PAPER Personalized Recommendation Combining User Interest and Social Circle
also new papers:
A Novel Approach Towards Context Based Recommendations Using Support Vector Machine Methodology
Adaptive Sentiment-Aware One-Class Collaborative Filtering
Please see: PAPER ... Toward Context-Aware Social Matching Systems
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).
If you want to be first in the "personalization arena" == Personality Based Recommender Systems, you should understand the ............ Online Dating Industry first of all!
ONLY ONE ROAD TO ACHIEVE INNOVATIONS
The Online Dating Industry needs Innovations, but the innovations the Online Dating Industry needs will come from only one source: the latest discoveries in theories of romantic relationships development with commitment.
Only 3 major discoveries can help to revolutionize the online dating industry.
I) Several studies showing contraceptive pills users make different mate choices, on average, compared to non-users. "Only short-term but not long-term partner preferences tend to vary with the menstrual cycle"
II) People often report partner preferences that are not compatible with their choices in real life. (Behavioural recommender systems or other system that learns your preferences are useless)
III) What is important in attracting people to one another may not be important in making couples happy.
Compatibility is all about a high level on personality similarity between prospective mates for long term mating with commitment.
Please read: The 8 tips to innovate in the Online Dating Industry!