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» Integrated personal recommender systems
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ESWS
2008
Springer
15 years 1 months ago
Semantic Reasoning: A Path to New Possibilities of Personalization
Abstract. Recommender systems face up to current information overload by selecting automatically items that match the personal preferences of each user. The so-called content-based...
Yolanda Blanco-Fernández, José J. Pa...
SEMWEB
2004
Springer
15 years 5 months ago
Metadata-Driven Personal Knowledge Publishing
We propose a personal knowledge publishing system called Semblog is realized with integration of Semantic Web techniques and Weblog tools. Semblog suite provides an integrated envi...
Ikki Ohmukai, Hideaki Takeda, Masahiro Hamasaki, K...
CSCW
1998
ACM
15 years 4 months 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, ...
UM
2009
Springer
15 years 6 months ago
How Users Perceive and Appraise Personalized Recommendations
Abstract. Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone...
Nicolas Jones, Pearl Pu, Li Chen
UM
2010
Springer
15 years 4 months ago
A Study on User Perception of Personality-Based Recommender Systems
Our previous research indicates that using personality quizzes is a viable and promising way to build user profiles to recommend entertainment products. Based on these findings, ...
Rong Hu, Pearl Pu