Online dating sites use market metaphors to match people.Match metaphors are conceptual frameworks that allow individuals to make sense of new concepts by drawing upon familiar experiences and frame-works.The proposed system is evaluated on the dataset collected from an online dating network.Empirical analysis shows that the recommendation success rate has increased to 31% as compared to the baseline success rate of 19%. Although carefully collected, accuracy cannot be guaranteed. Differing provisions from the publisher's actual policy or licence agreement may be applicable.However, those statistics are not verified by the empirical results of the present study.ABSTRACT: Due to the change in attitudes and lifestyles, people expect to find new partners and friends via various ways now-a-days.However, the existing recommendation techniques such as content-based, collaborative filtering or hybrid techniques focus on users explicit contact behaviors but ignore the implicit relationship among users in the network.
Internet dating service providers are gaining increased acceptance though successful use of customized software that helps generate a potential valued-added match for the masses.
Online dating networks create a network for people to meet each other and allow making contact with different objectives of developing a personal, romantic or sexual relationship.