Mobile technologies are deployed into diverse social, cultural, political and geographic settings, and incorporated into diverse forms of personal and collective mobility. We pres...
The human behavior modeling community has traditionally been divided into those addressing individual behavior models, and those addressing organizational and team models. And yet...
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...