Abstract
Being a popular social network type, online dating sites provide a platform for people to find partners for establishing a relationship. In this study, a recommendation engine for one of the prominent online dating sites of Turkey is developed. It works as a support system to suggest potential matches to the site users. As opposed to the traditional systems that match users based on their revealed preferences, the engine is based on a rule set extracted from the past communication data, using association rule mining. A list of best matches based on scoring derived from these rules is presented. The performance of the engine is statistically tested. It is found that the scores of matching couples are found to be significantly higher than the non-matched couples’ scores.
Highlights
Social networking communities are defined as online communities that focus on the building and verifying of social networks (Romm and Setzekorn, 2009)
As opposed to the traditional systems that match users based on their revealed preferences, the engine is based on a rule set extracted from the past communication data, using association rule mining
The aim of this study is to develop a recommendation engine for the web site working as a support system for the site members, which is capable to output automatically best matches for the user
Summary
Social networking communities are defined as online communities that focus on the building and verifying of social networks (Romm and Setzekorn, 2009). These services provide web sites and other tools for the users who have particular demands and expectations from starting a relationship online In these web sites, users can create personal ads, known as “profiles”, which allow them to submit information about themselves; including their age, gender, location, physical attributes, socio-cultural status and daily habits. If the user receives a response, a conversation usually starts and continues up to three or four messages that follow each other, which end up with an exchange of real e-mail addresses, phone numbers, or user names in major instant messaging services This is the point where users leave the siberalem.com platform and continue the relationship in other media.
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