We are going to see how to do recommendation with graphs. Of course, the same approach could be applied to other domains like retail.
In order to show how to use graphs to write recommendation algorithms, we are going to use a fake dataset.
Our results also reveal interesting behavioral difference between male and female users when it comes to looking for potential dates.
In particular, males tend to be focused on their own interest and oblivious toward their attractiveness to potential dates, while females are more conscientious to their own attractiveness to the other side of the line.
Graph technologies are very good for recommendation.
It is no wonder that the biggest online dating websites are using it.
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Unlike other free over 50s dating sites, we don’t think that age is the most important factor in dating, which is why we specialise in helping every generation find meaningful relationships with like-minded singles.We introduce similarity measures that capture the unique features and characteristics of the online dating network, for example, the interest similarity between two users if they send messages to same users, and attractiveness similarity if they receive messages from same users.