Communications of the ACM
PHOAKS: a system for sharing recommendations
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/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
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
Recommending from content: preliminary results from an e-commerce experiment
CHI '00 Extended Abstracts on Human Factors in Computing Systems
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Survey Measures of Web-Oriented Digital Literacy
Social Science Computer Review
Social Facilitators and Inhibitors to Online Fluency
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Collaborative filtering recommender systems
The adaptive web
Content-based recommendation systems
The adaptive web
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This paper describes our experience in using modern Web 2.0 architecture, lightweight Python frameworks, and rapid prototyping to create an AI rostering and workforce management system to help prepare for the 2008 Beijing Olympic Equestrian Events, which ...