Matrix Factorization Techniques for Context-Aware Collaborative Filtering Recommender Systems: A Survey

For the sample sizes investigated, n=12, 16, and 20, under the finite model (permutations) the coverage of our procedure is equal to the nominal value within tolerance of a

Endocrine Disruptor Screening Program (EDSP) was launched by the EPA in 2009 to begin testing pesticides and other chemicals for estrogenic, thyroid, and androgenic effects on

The issue on race was tumultuous at best, but in the end, the Cherokee Nation sided with the rest of the South once more by upholding racist legislature, “Cherokees had little

For this kind of applications we offer high performance molded sintered friction materials running against mating materials made of steel, cast iron or composite materials.. Because

The microturbine is part of a $1.8 million performance contract with Johnson Controls that also includes solar heating for the city’s outdoor swimming pool, high-efficiency

The survey results (harvests, days fished, etc.) pertaining to recreational saltwater fisheries in Quebec and Newfoundland and Labrador are based on the pre-screening estimates

Unlike content-based recommendation methods, collaborative recommender systems (or collaborative filtering systems) try to predict the utility of items for a particular user based

provides a summary of how this is necessary in the broader space of adaptive user experiences: the system must collect data about users in order to model their preferences and needs