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KAIS
2011
102views more  KAIS 2011»
13 years 2 months ago
Symbolic data analysis tools for recommendation systems
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
WWW
2011
ACM
13 years 2 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
INFOCOM
2011
IEEE
12 years 11 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
MHCI
2009
Springer
14 years 2 months ago
Improving the recommendation of mobile services by interpreting the user's icon arrangement
The aether soon will be pervaded with a high density of digital services for usage on mobile phones. Personalization plays a crucial role for the success and acceptance of such sy...
Matthias Böhmer, Gernot Bauer
IUI
2000
ACM
14 years 2 days ago
Mining navigation history for recommendation
Although a user’s navigation history contains a lot of hidden information about the relationship between web pages and between users, this information is usually not exploited. ...
Xiaobin Fu, Jay Budzik, Kristian J. Hammond