Reciprocal Recommendation System for Online Dating

Online dating sites have become popular platforms for people to look for potential romantic partners. Different from traditional user-item recommendations where the goal is to match items (e.g., books, videos, etc) with a user's interests, a recommendation system for online dating aims to match people who are mutually interested in and likely to communicate with each other. 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. A reciprocal score that measures the compatibility between a user and each potential dating candidate is computed and the recommendation list is generated to include users with top scores. The performance of our proposed recommendation system is evaluated on a real-world dataset from a major online dating site in China. The results show that our recommendation algorithms significantly outperform previously proposed approaches, and the collaborative filtering-based algorithms achieve much better performance than content-based algorithms in both precision and recall. 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 towards their attractiveness to potential dates, while females are more conscientious to their own attractiveness to the other side of the line

Dating_MissRepresentation.Com: Black Women\u27s Lived Love-Hate Relationship With Online Dating

The increased use of online dating sites has further encouraged corporations’ attempts to capitalize on these mate-seeking trends. Match.com, eHarmony, and OkCupid are primary competitors in a growing market of individuals seeking out potential romantic partners. They offer several mainstream dating options as well as niche-dating sites. Similar to society at large where dating still occurs offline, scholars have revealed that racial hierarchies exist within various online platforms. As such, the roles of gender and ethnicity in online dating environments merit study. Specifically, the experiences of Black women who use Internet dating sites, a virtually unexplored demographic, form the basis of this dissertation. This study consisted of 16 interviews and a demographic survey, which were used to examine Black women’s online dating experiences from their perspectives to determine whether or not online dating sites are productive, love-seeking spaces. Data analysis was conducted utilizing a Google Form survey to collect demographic data and NVivo 11 qualitative software to help generate themes that guided analysis. Themes that emerged included: negative and positive perceptions from men; physical and non-physical attributes participants possessed that men found attractive; whether or not men’s perceptions impacted interview participants’ success or failure in online dating, and whether or not participants viewed their online dating experiences to be in line with those of other Black women. Participants discussed how perceptions from men online influenced their racially-gendered online dating experience

Understanding the receptivity of users towards a marketing campaign on Tinder

In a world driven by Social Media, marketers have shifted their focus to digital marketing. Consequently, the exhaustive amount of advertising on the most successful Social Media networks has been caused fatigue to its users, and therefore, the need to create unique advertising has been a major key success factor when it comes to marketing planning. In this study, the Social Media app Tinder, holding around 300 million of users worldwide, was tested as a possible marketing tool for digital advertising – to avoid the mass advertising present on the most popular social networks. This study aims to analyze Tinder users’ responsiveness towards a marketing campaign promoting a Portuguese clothing website. A total of 411 users’ reactions were obtained and put under text mining analysis to calculate each reaction on a sentiment scale. The results showed a large acceptability towards the clothing website marketing campaign on the app, an encouragement to marketers to think ahead of the most obvious Social Media platforms when it comes to marketing strategies.Num mundo impulsionado pelas redes sociais, os marketers alteraram o seu foco para o marketing digital. Consequentemente, a quantidade exaustiva de publicidade nas redes sociais mais bem-sucedidas começa a causar fatiga aos seus usuários, portanto a necessidade de criar anúncios únicos tem sido um fator importante de sucesso quando se trata de planeamento de marketing. Neste estudo, a rede social Tinder, que detém cerca de 300 milhões de usuários globalmente, foi testada como uma possível ferramenta de marketing para publicidade digital – de modo evitar a publicidade em massa presente nas redes sociais mais populares. Este estudo pretende analisar a recetividade dos utilizadores do Tinder perante uma campanha de marketing a promover uma loja de roupa online em Portugal. Um total de 411 reações foram obtidas e colocadas sob análise de mineração de texto para calcular cada reação numa escala de sentimentos. Os resultados apresentam uma grande aceitação em relação à campanha de marketing na aplicação, um incentivo para os marketers refletirem além das redes sociais mais óbvias quando se trata de estratégias de marketing

a generational approach

Rita, P., Ramos, R. F., Moro, S., Mealha, M., & Radu, L. (2020). Online dating apps as a marketing channel: a generational approach. European Journal of Management and Business Economics, 30(1), 1-17. https://doi.org/10.1108/EJMBE-10-2019-0192Purpose: This study aims to understand if an online dating app is considered an acceptable channel to conduct advertising activities and understand the differences between Generations X, Y and Z for such acceptance. Design/methodology/approach: A total of 411 Tinder users’ reactions were obtained and analyzed using text mining to compute the sentiment score of each response, and a Kruskal–Wallis H test to verify if there are statistical differences between each generation. Findings: The results showed positive acceptability toward the marketing campaign on Tinder, especially Z Generation. Nevertheless, the statistical analysis revealed that the differences between each generation are not statistically significant. Research limitations/implications: The main limitation relates to the fact that the participants, during the data collection, revealed their identification, perhaps leading to acquiescence bias. In addition, the study mainly covered the male population. A balanced sample would be positive to examine any possible differences between gender. Practical implications: Results provide an essential indication for companies regarding their marketing activities conducted on Tinder to fully exploit the possibility of using Tinder as an alternative and valuable channel to conduct marketing activities. Originality/value: Up until now, no studies tried to understand the effect of a marketing activity online on an online dating app.publishersversionpublishe

Recommender Systems for Online Dating

Users of large online dating sites are confronted with vast numbers of candidates to browse through and communicate with. To help them in their endeavor and to cope with information overload, recommender systems can be utilized. This thesis introduces reciprocal recommender systems that are aimed towards the domain of online dating. An overview of previously developed methods is presented, and five methods are described in detail, one of which is a novel method developed in this thesis. The five methods are evaluated and compared on a historical data set collected from an online dating website operating in Finland. Additionally, factors influencing the design of online dating recommenders are described, and support for these characteristics are derived from our historical data set and previous research on other data sets. The empirical comparison of the five methods on different recommendation quality criteria shows that no method is overwhelmingly better than the others and that a trade-off need be taken when choosing one for a live system. However, making that trade-off decision is something that warrants future research, as it is not clear how different criteria affect user experience and likelihood of finding a partner in a live online dating context

Swipe Right into a Disciplinary Hearing: How The Use of Dating Apps Could Earn an Attorney More Than a Bad First Date

The Model Rules of Professional Conduct seek to police the conduct of attorneys. Each jurisdiction adopts its own rules of professional conduct to apply to the attorneys licensed within it. Notably, the model rules prohibit any sexual relationship between the attorney and client unless that relationship precedes the attorney-client relationship. Traditionally, defining a sexual relationship was simple, particularly if the attorney and client engaged in sexual intercourse. The introduction of dating apps, however, has blurred the line. This article outlines the inherent risks of attorneys using dating apps at a time when most newly-licensed attorneys make up the majority of dating app users by drawing similarities between real world sexual relationships and those that can be found alone. This article seeks to warn new attorneys of these risks, as well as offer a basic policy outline for law firms and other employers of attorneys to implement until the model rules can catch up to this new reality

Romantic regressions : an analysis of behavior in online dating systems

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004.Includes bibliographical references (p. 65-68).Online personal advertisements have shed their stigma as matchmakers for the awkward to claim a prominent role in the social lives of millions of people. Web sites for online dating allow users to post lengthy personal ads, including text and photos; search the database of users for potential romantic partners; and contact other users through a private messaging system. This work begins with psychological and sociological perspectives on online dating and discusses the various types of online dating Web sites. Next, it presents an analysis of user behavior on one site in particular, which has more than 57,000 active users from the United States and Canada. A demographic description of the population is given, and then 250,000 messages exchanged by the active users over an eight-month period are analyzed. An examination of which characteristics are "bounding" finds that life course attributes such as marital status and whether one wants children are most likely to be the same across the two users in a dyadic interaction. To understand which characteristics are important to users in deciding whom to contact, regression models show the relative strength of a variety of attributes in predicting how many messages a user with those attributes will receive. By far the strongest predictor of messages received is the number of messages sent. For men, age, educational level, and self-rated physical attractiveness are the next most important qualities. For women, they are not being overweight, self-rated physical attractiveness, and having a photo. Finally, a discussion of the design implications of these findings and other design issues follow the results.Andrew Rocco Tresolini Fiore.S.M