Saturday, January 26, 2013

Facebook Graph Search / Was too premature to launch ?

Steven Loeb from VATOR had published the article "Facebook Graph Search was too premature to launch"

I do not think it is too premature, because I think it is too obsolete!

Search Engines are evolving to Recommender Systems (a.k.a recommendation engines) and they can be based on:
- past actions (as the formerly Beacon at Facebook)
- a pattern of personal preferences (by collaborative filtering, as the actual one at Facebook using the Like button) The main disadvantage with recommendation engines based on collaborative filtering is when users instead of providing their personal preference try to guess the global preference and they introduce bias in the recommendation algorithm.
- personality traits of users.
Personality Based Recommender Systems are the next generation of recommender systems because they perform FAR better than Behavioural ones (past actions and pattern of personal preferences)
That is the only way to improve recommender systems, to include the personality traits of their users.
As they need to calculate personality similarity between users and there are different formulas to calculate similarity those recommender systems are morphing to .......... compatibility matching engines as the one used by online dating sites like eHarmony, PlentyOfFish, Chemistry and others!!!
They mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
What comes after the pure Social Networking model?
My bet: The Next Big Investment Opportunity on the Internet will be .... Personalization!
Personality Based Recommender Systems and Strict Personality Based Compatibility Matching Engines for serious Online Dating proposals with the normative 16PF5 personality test. The market remains enormous!!

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