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SES:
SE Algorithms: Can You Please Them All?
Search engine specialists use to spend inordinate amounts of time creating pages
that ranked well at just one search engine due to algorithmic weighting of known
and very specific ranking factors. SES
2006: Optimizing Your Feed
This is a continuation of an earlier offering about blog and RSS feed optimization.
Because the information is dense, we thought it best to present it...
SES:
Google, Yahoo & MSN Research Laboratories
The Research Laboratories session at SES San Jose 2006 brought representatives
from the top 3 engines to talk about how projects emerge from their labs...
SES
2006: Search Engines, Friend Or Foe
The best thing about search engines is how they make it easy to find relevant
content out of millions of web sites; that may be the worst thing about them too.
SES:
Blog/Feed SEO: Watch Out For Bullets
The information flooding out of the Blog and Feed Search SEO session at SES San
Jose was so rapid and powerful it knocked all of Mike McDonald's hair off. Because
the information is so plentiful, we'll cut the right to the bald and shiny of
Mike's notes. SES
2006: A Case Of Duplicate Content
Site publishers worry about being penalized for having duplicate content; the
panel at SES 2006 in San Jose took on that topic in a session today.
SES
2006: Fiery Click Fraud Session
The potential for click fraud to drain an advertiser's budget requires those entrepreneurs
to audit their paid search ads and be aware of the impact click fraud...
SES
San Jose 2006: Leveraging Social Media
Attending morning SES (Search Engine Strategies) sessions after a 4am wake-up,
airport crowds, public transit shuffles and schlepping luggage all morning...
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08.09.06 SES 2006: Google, Yahoo & MSN Research Laboratories
By
Mike Banks Valentine
The Research Laboratories session at SES San Jose 2006 brought representatives
from the top 3 engines to talk about how projects emerge from their labs to become
actual search tools.
Each offered a different perspective and each seemed to have a differing emphasis on moving from ideas to products.
First up was Peter Norvig, Research Director at Google, who began by asking, "What comes out of research?" He suggested that most of the tools emerging from Google labs are developed in a "Bottom up fashion ... We have a bunch of engineers trying things out and some of them bubble up to the top." He gave several examples and revealed that one of the most popular publisher tools, Adsense, came out of looking for a way to monetize Gmail, the free webmail product.
He showed an example of factual search, "What is the population of Japan?" The answer of a Google search on that query produces a direct answer as the first result on the page. 127,417,244. Followed by the source link and more possible sources displayed below. Clear fact based questions can be drawn from authoritative sources, continually updated and displayed as "One Box" searches.
He discussed Machine "Statistical machine translation" based on a model of English documents online compared to model of other languages such as news stories done in differing languages as a source for reliable quality for statistical comparisons. Norvig proudly displayed results of National Institute of Standards and Technology (NIST) competition for this type of translation shows Google coming out on top. They do it by looking at same text in different languages using online info without anyone actually speaking the languages.
Moving to more challenging computational and algorithmic research projects, Norvig
discussed work being done on image processing in an attempt at "face localization"
to determine from group photos, where a photo was taken. Identification of people
on the web can't be done so easily. The best they've reliably achieved is to determine
if a face is that of a male or a female.
In what appeared to be an unintentional segue' Norvig had mentioned the image
processing in his presentation and was followed by Bradley Horowitz, VP product
strategy for Yahoo. Horowitz had studied Computer vision and imaging before his
involvement in search and claims that the science had progressed incremetally
over years. He found an improvement when he first viewed Yahoo's Flickr image
tagging for determining photo content, "to avoid the heavy lifting of image processing
algorithms. "People plus algorithms are greater than algorithms. This lead to
emphasizing "Authority of Trust" of social search relying more on users than algo's.
He sees engines finding ways to re-Introduce "content and metadata" as reliable
sources of classification.
Read
the Full Article
About the Author:
Mike Banks Valentine operates SEOptimism, Offering SEO training of in-house content managers as well as contract SEO for advertising agencies, web development companies and marketing firms.
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