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Advanced research dating behavior

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The message sending and replying actions of a user are strong indicators for what he/she is looking for in a potential date and reflect the user's actual dating preferences.We study how users' online dating behaviors correlate with various user attributes using a large real-world dateset from a major online dating site in China.Understanding the role social and digital media play in these romantic relationships is critical, given how deeply enmeshed these technology tools are in lives of American youth and how rapidly these platforms and devices change.This study reveals that the digital realm is one part of a broader universe in which teens meet, date and break up with romantic partners.Many of our results on user messaging behavior align with notions in social and evolutionary psychology: males tend to look for younger females while females put more emphasis on the socioeconomic status (e.g., income, education level) of a potential date.In addition, we observe that the geographic distance between two users and the photo count of users play an important role in their dating behaviors.According to societal stereotypes, women with physical disabilities are asexual and therefore do not date.

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In a landmark series of studies from the 2000s, Sentient showed how the measurement of moisture produced in the palms (an often imperceptible measure of arousal) could be used as a quantitative input in consumer choice models to more accurately predict behavior (Reid & Gonzalez-Vallejo, 2009).

Themes emerging from their stories indicated that the timing of onset of disability, and the response to disability of family, friends, and society in general, were critical in establishing patterns of dating behavior for women with physical disabilities.

Online dating is increasingly popular, and yet misinformation about the industry abounds.

We also find that both males and females are more likely to reply to users whose attributes come closest to the stated preferences of the receivers, and there is significant discrepancy between a user's stated dating preference and his/her actual online dating behavior.

These results can provide valuable guidelines to the design of a recommendation engine for potential dates.