A survey of trust in social networks

W Sherchan, S Nepal, C Paris - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
Web-based social networks have become popular as a medium for disseminating
information and connecting like-minded people. The public accessibility of such networks …

Social recommendation: a review

J Tang, X Hu, H Liu - Social Network Analysis and Mining, 2013 - Springer
Recommender systems play an important role in helping online users find relevant
information by suggesting information of potential interest to them. Due to the potential value …

[PDF][PDF] 个性化推荐系统综述

王国霞, 刘贺平 - 计算机工程与应用, 2012 - 0xsky.com
信息超载是目前网络用户面临的一个严重问题, 个性化推荐系统是解决该问题的一个有力工具,
并受到了众多的关注和研究. 给出推荐系统的定义, 同时阐述了推荐系统的几项关键技术 …

Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems

Q Wu, H Zhang, X Gao, P He, P Weng, H Gao… - The world wide web …, 2019 - dl.acm.org
Social recommendation leverages social information to solve data sparsity and cold-start
problems in traditional collaborative filtering methods. However, most existing models …

[HTML][HTML] A content-based recommender system for computer science publications

D Wang, Y Liang, D Xu, X Feng, R Guan - Knowledge-based systems, 2018 - Elsevier
As computer science and information technology are making broad and deep impacts on
our daily lives, more and more papers are being submitted to computer science journals and …

Social collaborative filtering by trust

B Yang, Y Lei, J Liu, W Li - IEEE transactions on pattern …, 2016 - ieeexplore.ieee.org
Recommender systems are used to accurately and actively provide users with potentially
interesting information or services. Collaborative filtering is a widely adopted approach to …

Collaborative filtering recommender systems

MD Ekstrand, JT Riedl, JA Konstan - Foundations and Trends® …, 2011 - nowpublishers.com
Recommender systems are an important part of the information and e-commerce ecosystem.
They represent a powerful method for enabling users to filter through large information and …

Recommender systems: from algorithms to user experience

JA Konstan, J Riedl - User modeling and user-adapted interaction, 2012 - Springer
Since their introduction in the early 1990's, automated recommender systems have
revolutionized the marketing and delivery of commerce and content by providing …

Explaining the user experience of recommender systems

BP Knijnenburg, MC Willemsen, Z Gantner… - User modeling and user …, 2012 - Springer
Research on recommender systems typically focuses on the accuracy of prediction
algorithms. Because accuracy only partially constitutes the user experience of a …

[图书][B] Management information systems: Managing the digital firm

KC Laudon, JP Laudon - 2004 - books.google.com
Information systems knowledge is essential for creating competitive firms, managing global
corporations, and providing useful products and services to customers. This book introduces …