Arizona State University

Jiliang Tang

Huan Liu

Kai Shu

Jundong Li

Suhang Wang

Xia Hu

Pritam Gundecha

Yilin Wang

Various embodiments of systems and methods for cross media joint friend and item recommendations are disclosed herein.

Systems and methods for a cross media joint friend and item recommendation framework

Systems and methods for exploiting link information in streaming feature selection, resulting in a novel unsupervised streaming feature selection framework are disclosed.

Systems and methods for unsupervised streaming feature selection in social media

Embodiments of a system for determining personal attributes based on public interaction data are illustrated. In one embodiment, the system employs a process for predicting personal attributes based on public interaction data by constructing matrices based on user interactions drawn from public posts on a social media website. The process may further learn a compact representation for a plurality of users based on public posts using the matrices, extract the compact representation of one or more users that have been labeled, and apply a classifier to learn about a particular personal attribute. Through this, a prediction of personal attributes of users that have not been labeled may be obtained.

Systems and methods for predicting personal attributes based on public interaction data

Growing community of inventors

Tempe, AZ, United States of America

Jiliang Tang