IJCAI 2013 Tutorial on Recommender Systems

IJCAI 2013 Tutorial on Recommender Systems
August 4, 2013, Bejing, China

Please read also
Improving Recommendation Accuracy Based on Item-Specific Tag Preferences

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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.

Personality Based Recommender Systems are like compatibility matching engines.

Which is the RIGHT approach to innovate in the Personality Based Recommender Systems Arena?
The same approach to innovate in the Online Dating Industry == 16PF5 test or similar to assess personality traits and a new method to calculate similarity between quantized patterns.