Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...
Inexpensive data collection and storage technologies and a global thirst for information have led to data repositories so large that users may become disoriented and unable to loc...
The heterogeneity and unpredictability of grid computing environments is a severe challenge to algorithm selection for large-scale scientific codes. This paper discusses a set of ...
Prachi Bora, Calvin J. Ribbens, Sandeep Prabhakar,...
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...