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With the fast development of E-commerce, the magnitudes of users and commodities grow dramastically, resulting in the extremely sparse user rating data. Traditional products' similarity measurement methods perform poorly when facing sparse user rating data. Considering the extreme sparsity of the rating data, collaborative filtering algorithm based on item rating prediction is introduced. Meanwhile...
As one critical enzyme in deconstructing complicated cellulose matrix, endoglucanase (EG) is needed to exhibit high activity and thermostability under severe industrial conditions. Driven by this purpose, EGtf1 (Q08166) and EGtf2 (Q7X2N2), with relatively high specific activities, were selected out of 43 putative EG genes from SWISS-PROT database. These distinguished EGs were successfully overexpressed...
To provide high quality and individuation service of training is the core target of distance education system. With the vigorous development of distance education in recent years, the huge potential of education market and fierce competition bring new opportunities and challenges. Information collection and feedback of learner are important subjects in this field. Several methods of data mining and...
In this paper, we present a new adaptive model for real-time fluid simulation with complex boundaries based on smoothed particle hydrodynamics (SPH) framework. Firstly, we introduce an adaptive SPH framework that is based on our character field function composed of 4 factors: geometrical complexity, boundary condition, physical complexity and complementary condition in terms of the neighboring particle...
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