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In recommender systems, collaborative filtering technology is an important method to evaluate user preference through exploiting user feedback data, and has been widely used in industrial areas. Diffusion-based recommendation algorithms inspired by diffusion phenomenon in physical dynamics are a crucial branch of collaborative filtering technology, which use a bipartite network to represent collection...
In this paper, we propose a method for point of interest (POI) recommendation by extracting the multi-tag influence and modeling the geographical influence. First of all, we extract a user-tag matrix from the initial user-POI rating matrix by analyzing the relations between POI and the related bag of tags. Secondly, we use the probabilistic factor model to predict the missing data of the extracted...
Nano Science and Technology (S&T) is one of the core areas of S&T competition among developed countries in the 21st century and plays a supporting and leading role in social, economic and technological development. As an emerging international interdisciplinary subject, cooperation is of great significance to the development of Nano S&T. Current studies of international Nano S&T cooperation...
Developing strategic emerging industries is not only the effective means of dealing with financial crisis and achieving economic transformation, but also the vital strategic decision of achieving economic layout and building innovation-oriented country during the Chinese Twelfth Five-Year Plan Period. The paper quantitatively analyzed Chinese policies of strategic emerging industries enacted by the...
With the rapid development of mobile Internet and the explosive growth of intelligent mobile terminals, microblog has become indispensable in many people's daily life but also bring overload information. A recommender system is needed but the traditional collaborative filtering recommendation algorithm is suffered from two main problems here: data sparsity and user relationship influence. In this...
The pet's management involves several government departments and breeders, sellers, feeders, animal clinics, animal protection associations, which form a complex network that can be partitioned into thousands of pet-centric networks. By abstracting social roles from these networks' participating actors, we generalize a structural model of the pet-centric network. This model is divided into three levels:...
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