In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Abstract. This paper describes an approach to product recommendation that combines in a novel way content- and collaborative-based filtering techniques. The system helps the user ...
Francesco Ricci, Adriano Venturini, Dario Cavada, ...
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused ...
Zekeriya Erkin, M. Beye, T. Veugen, Reginald L. La...
Managing problem tickets is a key issue in the IT services industry. A large service provider may handle thousands of problem tickets from its customer on daily basis. The efficie...
Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos A...