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In recent years, more and more internet companies trend to fuse their products with personal recommendation functions. Although the idea of this business model satisfies characteristic of Internet industry felicitously, scientists and engineers gradually find out that the effect is worse than they expected. The quality of recommendation is limited by cold start, data sparse, lack of learning contextual...
Driven by the energy crisis and global warming problem, smart grid was proposed in the early 21th century as a solution for the sustainable development of human society. With the two-way communication infrastructure available in smart grids, a current challenge is to interpret and gain knowledge from the collected grid big data to optimize grid operations. Service recommendation techniques provide...
How to recommend appropriate pension services to the elderly is an active research problem in health care fields in recent years. Traditional collaborative filtering(CF) algorithm does not take into account the elderly personalization features, which in turn leads to poor recommendation results. In this paper, an elderly personalization features based CF algorithm was proposed which can makes the...
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