Wednesday, January 27, 2016

PAPER: Using Personality Enhanced Item-Based Recommender System for Cold Start

PAPER:[PDF] using personality Enhanced item-based recommender system for cold start

Please see:
PAPER: Birds of a feather ......

PAPER User Similarity Adjustment for Improved Recommendations

Please remember:
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 for years, with low success rates!!! because they mostly use the Big 5 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.

Online Dating sites OFFERING COMPATIBILITY MATCHING METHODS BASED ON PERSONALITY SIMILARITY have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 normative personality test instead.
The same applies for Personality Based Recommender Systems.

Similarity is a word that has different meanings for different persons or companies, it exactly depends on how mathematically is defined.

Please see: "How to calculate personality similarity between users"
Short answer: the key is the ENSEMBLE!
(the whole set of different valid possibilities)

The 8 tips to innovate in the Online Dating Industry!  

The next wave of innovation!

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