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Search Optimization Technique : PageRank Gohil Dhara Introduction Search Optimization Pagerank Conclusion

Pagerank Algorithm Explained

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This presentation describes in simple terms how the PageRank algorithm by Google founders works. It displays the actual algorithm as well as tried to explain how the calculations are done and how ranks are assigned to any webpage.

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Page 1: Pagerank Algorithm Explained

Search Optimization Technique : PageRank

Gohil Dhara

IntroductionSearch Optimization

PagerankConclusion

Page 2: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

General outline History

History

What is Search Optimization

PageRank (Two different notations)

How is PageRank Calculated

Effects of the Links

Advantages and Limitations

Page 3: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

General outline History

Seeds of Search OptimizationPagerank

Citations analysis, HITS, Hyper Search

Gerard SaltonVannevar Bush

Sergei Brin Larry Page

Page 4: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

What is Search optimization Optimization in various Search Engines

Meaning of Search Optimization

It’s a backend Process

The old Approach

Relevancy of the keywords

Link Analysis

Age of a webpage

Page 5: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

What is Search optimization Optimization in various Search Engines

Reciprocal linksCommercial linksNatural citations

Natural linksOld sitesContent filtersLink Quality-crawl depth

Topical community

Natural/artificial links Relevancy algorithms poorBiased towards commercial resultReciprocal linksPage content

Page 6: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( How it works 1 ) Applications Advantages and Limitations

A social exampleTeacher

A

Teacher B

Student A

Student C

Student B

Principal

Page 7: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( How it works 2 ) Applications Advantages and Limitations

Page 8: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( Algorithm ) Applications Advantages and Limitations

PR (A) = (1-d) + d (PR (T1) / C (T1) + ... + PR (Tn) / C (Tn)) Where,PR(A) is the PageRank of page APR(Ti) is the PageRank of pages Ti which link to page AC(Ti) is the number of outbound links on page Ti andd is a damping factor which can be set between 0 and 1PageRank for a given page = Initial PageRank + (total ranking power ÷ number of outbound links) +...

In simple terms,

The second version,PR (A) = (1-d) + d (PR (T1) / C (T1) + ... + PR (Tn) / C (Tn)) N

Page 9: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( Damping factor ) Applications Advantages and Limitations

The random surfer modelDamping Factor d

Minimum PageRank ( 1-d )

.

.

.

.

Link 1

Link 2

Link 3

Link n

Link 1

Link n d

Maximum PageRank N+( 1-d )

Page 10: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( Computation of PageRank ) Applications Advantages and Limitations

PR(A) = 0.5 + 0.5 PR(C) = 0.5 + (0.5*1) = 1

Consider an imaginary web of 3 web pages.And the inbound and outbound link structure is as shown in the figure. The calculations can be done by following method :

PR(B) = 0.5 + 0.5 (PR(A) / 2) = 0.5 + 0.5 (1/2) = 0.5 + (0.5 * 0.5) = 0.5 + 0.25 = 0.75

PR(C) = 0.5 + 0.5 ((PR(A) / 2 )+ PR (B)) = 0.5 + 0.5 (1/2 + 0.75) = 0.5 + 0.5 (1.25) = 0.5 + 0.625 = 1.125

Page 11: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( Iterative) Applications Advantages and Limitations

Iteration PR(A) PR(B) PR(C)

0 1 1 1

1 1 0.75 1.125

2 1.0625 0.765625 1.1484375

3 1.07421875 0.76855469 1.15283203

4 1.07641602 0.76910400 1.15365601

5 1.07682800 0.76920700 1.15381050

6 1.07690525 0.76922631 1.15383947

7 1.07691973 0.76922993 1.15384490

8 1.07692245 0.76923061 1.15384592

9 1.07692296 0.76923074 1.15384611

10 1.07692305 0.76923076 1.15384615

11 1.07692307 0.76923077 1.15384615

12 1.07692308 0.76923077 1.15384615

Page 12: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( Effect of inbound links 1 ) Applications Advantages and Limitations

Home0.92

Home0.92

Home 0.92

About0.41

Product

0.41

Links0.41

External Site A

0.22

External Site B

0.22

External Site C

0.22

External Site A

0.22Average PR = 0.378

Page 13: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( Effect of inbound links 2 ) Applications Advantages and Limitations

Home0.92

Home0.92

Average PR = 3.35

Home 3.35

About1.1

Product

1.1

Links1.1

External Site A

0.34

External Site B

0.34

External Site C

0.34

External Site A

0.34

Page 14: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank ( Effect of outbound links ) Applications Advantages and Limitations

Home 2.44

About0.84

Product

0.84

Links0.84

External Site A

0.23

External Site B

0.23

External Site C

0.23

External Site A

0.23

Review A0.23

Review B0.23

Review C0.23

Review D0.23

Page 15: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank Applications Advantages and Limitations

Google Toolbar(The intentional surfer model)

SERP Rank

Ecosystem

Academic doctoral programs

ISI impact factor(Institute for scientific information)Wikipedia

Page 16: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Understanding PageRank Applications Advantages and Limitations

Reduces spamdexing

Most relevant search results

Values Natural Links

Advantages Limitations

Link trade

Bias towards older pages

Page 17: Pagerank Algorithm Explained

IntroductionSearch Optimization

PagerankConclusion

Optimization is necessary

PageRank most efficient

Effect on the web development industry

Google’s Point of view on PageRank

Web masters' Point of view on PageRank

Page 18: Pagerank Algorithm Explained

Thank you

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