Publication Date
2008
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Similarity-based recommender systems suffer from significant limitations, such as data sparseness and scalability. The goal of this research is to improve recommender systems by incorporating the social concepts of trust and reputation. By introducing a trust model we can improve the quality and accuracy of the recommended items. Three trust-based recommendation strategies are presented and evaluated against the popular MovieLens [8] dataset.
Recommended Citation
Mori, Kristen, "Trust-Networks in Recommender Systems" (2008). Master's Projects. 99.
DOI: https://doi.org/10.31979/etd.mx3m-usdr
https://scholarworks.sjsu.edu/etd_projects/99
