedly data explosion, reading, writing, and collecting different kinds of information from local computer and the global Web. As such most of the times during web search peoples revisit information that have ever been come across occasionally or intentionally. But in most of the cased users do not know enough information, while refinding is a more directed process as users have already seen the information before. A general way to support information refinding is to maintain access logs, recording what users have ever seen based on their revisit frequencies. This survey paper gives the different techniques for context based information refinding systems with intent to give the direction of the my project work with improved context based information refinding system.

References

13 Cites in Article

Reference Format

A Nivethith,D Kerana,K Hanirex,Kaliyamurthie (2014). A Comparative Study of Context-Based Information Refinding.
A Nivethitha (2014). efficiently context-based information re-finding and page ranking.
Tangjian Deng,Liang Zhao,Hao Wang,Qingwei Liu,Ling Feng (2013). ReFinder: A Context-Based Information Refinding System.
S Won,J Jin,J Hong (2009). Contextual Web History: Using Visual and Contextual Cues to Improve Web Browser History.
Bonnie Mackay,Melanie Kellar,Carolyn Watters (2005). An evaluation of landmarks for re-finding information on the web.
J Hailpern,N Jitkoff,A Warr,R Karahalios,K Sesek,N Shkrob (2011). You Pivot: Improving Recall with Contextual Search.
Kathryn Parsons,Agata Cormac,Marcus Butavicius,Simon Dennis,*,Lael Ferguson The Use of a Context-Based Information Retrieval Technique.
Eytan Adar,Jaime Teevan,Susan Dumais (2008). Large scale analysis of web revisitation patterns.
R Capra,M Pinney,M Perez-Quinones (2005). Refinding Is Not Finding Again.
Yi Chen,Gareth Jones (2008). Integrating Memory Context into Personal Information Re-finding.
Jaime Teevan (2007). The re:search engine.
Sarah Tyler,Jaime Teevan (2010). Large scale query log analysis of re-finding.
(2008). The Origin and History of Google.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

M.Riyajoddin. 2014. "A Context-Based Information Refinding System-A Review". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 14 (GJCST Volume 14 Issue G4).

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GJCST Volume 14 Issue G4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

context cue information refinding refinding queries

Classification

F.2.2

F.2.0

Submission ReceivedDecember 13, 2013
Peer Review Double Blind
Handling Editor
Accepted January 2, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

December 20, 2014

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Divya, M.Janga Reddy, M.Riyajoddin (PhD/Dr. count: 0)

View Count (all-time): 472

Total Views (Real + Logic): 2686

Total Downloads (simulated): 231

Publish Date: 2014 01, Wed

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Total Views: 2.7K

Total Downloads: 231

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