Hi there.
Today I am writing about one very important subject. This topic is more about geeky, algorithmic stuff. It is about understanding the way people behave on dating sites and how we can predict their future behavior on dating sites.
How's this related to gay world? This will help us to understand what kind of men response well and what kind of men response to no one. It will also help you to understand class of men from where you are most likely to get your next friend or boy friend from. It can help you to understand how much time he will take to respond to your message, how long it will take for him to be on chat before sharing picture or phone number. What is a probability that given person has fake profile or real one? What is the best time to upload your new cute picture so that it will get you maximum new messages? What words in first line of your profile will bring you more views and what are must avoid words? These all things can be traced down by the help of algorithm and historic data. By applying algorithm on historic data and general observatory data you can make the predictions. These predictions can be tested on small audience and if results are positive then these can be deployed on masses.
I am sure that I am not the first one talking about all these things. Big companies and social study agencies have already done huge researches and must have cracked down these codes. But out of us how many know those basics statistics of dating demographics and behavioral patterns of people on dating sites?
With this series of blog what I am trying to bring in front of you is basic observations that can be tested, verified by all of you and with your feedback in comments we can understand the basics of this complex geeky side of this dating world. Within next few posts I will be presenting basic observations and points of previous studies conducted by recognized institutions that can be considered as hypothesis. I am hoping to get your positive support on this project.
Keep in touch. See you son.
Love,
Indian Metro Gay :)
Today I am writing about one very important subject. This topic is more about geeky, algorithmic stuff. It is about understanding the way people behave on dating sites and how we can predict their future behavior on dating sites.
How's this related to gay world? This will help us to understand what kind of men response well and what kind of men response to no one. It will also help you to understand class of men from where you are most likely to get your next friend or boy friend from. It can help you to understand how much time he will take to respond to your message, how long it will take for him to be on chat before sharing picture or phone number. What is a probability that given person has fake profile or real one? What is the best time to upload your new cute picture so that it will get you maximum new messages? What words in first line of your profile will bring you more views and what are must avoid words? These all things can be traced down by the help of algorithm and historic data. By applying algorithm on historic data and general observatory data you can make the predictions. These predictions can be tested on small audience and if results are positive then these can be deployed on masses.
I am sure that I am not the first one talking about all these things. Big companies and social study agencies have already done huge researches and must have cracked down these codes. But out of us how many know those basics statistics of dating demographics and behavioral patterns of people on dating sites?
With this series of blog what I am trying to bring in front of you is basic observations that can be tested, verified by all of you and with your feedback in comments we can understand the basics of this complex geeky side of this dating world. Within next few posts I will be presenting basic observations and points of previous studies conducted by recognized institutions that can be considered as hypothesis. I am hoping to get your positive support on this project.
Keep in touch. See you son.
Love,
Indian Metro Gay :)
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