Title :
A study of user behavior on an online dating site
Author :
Peng Xia ; Ribeiro, Bernardete ; Chen, Ci ; Benyuan Liu ; Towsley, Don
Author_Institution :
Dept. of Comput. Sci., Univ. of Massachusetts Lowell, Lowell, MA, USA
Abstract :
Online dating sites have become popular platforms for people to look for potential romantic partners. It is important to understand users´ dating preferences in order to make better recommendations on potential dates. 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 real-world dateset from a major online dating site in China. Our study provides a firsthand account of the user online dating behaviors in China, a country with a large population and unique culture. The results can provide valuable guidelines to the design of recommendation engine for potential dates.
Keywords :
recommender systems; social aspects of automation; social networking (online); China; message sending; online dating site; recommendation engine; replying actions; user attributes; user dating preferences; user online dating behaviors; Conferences; Correlation; Educational institutions; Psychology; Receivers; Social network services;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON