We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on user’s knowledge o...
Automatic and non-invasive web personalization seems to be a challenge for nowadays web sites. Many web mining techniques are used to achieve this goal. Since current web sites evo...
Recommendations in e–commerce collaborative filtering are based on predicting the preference of a user for a given item according to historical records of other user’s prefere...
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...