The main thrust of this paper is application of a novel data mining approach on the log of user' s feedback to improve web multimedia information retrieval performance. A user space model was constructed based...The main thrust of this paper is application of a novel data mining approach on the log of user' s feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author' s expression and the user' s understanding and expectation. User spacemodel was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved Bayesian algorithm for data mining. Experiment proved that the au-thors' proposed algorithm was efficient.展开更多
Service modeling offers fundamental guidance to the construction and operation of mobile telecommunication networks. As the domestic LTE networks have been deployed massively, the refined LTE services model needs to b...Service modeling offers fundamental guidance to the construction and operation of mobile telecommunication networks. As the domestic LTE networks have been deployed massively, the refined LTE services model needs to be established urgently. In this paper, we firstly extract characteristic parameters of services from statistical data in 3G networks, especially in time, space and user dimension. Secondly, the development trends of LTE services are analyzed. And the refined LTE service model is established. Finally, prediction results of LTE service development in China is given, which could provide effi cient support for networks' optimization and evolution.展开更多
This research explores media users＇ cognition of ＂time＂ and ＂space＂ across different media platforms, and conducts a comparison among media genres including mass media and intemet media based on user＇s interacti...This research explores media users＇ cognition of ＂time＂ and ＂space＂ across different media platforms, and conducts a comparison among media genres including mass media and intemet media based on user＇s interactivities. Especially, this research focused on the internet＇s space and time perception based on communication genres such as e-mail, Blogs, portals, news-media, e-commerce, and social media （SNS）. The research adopted two theories （construal level theory of time and space）. The time related theory is ＂temporal distance theory＂. The space related theory is ＂media space＂. The research is designed to measure user＇s perception of interactivity, time-construal level and its media space cognition while using the media. There are two independent variables： Interactivities （contents, user, and media levels） and user involvement （CMC-user vs. user, HCI-user vs. media）; there are two dependent variables： Cognition of spatial and temporal levels. This research also seeks the associated variables relationship among those variables through the structural equation model （SEM）. The 307 data was collected and analyzed to test the research question. The results show that the dimension of the media side＇s interactivity affected media＇s usage time and space perception. There are 2 ~ 2 factors variables to affect time and space. One is human and media interaction （HC1） and human to human communication （CMC）; the other is traditional mass media （one-way communication） and interuet media （two-ways communication）. The results prove the user＇s perception for media time and space is based on the levels of interactivity. The levels of interactivities depend on media usage： one-one, one-many, synchronous, asynchronous, interpersonal, and social network communication. Online media provides greater social space; while traditional media tends toward para-space perception. On the other hand, the users＇ time cognitions between online media are different such as fixed time versus cyber-time.展开更多
文摘The main thrust of this paper is application of a novel data mining approach on the log of user' s feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author' s expression and the user' s understanding and expectation. User spacemodel was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved Bayesian algorithm for data mining. Experiment proved that the au-thors' proposed algorithm was efficient.
文摘Service modeling offers fundamental guidance to the construction and operation of mobile telecommunication networks. As the domestic LTE networks have been deployed massively, the refined LTE services model needs to be established urgently. In this paper, we firstly extract characteristic parameters of services from statistical data in 3G networks, especially in time, space and user dimension. Secondly, the development trends of LTE services are analyzed. And the refined LTE service model is established. Finally, prediction results of LTE service development in China is given, which could provide effi cient support for networks' optimization and evolution.
文摘This research explores media users＇ cognition of ＂time＂ and ＂space＂ across different media platforms, and conducts a comparison among media genres including mass media and intemet media based on user＇s interactivities. Especially, this research focused on the internet＇s space and time perception based on communication genres such as e-mail, Blogs, portals, news-media, e-commerce, and social media （SNS）. The research adopted two theories （construal level theory of time and space）. The time related theory is ＂temporal distance theory＂. The space related theory is ＂media space＂. The research is designed to measure user＇s perception of interactivity, time-construal level and its media space cognition while using the media. There are two independent variables： Interactivities （contents, user, and media levels） and user involvement （CMC-user vs. user, HCI-user vs. media）; there are two dependent variables： Cognition of spatial and temporal levels. This research also seeks the associated variables relationship among those variables through the structural equation model （SEM）. The 307 data was collected and analyzed to test the research question. The results show that the dimension of the media side＇s interactivity affected media＇s usage time and space perception. There are 2 ~ 2 factors variables to affect time and space. One is human and media interaction （HC1） and human to human communication （CMC）; the other is traditional mass media （one-way communication） and interuet media （two-ways communication）. The results prove the user＇s perception for media time and space is based on the levels of interactivity. The levels of interactivities depend on media usage： one-one, one-many, synchronous, asynchronous, interpersonal, and social network communication. Online media provides greater social space; while traditional media tends toward para-space perception. On the other hand, the users＇ time cognitions between online media are different such as fixed time versus cyber-time.
