Wednesday, September 25, 2013
New tutorial from ESSIR 2013 Recommenders Systems
Last August I has posted about IJCAI-13, the 23rd International Conference on Artificial Intelligence / Beijing, China from August 3-9, 2013.
Now I show you a tutorial of the 9th European Summer School in Information Retrieval from 2-6 September 2013 - Granada, Spain.
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. They need to calculate personality similarity between users but there are different formulas to calculate similarity.
In case you did not notice, recommender systems are morphing to .......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates!!! because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old.
Want to innovate in the Online Dating Industry for serious daters?
Only one road to innovate and revolutionize the Online Dating Industry. Same road to innovate in the Personality Based Recommender Systems arena!