Recommendations in Signed Social Networks Jiliang Tang‡ , Charu Aggarwal# , and Huan Liu† † Computer Science & Engineering, Arizona State University, Tempe, AZ, USA ‡

Source URL: gdac.uqam.ca

TRecSo: Enhancing Top-k Recommendation With Social Information ∗ Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu† Dept. of Computer Science and Engineering

Source URL: gdac.uqam.ca

• Information science
• Collective intelligence
• Recommender systems
• Information retrieval
• Collaboration
• Social information processing
• Information systems
• Collaborative filtering
• Matrix factorization
• Machine learning
• Personalization

Intern Position Internship in an Indian multinational company providing IT services Field: IT, economics, social and political sciences, engineering Organization: It is one of the leading Indian IT companies which offers

Source URL: www.bayind.de

An Efficient Spectral Algorithm for Network Community Discovery and Its Applications to Biological and Social Networks Jianhua Ruan and Weixiong Zhang Department of Computer Science and Engineering Washington University

Source URL: cs.utsa.edu

Honeybot, Your Man in the Middle for Automated Social Engineering Tobias Lauinger, Veikko Pankakoski, Davide Balzarotti, Engin Kirda EURECOM Sophia-Antipolis, France {lauinger, pankakos, balzarot, kirda}@eurecom.fr

Source URL: seclab.ccs.neu.edu

STEM Fields: Science, Technology, Engineering and Mathematics Social Sciences Agriculture Architecture

Source URL: comexus.org.mx

Demo Abstract: Real-time Heterogeneous Edge Computing System for Social Sensing Applications Yue Zhang, Nathan Vance, and Dong Wang Department of Computer Science and Engineering University of Notre Dame

Source URL: 2018.rtas.org

Social paper: Edgard A. Lamounier Jr. Introduction I am a full professor in the Faculty of Electrical Engineering at the Federal University of Uberlândia (UFU), Brazil. My research area is related to the use of Virtual

Source URL: mentalhealth.media.mit.edu

Social Relations Model for Collaborative Filtering Wu-Jun Li† and Dit-Yan Yeung‡ † Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering, Shanghai Jiao Tong Univer

Source URL: cs.nju.edu.cn

Spatial Influence vs. Community Influence: Modeling the Global Spread of Social Media Krishna Y. Kamath, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station,

Source URL: faculty.cse.tamu.edu