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An Introduction to Search Engine Algorithms

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Title: An Introduction to Search Engine Algorithms


1
An Introduction toSearch Engine Algorithms
2
The Search Engines StartedBy Looking Primarily
at Keywords
3
So... We Spammed Keywords
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras, Digital
cameras, Digital cameras, Digital cameras,
Digital cameras, Digital cameras
4
Then They Used Specific Metricsfor Keyword Usage
5
And We Spammed Those
6
In 1998, Google PageRankArrived on the Scene
7
PageRank is a Rough Measure of theAuthority and
Weight a Web Page Carries Based on All of the
Links Pointing to It
8
The Algorithm Uses Markov Chaining to
Help Calculate Scoring Rankings and is
UniqueBecause it's the First to Measure Links
9
And... Of Course...We Spam the Hell Out Of It
10
We Buy Links fromHigh PageRank Domains
11
We Build Link Networks of Useless, Junk Pages to
Create Fake PageRank Systemsto Point at the
Domains We Control
12
We Trade Links, Use 3-Way Link Networks Send
Spam Email Telling Webmasters toBoost their
PageRank (By Linking to Us)?
13
We Cloak by User-Agent, IP Address Cookie
Acceptance to Hide Our Junky Spam
14
So Google Innovates...
15
They Add Algo Pieces Like Anchor Text
I am linking to the best SEO Site - SEOmoz
Anchor Text
16
And Beef Up Their Spam Fighting Teams to Shut
Down Link Networks
17
But Those Crafty SEOs...They Keep On Spamming
18
We Build Robots that Scan the Web for Unprotected
Pages to Place Links
19
We use Crafty CSS Techniques to Hide Our Links
Text?
20
So... The Search Engines Get Smarter
21
They Assemble Teams of Human Quality Raters to
Help ID Spam
22
They Launch Algorithms Specifically Targeted
Towards Individual Verticals
23
And At Long Last, SEOs Begin to Relent
24
What's InsideModern Search Algorithms?
25
Relevance Detection Systems
26
Keyword Usage
  • Title Tags
  • Headlines (H1, H2, H(x))?
  • Text on the Page
  • Link Anchor Text
  • URLs
  • Alt Meta Tags

27
Term Vector Models
28
Intent Matching
  • Navigational Queries
  • Research Queries
  • Commercial Queries
  • Vertical Queries(news, images, travel, blogs,
    etc.)?

29
Trust Popularity Detection Systems
30
Link Popularity
  • Popularity Trust in the Domain
  • External Link Popularity of a Page
  • Internal Link Popularity of a Page
  • Quality Trust of Inbound Links

31
Temporal User Data
  • Search Query Data
  • Timelines
  • Toolbar Data
  • Clickstream Data
  • Google Analytics Data
  • Feedburner Data
  • Free Wifi Access Data
  • Google's Q.D.F. Formula

32
Spam Detection Systems
  • Link Spam Detection
  • Content Re-Purposing Detection
  • Content Quality Detection
  • Human Quality Control

33
And Now, SomeLessons From Search Algos
34
It Is Better to Be Big Popular Than Small
Niche
35
Those With the Best (or Most Relevant)? Content
Don't Always Win
36
Those With the Most Accessible(or
Search-Targeted Content)Don't Always Win
37
Those with the Most Link-Worthy,
Viral-WorthyContent (that is also Search
Friendly)Are Most Likely to Win
38
QATell Me More (about Algos)?
39
You've Selected The Bonus!!!More Algo Goodness
)?
40
When 37 Top SEOs were asked What factors
matter most at Google? What did they say?...
41
10 Most Important Factor
42
9 Most Important Factor
43
8 Most Important Factor
44
7 Most Important Factor
45
6 Most Important Factor
46
5 Most Important Factor
47
4 Most Important Factor
48
3 Most Important Factor
49
2 Most Important Factor
50
1 Most Important Factor
51
QATake Two?
52
Wow! You Must Love This Stuff.Seriously? This
Rand Guy is a Total Geek.?
53
Original PageRank
Page (a) (1 d ) d (a) (b) (d
/ 5) (1 - d ) d
(2) (4) (6) / (6) (7) (8) (9)
(10) (1 0.85)
0.85 0.41 0.41 (0.41 / 5)
(0.15) 0.85 (0.82
0.082) 0.15 0.77 0.92
54
Local Authority vs. Global Authority
Teoma H.I.T.S.
Google PageRank
55
The HillTop Algorithm
Google Switches from Raw Link Juice to Topical
Focus
56
Information Retrieval Basedon Historical Data
Google Recruits the Pink Panther
57
TrustRank Yahoo! Finds A Few Good Sites
We first select a small set of seed pages to be
evaluated by an expert. Once we manually identify
the reputable seed pages, we use the link
structure of the web to discover other pages that
are likely to be good. ...Our results show that
we can effectively filter out spam from a
significant fraction of the web, based on a good
seed set of less than 200 sites.
58
Personalization - What's Good for theGoose may
not be Good for the Gander
Just cause they want worms doesn't mean I do.
59
QAThis Time We're Actually Finished?
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