"New dating app matches people based on the music they listen to on their phone"

 

https://www.mirror.co.uk/news/uk-news/new-dating-app-matches-people-25140675

Could Spotify Become the New Online Matchmaking App?
https://onlinedatingsoundbarrier.blogspot.com/2019/11/could-spotify-become-new-online.html

Facebook has launched its newest venture, a music app called Aux
https://onlinedatingsoundbarrier.blogspot.com/2019/11/facebook-has-launched-its-newest.html

Tastebuds, another HOAX
https://onlinedatingsoundbarrier.blogspot.com/2012/05/tastebuds-another-hoax.html

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  
Online Dating sites 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 16PF6 test instead and another method to calculate similarity.

Breaking "the online dating sound barrier" is to achieve at least:
3 most compatible persons in a 100,000 persons database.
12 most compatible persons in a 1,000,000 persons database.
48 most compatible persons in a 10,000,000 persons database.
100 times better than Compatibility Matching Algorithms used by actual online dating sites!
High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.

Without offering the NORMATIVE 16PF6 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry.

Could Spotify Become the New Online Matchmaking App?

https://interestingengineering.com/could-spotify-become-the-new-online-matchmaking-app
 
ARTICLE: Dating app Bumble is partnering with Spotify to help you find suitors who share your music taste
https://onlinedatingsoundbarrier.blogspot.com/2016/06/article-dating-app-bumble-is-partnering.html
https://onlinedatingsoundbarrier.blogspot.com/2016/09/tinder-will-use-spotify-to-show-your.html

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  
Online Dating sites 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 16PF6 test instead and another method to calculate similarity.

Breaking "the online dating sound barrier" is to achieve at least:
3 most compatible persons in a 100,000 persons database.
12 most compatible persons in a 1,000,000 persons database.
48 most compatible persons in a 10,000,000 persons database.
100 times better than Compatibility Matching Algorithms used by actual online dating sites!
High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.

Without offering the NORMATIVE 16PF6 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry.

Tastebuds, another HOAX

Tastebuds is a HOAX, if you like song A and other woman likes song A also, that does not mean you and that woman like each other. Moreover profiling by music preferences to assess personality
video preferences to assess personality
color preferences to assess personality
bookmarks preferences to assess personality
handwriting analysis to assess personality
purchases and buying trends from credit cards to assess personality
and other methods like them
add a lot of distortion to the measurement.


See also:
 Auralist: Introducing Serendipity into Music Recommendation.

ASoundMatch and Behavioural Recommender Systems 

The Online Dating Industry is performing like the Pharmaceutical and Cosmetic Industry before the USA Food and Drug Administration was created.
There is no/weak Legislation, no ID verification, low reliable background checks, no Quality Norms like ISO 9001:2008 for customer service, except for the Indian company Shaadi.
The entire Online Dating Industry for serious daters in 1st World Countries is a HOAX, performing as a Big Online Casino, with a low effectiveness/efficiency level of their matching algorithms (less than 10%).

C-Level executives are more worried about their golf scores than their company's long term strategy and innovations.

The Online Dating Industry needs to kill the Matchmaking Industry, like computers killed typewriters.
The biggest scammers are not from Ghana or Nigeria. They are precisely marketing executives from big sites. They use credit card billing trickery.
Lack Of Innovation & Decadence can summarize the Online Dating Industry since years. Innovations are not adding more bells and whistles to actual online dating sites. Or launching new ones with the same stupidities as the old ones.


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.

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.