Behavioral matching: complete waste of time, because behavioural matching can not outperform personality matching methods.
Big data dating IS NOT the key to long-lasting romance
SmartPick feature from Zoosk (formerly known as Zoosk's Scientific Matchmaking Service (ZSMS) ) is only a Behavioural Recommender System like Synapse from Match or UltraMatch from PlentyOfFish (POF) and Behavioural Recommender Systems CAN NOT outperform compatibility matching engines based on personality similarity. Several times I had written about punches to behavioural matching algorithms like the one used at Match, the one used at Zoosk, and the one used at PlentyOfFish (POF).
Behavioural recommender systems or other system that learns your preferences are useless for serious online dating purposes and 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.
Several times I had posted about punches to Behavioural Recommender Systems / Recommendation Engines for Online Dating sites:
NEW and FRESH paper, punch to Behavioural Recommenders.
a big punch to Behavioural Recommender Systems
Two papers debunking speeddating for serious dating
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).
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. (FORGET Behavioural recommender systems or other system that learns your preferences)
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!
The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement. It does need "a 100 times better improvement", not 100% better, 100X better == a big INNOVATION.
The Online Dating Industry needs a very powerful algorithm like the "Teller Ulam design". In this case 100 times more powerful than actual matching algorithms.