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Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning algorithms from the field of artificial intelligence. However, choosing a suitable machine learning algorithm for a recommender system is difficult because of the number of algorithms described in the literature. Researchers and practitioners developing...
Spatial-temporal computing refers to the modeling, management, and analysis of spatial and temporal information. Despite the recent advances in massive data manipulation, software system approaches that support the massive spatial-temporal data integration and analysis still face numerous challenges, including the lack of: (i) a high-level architectural framework for massive data integration and analysis;...
The proliferation of data often called Big Data has created problems with traditional approaches to data capture, storage, analysis and visualization, thus opening up new areas of research. Machine Learning algorithms are one area that has been used in Big Data for analysis. However, because of the challenges Big Data imposes, these algorithms need to be adapted and optimized to specific applications...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.