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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) 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.
IDea S Revenue Management System integrates with the following product: Be On Price is a Big Data company specialized in revenue management technology solutions with over 1,000 hotel clients in more than 14 countries.
Our tools stand out in the market for its simplicity of use and for working with information in real time.
Donald Metzler is a Staff Software Engineer at Google Inc.
Prior to that, he was a Research Assistant Professor at the University of Southern California (USC) and a Senior Research Scientist at Yahoo! He has served as the Program Chair of the WSDM, ICTIR, and OAIR conferences and sat on the editorial boards of all the major journals in his field.
Cenium AS is a Gold awarded development center and partner in the Microsoft Dynamics NAV community.IDea S Integration Partners are technology organizations that develop and support certified integrations with IDea S solutions, enabling a seamless client deployment and collaborating beneficial market and product development initiatives with IDea S.Integration Partners provide either the data for IDea S solutions and/or support deployment of the outputs of IDea S solutions.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.
The performance of our proposed recommendation system is evaluated on a real-world dataset from a major online dating site in China.