The Much advancement has lately occurred in eCommerce systems’ interfaces. Product specifications listings combined with pictures is no longer considered the benchmark for eComm...
This paper presents how ad-hoc co-located collaborations can be supported with an arbitrary number of users that only have acces to small-size mobile displays. Our approach is bas...
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Software agents offer a promise to change electronic commerce trading by helping traders to purchase products based on their interests and preferences. E-commerce systems are incr...
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...