GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Learning Similarity Matching in Multimedia Content-Based Retrieval
IEEE Transactions on Knowledge and Data Engineering
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Unifying collaborative and content-based filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Collaborative recommendation: A robustness analysis
ACM Transactions on Internet Technology (TOIT)
Collaborative Filtering Using a Regression-Based Approach
Knowledge and Information Systems
IEEE Transactions on Knowledge and Data Engineering
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
A probabilistic music recommender considering user opinions and audio features
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Persuasion in Recommender Systems
International Journal of Electronic Commerce
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Alleviating the sparsity problem of collaborative filtering using trust inferences
iTrust'05 Proceedings of the Third international conference on Trust Management
Hi-index | 12.05 |
A simulated online shopping environment with a recommender system based on collaborative filtering data has been developed to empirically test the impact of recommendation agents in an online retail environment. The report provides some background for the most widely used types of recommender system based on collaborative filtering. The Movie Magic system developed for this study is described, as well as the experiment assessing the impact of such an agent on product promotion effectiveness, customer satisfaction with the website, and customer loyalty to the website. Finally, the report discusses the implications of the results for system developers and managers interested in using Intelligent Agent technology for enhancing e-commerce. By corroborating the proposed relationships between the use of the recommender agent and improved product promotion, customer satisfaction and loyalty, the results should aid online businesses in further understanding the benefits and limitations of using a recommender agent to support e-commerce.