Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
Modern feature-rich telecommunications services offer significant opportunities to human users. To make these services more usable, facilitating personalisation is very important s...
Tarik Hadzic, David Lesaint, Deepak Mehta, Barry O...
Abstract--Although temporal context may significantly affect the popularity of items and user preference over items, traditional information filtering techniques such as recommende...
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...