Recommender system for online dating service
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.
Also it takes into account women under hormonal treatment because several studies showed contraceptive pills users make different mate choices, on average, compared to non-users.
The Saa S recommender systems are: Most of the non-Saa S recommender systems that are open-source.
This may have been because recommender systems are more tailored to clients so not easily made into a product.
So a personalized recommender system would increase the fraction of suitable matches found by more than the numbers above suggest. The dataset was made available by Vaclav Petricek and is available at
It contains 17 million ratings of profiles by ~135k users in total. A quick look at the dating website Libim Se shows that the primary information that profiles contain are photos, suggesting that the ratings can be interpreted as being primarily ratings of attractiveness.In case you had not noticed, recommender systems are morphing to ..........