Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-17 Cooperative journals: 《计算机应用研究》
Abstract： In view of the traditional recommendation algorithm ignoring the impact of social behavior of users, the incomprehensive research perspective and lack of physical explanation, a recommendation algorithm was proposed that integrated social behavior and tagging behavior of users. Firstly, the attractiveness between user nodes in social network was calculated by gravity model to measure the similarity of users' social behavior. Secondly, the user's favorite object model was constructed by label information, the gravitation formula was also used to calculate the gravitation between favorite objects to measure the similarity of tagging behavior. Finally, the paper introduced the variables to weigh the proportion of two similar values, and then got the set of neighbors and generated recommendations. Experimental results using Last. fm dataset showed that the proposed algorithm had higher precision and recall.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-12 Cooperative journals: 《计算机应用研究》
Abstract： From the perspective of a global green and low-carbon environment, an efficient green supply and demand system is constructed; and this paper studied a low-carbon supply and demand network system based on newsvendor model. Under the low-carbon background, LCSDN model with wholesale price contract is established and solved by Stackelberg game considering no carbon emission, carbon tax, mandatory carbon emissions capacity, cap & trade Regulation. Through numerical simulation, it is verified that the traditional wholesale price contract cannot achieve the coordination of LCSDN under low carbon policy. , it is found that the profits decrease as the carbon tax price increases. When the carbon emissions of enterprises exceed the quota of carbon, the profit of manufacturers decreases with the reduction of carbon quotas. In the case of carbon quotas and transactions, the optimal order quantity of retailers will increase as the price of carbon trading increases lower.
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