Facebook Search- The fall of the machines

Increasingly I am beginning to search more and more on Facebook. This is for the following reasons-

1) Facebook is walled off to Google (mostly). While within Facebook , I get both people results and content results (from Bing).

Bing is an okay alternative , though not as fast as Google Instant.

2) Cleaner Web Results When Facebook increases the number of results from 3 top links to say 10 top links, there should be more outbound traffic from FB search to websites.For some reason Google continues to show 14 pages of results… Why? Why not limit to just one page.

3) Better People Search than  Pipl and Google. But not much (or any) image search. This is curious and I am hoping the Instagram results would be added to search results.

4) I am hoping for any company Facebook or Microsoft to challenge Adsense . Adwords already has rivals. Adsense is a de facto monopoly and my experiences in advertising show that content creators can make much more money from a better Adsense (especially ) if Adsense and Adwords do not have a conflict of interest from same advertisers.

Adwords should have been a special case of Adsense for Google.com but it is not.

5) Machine learning can only get you from tau to delta tau. When ad click behavior is inherently dependent on humans who behave mostly on chaotic , or genetic models than linear CPC models. I find FB has an inherent advantage in the quantity and quality of data collected on people behavior rather than click behavior. They are also more aggressive and less apologetic about behavorially targeted  ads.

Additional point- Analytics for Google Analytics is not as rich as analytics from Facebook pages in terms of demographic variables. This can be tested by anyone.

 

Why social media is an one way street- cant close accounts

Update to https://decisionstats.com/2010/11/24/deleting-twitter-facebooklinkedin-accepting-life/

You cant DELETE a Facebook Account- it gets deactivated NOT DELETED.

You have to delete photo albums one by one, but if you have a folder like profile photos or wall photos or mobile uploads  (you cant delete these folders you have to delete those photos one by one)

So I had to delete 1100 friends, delete all Facebook Pages I created, and then download the account- (photos) which were now a more easy to download zip file of 92 mb. And I deleted all the 250+ Likes I had given to things I had flippantly liked- it was horrifying because if you accumulate all that info- it basically gives you a big lead in estimating my psychological profile- and thats not stuff I want to be used for selling.

Then I deactivated it- no like Lord Voldermort’s horcruxes you cant delete it all.

and Facebook shows you ads even if you clean your profile and your friends and can longer see any preference for any product.

Facebook treats data like prisoners – even if you are released they WILL maintain your record.

20 years later they would be able to blackmail all the people  of all countries in the WORLD- by that much info.

And Linkedin is still getting deleted- I got this email from them-

basically if you have an active group for whom you are the only owner you cant delete yourself- you have to delete the group or find another owner.

Sigh!

If it took me 2 days to download all my info, and wipe my social media for just 3 yrs of using it (albiet at an expert enough level to act as a social media consultant to some companies)- I am not sure what today’s generation of young people who jump to twitter and Facebook at early ages would face after say 5-10 years of data is collected on them. Lots of Ads I guess!

Using Facebook Analytics (Updated)

People sceptical of any analytical value of Facebook should see the nice embedded analytics, which is a close rival and even more to Google Analytics for websites. It has recently been updated as well.

It is right there on the button called Insights on left margin of your Facebook Page

Like for the Facebook Page

http://facebook.com/Decisionstats

You can also use Export Data function to run customized analytical and statistical testing on your Corporate Page.

Older View———————————————————————————-

see screenshot of Demographics of 213 Decisionstats fans on Facebook ( FB doesnot allow individual views but only aggregate views for Privacy Reasons)

fb

Holiday Fun: Analyzing Facebook Privacy for Ads

So you got a Facebook ID and ticked it in a hurry AND added in your work info. Bad Choice. Even small advertisers like me ( with 225 fans for Decisionstats) can see aggregate numbers of work info BEFORE even advertising.
This can lead to hilarious results-

See Screenshots below- AND note the numbers

1) 400 US females > age 18 work at IBM, SAP, Oracle or Microsoft AND are interested in Women

2) 2940 US females or males > age 18 work at IBM, SAP, Oracle or Microsoft AND are interested in Women

3) 480 US females > age 18 work at IBM, SAP, Oracle or Microsoft AND are interested in Men AND are married

4) 440 US males > age 18 work at IBM, SAP, Oracle or Microsoft AND are interested in Men

5) 40 US males > age 18 work at IBM, SAP, Oracle or Microsoft AND are interested in Men AND are married

[tweetmeme=”decisionstats”]

Interested in males/females while giving out your work info AND your marital status. I hope these are ahem False Positives but seriously do you think these are violations of privacy or not.

Ps- i decided not to advertise after seeing the err statistics.
pps- This is meant to showcase lax ad related privacy for professionals rather than any individual preference or judgment.

Advanced Analytics on Multi-Terabyte Datasets- Conferences

Some news on Data Mining 2009 by Aster Data –

SAS and Aster Data to Present “Advanced Analytics on Multi-Terabyte Datasets” at M2009 in Las Vegas – Oct. 26-27
Learn how the tight coupling of SQL and MapReduce provided by Aster Data creates new ‘big data’ analytics opportunities when combined with SAS. Aster Data will exhibit throughout the event.
More

And also a nice  webcast by Curt Monash on the same Big Data topic-

Mastering MapReduce Webinar Series, Session 1
“Big Data Reality: The Role of MapReduce in Big Data Management and Analysis”- Oct. 15
Industry analyst Curt Monash explains the basics of MapReduce, key uses cases, and which industries and applications are heavily using MapReduce. Topics include recommendations for integrating MapReduce in an enterprise business intelligence and data warehousing environment.
More

Also,

Here is a brief synopsis on the Aster Data ( http://www.facebook.com/pages/Aster-Data-Systems/5601042375) Sponsored Big Data Summit  ( http://www.facebook.com/pages/Big-Data-Summit/143312171156 )which I attended-

  • A Plan for Large Scale Data Analytics: How to Utilize Aster nCluster and Hadoop in a Symbiotic
    Relationship to Support Processing in Excess of 100 Billion Rows Per Month
    – Michael Brown and Will Duckworth
    (EVP, Software Engineering, comScore, Inc. and Director, Software Engineering, comScore, Inc.)

This talked of the special needs of Com Score in handling big data and why Map Reduce and Hadoop seem to be the cost effective solutions for big big data while RDBMS seems stuck in the middle of middle data. Broadly informative on the statistical challenges of the future given the explosion of data as well.

  • Making Sense of Hadoop – Its Fit With Data Warehouses – Colin White
    (President and Founder of BI Research)

Colin brought a nice perspective on the open source Hadoop vis a vis the Properietary packages and the traditional DBMS. His perspective on the solution is no software is perfect for all needs while all softwares that sell have their own good points while the converging solution could be a heterogeneous solution of the above.

  • MapReduce Inside a Database System – When and How Case Studies from ShareThis, Specific Media, and Other – Tasso Argyros (Chief Technology Officer and Co-Founder of Aster Data)

This was a more detailed look at the Big Product Launch ( the Hadoop Connector) by Tasso and an interesting look at time series analysis using nPath rather than SQL . Interesting given the ongoing convergence analytics and business intelligence.

Also Tasso lived up to his presenting charm with an excellent pitch on nPath (as his interview said ).

  • Large-Scale Analytics at LinkedIn – Jonathan Goldman
    (Former Principal Scientist at LinkedIn)

This was nice given Jonathan’s perscpective ( he has Phd In Physics) and now does consulting for LinkedIn while maintaining his interests in education- the special needs for social media websites, designing experiments on the fly with huge real time datasets as well as some interesting visualizations (like India and America have the second biggest cross country Li connections after USA- UK. Apparently Linkedin ( http://www.facebook.com/group.php?gid=2211231478 ) does not sound so good when translated in Chinese ( AT Dinner I learnt from a fellow Chinese student that China censors Facebook – sigh!).

  • Networking Mixer: Beer, wine, hot hors d’oeuvres

I got interviewed ( AFTER) I had mixed some Beer and Wine for myself. The Video interview which was the first video interview I have given ( You know- I have taken SOME interviews by Email and plan to do some more while in Vegas for the Data Mining 2009  with SAS http://www.facebook.com/group.php?gid=2227381262)

They are still editing that interview 😉

—That was all – you need to send me a Facebook invite to see the rest of the NY trip or better still just join the Facebook page of Decision Stats at

http://www.facebook.com/pages/DecisionStats/191421035186

After two weeks I hope to have some more coverage on Data Mining 2009 while at the same time enjoying my much needed Fall Break-  Life at University at Tennessee is looking up ( since we beat Georgia 45-19 🙂 )

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