Below are the main findings of our prediction model: These studies can provide valuable guidelines to the design of recommendation engine that can match users with mutual interest in each other.
More interesting results can be found in our full paper: Predicting User Replying Behavior on a Large Online Dating Site.
Maybe this is because older adults are wise enough to know that looks have very little to do with whether someone is going to be a kind, loving and caring companion.
Maybe it’s because the physical nature of attractiveness changes when you get older, or maybe they know that being “hot and sexy” is more a function of your personality than how you look.
Our ICWSM 2014 paper extends our previous work to predict user’s reply behavior using a machine learning framework.Based on the profiles of the sender and receiver, as well as their prior communication traces, we seek to accurately predict whether the receiver will reply to initial contact messages from the sender, as illustrated in Figure 2.The ultimate goal is to build a reciprocal commendation system that would match users with mutual interest in each other.Part of this is probably the wisdom that comes with age, but even more significant is an essential truth about how age works.Once you get into your fifties and beyond, the actual number of your age becomes less and less significant.