@inproceedings{0426b3da06654a56925065c53169649e,
title = "Combining collaborative filtering with personal agents for better recommendations",
abstract = "Collaborative filtering (CF) shows potential to combine personal information filtering (IF) agents and the opinions of a community of users to produce better recommendations than either agents or users can produce alone. Using CF to create a personal combination of a set of agents produces better results than either individual agents or other combination mechanisms. Overall, users can avoid having to select among agents; they can use them all and let the CF framework select the best ones for them.",
author = "Nathaniel Good and Schafer, {J. Ben} and Konstan, {Joseph A.} and Al Borchers and Badrul Sarwar and Jon Herlocker and John Riedl",
year = "1999",
month = jan,
day = "1",
language = "English (US)",
isbn = "0262511061",
series = "Proceedings of the National Conference on Artificial Intelligence",
publisher = "AAAI",
pages = "439--446",
booktitle = "Proceedings of the National Conference on Artificial Intelligence",
note = "Proceedings of the 1999 16th National Conference on Artificial Intelligence (AAAI-99), 11th Innovative Applications of Artificial Intelligence Conference (IAAI-99) ; Conference date: 18-07-1999 Through 22-07-1999",
}