Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
Recommendation systems are widely used on the Internet to assist customers in finding the products or services that best fit with their individual preferences. While current imple...
Jochen Malinowski, Tobias Keim, Oliver Wendt, Tim ...
- Many software development platforms provide a large number of library components to make it easy to build high quality software. On the other hand, it became more and more diffic...