Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Time weight collaborative filtering
Proceedings of the 14th ACM international conference on Information and knowledge management
Investigating interactions of trust and interest similarity
Decision Support Systems
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Trust-aware recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Predicting trusts among users of online communities: an epinions case study
Proceedings of the 9th ACM conference on Electronic commerce
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
SoRec: social recommendation using probabilistic matrix factorization
Proceedings of the 17th ACM conference on Information and knowledge management
Community gravity: measuring bidirectional effects by trust and rating on online social networks
Proceedings of the 18th international conference on World wide web
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Enriching Trust Prediction Model in Social Network with User Rating Similarity
CASON '09 Proceedings of the 2009 International Conference on Computational Aspects of Social Networks
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Exploiting internal and external semantics for the clustering of short texts using world knowledge
Proceedings of the 18th ACM conference on Information and knowledge management
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
Exploiting social context for review quality prediction
Proceedings of the 19th international conference on World wide web
Modeling relationship strength in online social networks
Proceedings of the 19th international conference on World wide web
Strength of social influence in trust networks in product review sites
Proceedings of the fourth ACM international conference on Web search and data mining
Finding the bias and prestige of nodes in networks based on trust scores
Proceedings of the 20th international conference on World wide web
Harnessing the Crowdsourcing Power of Social Media for Disaster Relief
IEEE Intelligent Systems
Trust and TAM in online shopping: an integrated model
MIS Quarterly
mTrust: discerning multi-faceted trust in a connected world
Proceedings of the fifth ACM international conference on Web search and data mining
Exploiting homophily effect for trust prediction
Proceedings of the sixth ACM international conference on Web search and data mining
TCRec: product recommendation via exploiting social-trust network and product category information
Proceedings of the 22nd international conference on World Wide Web companion
MATRI: a multi-aspect and transitive trust inference model
Proceedings of the 22nd international conference on World Wide Web
Modeling temporal effects of human mobile behavior on location-based social networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Exploring temporal effects for location recommendation on location-based social networks
Proceedings of the 7th ACM conference on Recommender systems
Context-aware review helpfulness rating prediction
Proceedings of the 7th ACM conference on Recommender systems
A paradox for trust and reputation in the e-commerce world
ACSC '13 Proceedings of the Thirty-Sixth Australasian Computer Science Conference - Volume 135
Exploiting local and global social context for recommendation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists studying trust evolution in an online world. Researching online trust evolution faces unique challenges because more often than not, available data is from passive observation. In this paper, we leverage social science theories to develop a methodology that enables the study of online trust evolution. In particular, we propose a framework of evolution trust, eTrust, which exploits the dynamics of user preferences in the context of online product review. We present technical details about modeling trust evolution, and perform experiments to show how the exploitation of trust evolution can help improve the performance of online applications such as rating and trust prediction.