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Development in cultural and creative industries means new business opportunities, cultural and creative illustrations loved by people so much, from the virtual characters materialized into a product, not only selling on the Internet, but also have some physical stores. How to increase consumer willingness to purchase cultural and creative products is a question worth considering. However, these cultural...
In this paper, we analyze the features of CDN structure and P2P structure from the view point of operator and stream media content provider according to the new concept of WiiSE-DSN[1]. Based on the high reliability and control ability, we propose one solution of Streaming, which combines both advantages of CDN and P2P, and further discuss its implement and advantage.
With the pervasive participation from the Chinese netizens in the cyberspace, the Human Flesh Search (HFS) is becoming a phenomenon profoundly affecting the public life in China. While hot debate and discussion arise, it is still not clear how the knowledge fragments are gathered by the netizens, and eventually merge to an answer in a HFS. This paper presents a first study to the knowledge aggregation...
Recommender system is one of the most effective technologies to deal with information overload, which has been used in a lot of business systems. Historically, many recommender systems take much focus on prediction accuracy. However, despite their pretty accuracy, they may not be useful to users. A user's preference is full of uncertainty, including randomness and fuzziness. Unfortunately, a fixed...
With the development of on-line forum technology and the pervasive participation of the public, the Human Flesh Search is becoming an arising phenomenon which makes a great impact on our daily life. There arose big research interests in social, legal issues resulted from HFS, however, very little work has been conducted to understand how it comes into being and how it dynamically evolves. This paper...
The content-based image retrieval (CBIR) system aims at searching and browsing the large image digital libraries based on automatically derived imagery features. This paper introduces two algorithms based on the normalized cut for images clustering. We extract the color and texture features for computing the distance between the images, and take advantage of the bipartition method and minimum spanning...
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