A Binary Tree based Approach for Time Based Page Ranking in Search Engines

A Binary Tree based Approach for Time Based Page Ranking in Search Engines

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Sabiha Firdaus

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Kashfia Sailunaz

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Ahmed Shoeb Al Hasan

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α to ρ Bangladesh University of Business and Technology

A Binary Tree based Approach for Time Based Page Ranking in Search Engines

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Abstract

Search engines rank web pages according to different conditions. Some of them use publication time, some use last time of update, some checks the currency of the content of the web page. In this paper, a new algorithm is proposed which will work on the time of the web page, temporal information of the content and forms a binary tree to rank among web pages.

References

7 Cites in Article

Reference Format

O Alonso,J Strötgen,R Yates,M Gertz (2011). Temporal Information Retrieval: Challenges and Opportunities.
Z Chen,J Ma,C Cui,H Rui,S Huang (2010). Web Page Publication Time Detection and its Application for Page Rank.
S Whiting (2012). The Essence of Time: Considering Temporal Relevance as an Intent-Aware Ranking Problem.
Nattiya Kanhabua,Klaus Berberich,Kjetil Nørvåg (2012). Learning to select a time-aware retrieval model.
R Campos,G Dias,A Jorge,C Nunes (2012). Enriching Temporal Query Understanding through Date Identification: How to Tag Implicit Temporal Queries?.
Donald Metzler,Rosie Jones,Fuchun Peng,Ruiqiang Zhang (2009). Improving search relevance for implicitly temporal queries.
Na Dai,Brian Davison (2010). Freshness matters.

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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

Sabiha Firdaus. 2015. \u201cA Binary Tree based Approach for Time Based Page Ranking in Search Engines\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H5): .

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GJCST Volume 15 Issue H5
Pg. 5- 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-H Classification: H.2.8, H.3.3

Submission ReceivedDecember 12, 2014
Peer Review Double Blind
Handling Editor
Accepted January 5, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

November 27, 2015

Language

en

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Article Matrices

Total Score: 103

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Kashfia Sailunaz, Sabiha Firdaus, Ahmed Shoeb Al Hasan (PhD/Dr. count: 0)

View Count (all-time): 253

Total Views (Real + Logic): 7928

Total Downloads (simulated): 1941

Publish Date: 2015 11, Fri

Monthly Totals (Real + Logic):

Month 1: 37 views
Month 2: 55 views
Month 3: 42 views
Month 4: 22 views
Month 5: 56 views
Month 6: 39 views
Month 7: 52 views
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Month 9: 39 views
Month 10: 48 views
Month 11: 26 views
Month 12: 31 views
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Month 18: 33 views
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Month 20: 43 views
Month 21: 29 views
Month 22: 19 views
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Month 27: 34 views
Month 28: 45 views
Month 29: 19 views
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Month 33: 46 views
Month 34: 33 views
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Month 38: 40 views
Month 39: 48 views
Month 40: 16 views
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Month 44: 37 views
Month 45: 26 views
Month 46: 17 views
Month 47: 31 views
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Month 98: 45 views
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Month 117: 30 views
Month 118: 30 views
Month 119: 28 views
Month 120: 24 views
Month 121: 25 views
Month 122: 41 views
Month 123: 26 views
Month 124: 43 views
Month 125: 71 views

Total Views: 7928

Total Downloads: 1941

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Published Article

Search engines rank web pages according to different conditions. Some of them use publication time, some use last time of update, some checks the currency of the content of the web page. In this paper, a new algorithm is proposed which will work on the time of the web page, temporal information of the content and forms a binary tree to rank among web pages.

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