Many useful algorithms for processing images and geometry fall under the general framework of high-dimensional Gaussian ļ¬ltering. This family of algorithms includes bilateral ļ¬...
Traditionally, collaborative ļ¬ltering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of usersā ratings for items. It assumes that the usersā previously recorded ratin...
We propose a fully decentralized collaborative ļ¬ltering approach that is self-organizing and operates in a distributed way. The relevances between downloading ļ¬les (items) are...
Jun Wang, Marcel J. T. Reinders, Reginald L. Lagen...