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
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
Combining content and link for classification using matrix factorization
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on 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)
Controversial users demand local trust metrics: an experimental study on Epinions.com community
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Trust relationship prediction using online product review data
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
Object and Combination Shedding Schemes for Adaptive Media Workflow Execution
IEEE Transactions on Knowledge and Data Engineering
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Exploiting social context for review quality prediction
Proceedings of the 19th international conference on World wide web
Temporal Link Prediction Using Matrix and Tensor Factorizations
ACM Transactions on Knowledge Discovery from Data (TKDD)
Recommender systems with social regularization
Proceedings of the fourth ACM international conference on Web search and data mining
Human mobility, social ties, and link prediction
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Link prediction via matrix factorization
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Generating predictive movie recommendations from trust in social networks
iTrust'06 Proceedings of the 4th international conference on Trust Management
Cross-Temporal Link Prediction
ICDM '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining
mTrust: discerning multi-faceted trust in a connected world
Proceedings of the fifth ACM international conference on Web search and data mining
eTrust: understanding trust evolution in an online world
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Integrating social media data for community detection
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
Maximizing acceptance probability for active friending in online social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Unsupervised sentiment analysis with emotional signals
Proceedings of the 22nd international conference on World Wide Web
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Trust plays a crucial role for online users who seek reliable information. However, in reality, user-specified trust relations are very sparse, i.e., a tiny number of pairs of users with trust relations are buried in a disproportionately large number of pairs without trust relations, making trust prediction a daunting task. As an important social concept, however, trust has received growing attention and interest. Social theories are developed for understanding trust. Homophily is one of the most important theories that explain why trust relations are established. Exploiting the homophily effect for trust prediction provides challenges and opportunities. In this paper, we embark on the challenges to investigate the trust prediction problem with the homophily effect. First, we delineate how it differs from existing approaches to trust prediction in an unsupervised setting. Next, we formulate the new trust prediction problem into an optimization problem integrated with homophily, empirically evaluate our approach on two datasets from real-world product review sites, and compare with representative algorithms to gain a deep understanding of the role of homophily in trust prediction.