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» Putting Users in Control of their Recommendations
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RECSYS
2010
ACM
14 years 8 months ago
RECON: a reciprocal recommender for online dating
The reciprocal recommender is a class of recommender system that is important for several tasks where people are both the subjects and objects of the recommendation. Some examples...
Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chu...
RECSYS
2009
ACM
15 years 4 months ago
Applying relevant set correlation clustering to multi-criteria recommender systems
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
Nkechi Nnadi
RECSYS
2009
ACM
15 years 4 months ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
RECSYS
2009
ACM
15 years 4 months ago
Getting recommender systems to think outside the box
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...
SOUPS
2010
ACM
15 years 2 months ago
Do windows users follow the principle of least privilege?: investigating user account control practices
The principle of least privilege requires that users and their programs be granted the most restrictive set of privileges possible to perform required tasks in order to limit the ...
Sara Motiee, Kirstie Hawkey, Konstantin Beznosov