作者
Robert Roedler, Dennis Kergl, Gabi Dreo Rodosek
发表日期
2016
图书
Advances in Nature and Biologically Inspired Computing
页码范围
417-428
出版商
Springer International Publishing
简介
Profile matching in social networks is a challenging problem. There are many previous approaches but all of them rely on data, for which there is no ground truth. Profile information is provided by the users. Therefore, there is no certainty about the reliability of this information. For this reason, we suggest using timestamps, which are generated by the social network, and device-generated geo-tags. We take a closer look at various approaches for implementation of this profile matching algorithm. In addition, possibilities for evaluation of this algorithm are outlined afterwards.
引用总数
20152016201720182019202020212022202314223322
学术搜索中的文章
R Roedler, D Kergl, GD Rodosek - Advances in Nature and Biologically Inspired …, 2016