Thursday, May 19, 2016

PAPER "AN EFFICIENT SIMILARITY-BASED MODEL FOR WEB SERVICE RECOMMENDATION"

[PDF] AN EFFICIENT SIMILARITY-BASED MODEL FOR WEB SERVICE RECOMMENDATION



Similarity is a word that has different meanings for different persons or companies, it exactly depends on how mathematically is defined.
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/05/paper-improving-recommender-systems.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/05/paper-recommendations-beyond-ratings.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/04/paper-hybrid-personalized-recommender.html 

http://onlinedatingsoundbarrier.blogspot.com.ar/2016/02/paper-spatial-cascaded-model-for.html
 
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)
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/03/paper-tensor-methods-and-recommender.html
 
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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/04/paper-predicting-personality-traits.html
In case you had not noticed, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry. 
 


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.  LIFEPROJECT METHOD  



Please see also:
PAPER Recommender System with Composite Social Trust Networks

PAPER Identifying Opportunities for Valuable Encounters: Toward Context-Aware Social Matching Systems
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/07/paper-toward-context-aware-social.html

PAPER Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/10/paper-recommender-systems-supporting.html

PAPER Personalized Recommendation Combining User Interest and Social Circle
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/08/paper-personalized-recommendation.html


PAPER Online social trust reinforced personalized recommendation
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/04/paper-online-social-trust-reinforced.html

BOOK: Recommender Systems, The Textbook
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/04/book-recommender-systems-textbook.html


PAPER: Trinity: Walking on a User-Object-Tag Heterogeneous Network for Personalised Recommendations
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/05/paper-trinity-walking-on-user-object.html

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