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» Feature-Weighted User Model for Recommender Systems
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IUI
2009
ACM
14 years 4 months ago
Context-based page unit recommendation for web-based sensemaking tasks
Sensemaking tasks require users to perform complex research behaviors to gather and comprehend information from many sources. Such tasks are common and include, for example, resea...
Wen-Huang Cheng, David Gotz
CSCW
2006
ACM
14 years 1 months ago
Don't look stupid: avoiding pitfalls when recommending research papers
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan
IUI
2010
ACM
14 years 4 months ago
Personalized news recommendation based on click behavior
Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help user...
Jiahui Liu, Peter Dolan, Elin Rønby Pederse...
CSCW
1998
ACM
14 years 2 days ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
HICSS
2009
IEEE
228views Biometrics» more  HICSS 2009»
14 years 2 months ago
Agents of Diffusion - Insights from a Survey of Facebook Users
In times of web 2.0 and its strong focus on user interaction in business models, entrepreneurs and investors of internet businesses often back up their ambitious growth expectatio...
Rebecca Ermecke, Philip Mayrhofer, Stefan Wagner