In the past five years, trendy information spread via imported renowned fashion magazines appeared unable to satisfy the industrial needs. Trend books from Milan and Paris have been introduced to big cities in China t...In the past five years, trendy information spread via imported renowned fashion magazines appeared unable to satisfy the industrial needs. Trend books from Milan and Paris have been introduced to big cities in China through official Chinese national agencies, and have gradually drawn more attention within the Chinese fashion industry. Chinese fashion businesses and their designers have difficulties in using the trend book. The main reason is that they don’t understand the whole structure re of the book, the true meaning of the instruction and the way to use the book. Most companies are not using the book in the correct way. However, if no one realizes this is not the right key to the real fashion design world, an incorrect design logic and abnormal production chain will appear in China which will directly produce an unhealthy impact to the country. It’s only possible to catch up and grasp the real European trend with Europe at the same time when the trend books are used correctly.展开更多
The development of microblog services has a considerable etfect on the patterns oI wed access and Internet resources discovery. Understanding the interrelation between information diffusion in online social media and ...The development of microblog services has a considerable etfect on the patterns oI wed access and Internet resources discovery. Understanding the interrelation between information diffusion in online social media and user web interests can help the web ecosystem stakeholders in developing new services and designing efficient systems with optimized resources. This paper explores whether or not one can infer the trends of topics in the web by observing the Twitter microcosm. Using data- sets collected from Twitter and two representative web services （Google and Alexa）, this work con- ducts a comparative analysis between trending patterns of topics in Twitter and in the web by consid- ering both the temporal and spatial perspectives, and finds that individual topics in Twitter and in the web share similar trending patterns both from the temporal and spatial aspects. Nevertheless, the tren- diness in Twitter can precede for a few hours and is highly unstable compared to the one in web. The application of these findings is also discussed on ad keywords planning in Search Engine Marketing.展开更多
文摘In the past five years, trendy information spread via imported renowned fashion magazines appeared unable to satisfy the industrial needs. Trend books from Milan and Paris have been introduced to big cities in China through official Chinese national agencies, and have gradually drawn more attention within the Chinese fashion industry. Chinese fashion businesses and their designers have difficulties in using the trend book. The main reason is that they don’t understand the whole structure re of the book, the true meaning of the instruction and the way to use the book. Most companies are not using the book in the correct way. However, if no one realizes this is not the right key to the real fashion design world, an incorrect design logic and abnormal production chain will appear in China which will directly produce an unhealthy impact to the country. It’s only possible to catch up and grasp the real European trend with Europe at the same time when the trend books are used correctly.
基金Supported by the Beijing Municipal Natural Science Foundation(No.2015AA010201)
文摘The development of microblog services has a considerable etfect on the patterns oI wed access and Internet resources discovery. Understanding the interrelation between information diffusion in online social media and user web interests can help the web ecosystem stakeholders in developing new services and designing efficient systems with optimized resources. This paper explores whether or not one can infer the trends of topics in the web by observing the Twitter microcosm. Using data- sets collected from Twitter and two representative web services （Google and Alexa）, this work con- ducts a comparative analysis between trending patterns of topics in Twitter and in the web by consid- ering both the temporal and spatial perspectives, and finds that individual topics in Twitter and in the web share similar trending patterns both from the temporal and spatial aspects. Nevertheless, the tren- diness in Twitter can precede for a few hours and is highly unstable compared to the one in web. The application of these findings is also discussed on ad keywords planning in Search Engine Marketing.
