One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
Enterprises more and more collaborate with other enterprises in networked organizations. Such collaborations require the business processes of the partner companies to be aligned ...
The availability of a good interface for online user collaboration has been a sore point for most collaboration applications to date. While MUD’s, MOO’s, IRC and other chat ap...
Abstract. Current CAPTCHAs require users to solve objective questions such as text recognition or image recognition. We propose a class of CAPTCHAs based on collaborative filterin...
In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtain...