GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Communications of the ACM
PHOAKS: a system for sharing recommendations
Communications of the ACM
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
IEEE Internet Computing
Usability Metrics: Tracking Interface Improvements
IEEE Software
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Proceedings of the 10th international conference on Intelligent user interfaces
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
A hybrid web recommender system based on Q-learning
Proceedings of the 2008 ACM symposium on Applied computing
Collaborative Filtering for Implicit Feedback Datasets
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Using social data as context for making recommendations: an ontology based approach
Proceedings of the 1st Workshop on Context, Information and Ontologies
Comparison of implicit and explicit feedback from an online music recommendation service
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
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Behaviour & Information Technology - Social Networks and Learning Environments
Recommendation System based on user interaction data applied to intelligent electronic books
Computers in Human Behavior
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Computers in Human Behavior
Knowledge-Based Systems
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards a journalist-based news recommendation system: The Wesomender approach
Expert Systems with Applications: An International Journal
Hybrid recommendation approaches for multi-criteria collaborative filtering
Expert Systems with Applications: An International Journal
MDCI: Model-driven continuous integration
Journal of Ambient Intelligence and Smart Environments - Home-based Health and Wellness Measurement and Monitoring
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The goal of this research is to define and capture a series of parameters that allowed us to perform a comparative analysis and find correlations between explicit and implicit feedback on recommender systems. Most of these systems require explicit actions from the users, such as rating, and commenting. In the context of electronic books this interaction may alter the patterns of reading and understanding of the users, as they are asked to stop reading and rate the content. By simulating the behavior of an electronic book reader we have improved the feedback process, by implicitly capturing, measuring, and classifying the information needed to discover user interests. In these times of information overload, we can now develop recommender systems that are mostly based on the user's behavior, by relying on the obtained results.