The Experts below are selected from a list of 120 Experts worldwide ranked by ideXlab platform

Yukun Cao - One of the best experts on this subject based on the ideXlab platform.

  • application of a modified fuzzy art network to user classification for Internet Content Provider
    Asia-Pacific Web Conference, 2006
    Co-Authors: Yukun Cao, Zhengyu Zhu, Chengliang Wang
    Abstract:

    Internet has entered the age led by ICP (Internet Content Provider). Helping users to locate relevant information in an efficient manner is very important both to users and to ICP services. This paper presents a new approach that employs a modified fuzzy ART network to group users dynamically based on their Web access patterns. Such a user clustering method should be performed prior to ICPs as the basis to provide personalized service. The experimental results of this clustering technique show the promise of our system.

  • APWeb Workshops - Application of a modified fuzzy ART network to user classification for Internet Content Provider
    Lecture Notes in Computer Science, 2006
    Co-Authors: Yukun Cao, Zhengyu Zhu, Chengliang Wang
    Abstract:

    Internet has entered the age led by ICP (Internet Content Provider). Helping users to locate relevant information in an efficient manner is very important both to users and to ICP services. This paper presents a new approach that employs a modified fuzzy ART network to group users dynamically based on their Web access patterns. Such a user clustering method should be performed prior to ICPs as the basis to provide personalized service. The experimental results of this clustering technique show the promise of our system.

  • a user classification for Internet Content Provider based modified fuzzy neural network
    International Conference on Asian Digital Libraries, 2005
    Co-Authors: Yukun Cao
    Abstract:

    With the explosive growth of the Internet, it has entered the age led by ICP (Internet Content Provider). Helping users to locate relevant information in an efficient manner is very important both do the person and to the ICPs. As such, it is highly desired to have a systematic system for extracting user features effectively, and subsequently, analyzing user orientations quantitatively. The experimental results of this clustering technique show the promise of our system. This paper presents a new approach that employs a modified fuzzy neural network based on adaptive resonance theory to group users dynamically based on their Web access patterns. Such a user clustering method should be performed prior to ICPs as the basis to provide personalized service. The experimental results of this clustering technique show the promise of our system. The scheme could be used in local data management application, digital library, and so on.

  • ICADL - A user classification for Internet Content Provider based modified fuzzy neural network
    Digital Libraries: Implementing Strategies and Sharing Experiences, 2005
    Co-Authors: Yukun Cao
    Abstract:

    With the explosive growth of the Internet, it has entered the age led by ICP (Internet Content Provider). Helping users to locate relevant information in an efficient manner is very important both do the person and to the ICPs. As such, it is highly desired to have a systematic system for extracting user features effectively, and subsequently, analyzing user orientations quantitatively. The experimental results of this clustering technique show the promise of our system. This paper presents a new approach that employs a modified fuzzy neural network based on adaptive resonance theory to group users dynamically based on their Web access patterns. Such a user clustering method should be performed prior to ICPs as the basis to provide personalized service. The experimental results of this clustering technique show the promise of our system. The scheme could be used in local data management application, digital library, and so on.

Chengliang Wang - One of the best experts on this subject based on the ideXlab platform.

Keith N. Hylton - One of the best experts on this subject based on the ideXlab platform.

  • Law, Social Welfare, and Net Neutrality
    Review of Industrial Organization, 2017
    Co-Authors: Keith N. Hylton
    Abstract:

    Net neutrality generates wealth transfers from one type of Internet Content Provider to another. In theory, these transfers might be socially desirable, and could be justified on the basis of informational externalities similar to those cited to justify fair use in copyright law. In practice, however, the conditions that justify fair use do not hold where net neutrality operates. Moreover, the internal subsidization required by net neutrality generates a regressive transfer. The welfare gains that might come from controlling anticompetitive abuse or government coercion through implementation of net neutrality can be achieved by alternative policies with less harmful consequences.

  • Law, Social Welfare, and Net Neutrality
    2016
    Co-Authors: Keith N. Hylton
    Abstract:

    The net neutrality norm generates wealth transfers from one type of Internet Content Provider to another. In theory, these transfers might be socially desirable, and could be justified on the basis of informational externalities similar to those that have been identified to justify the fair use doctrine in copyright law. However, in practice, the conditions that justify fair use in the copyright context do not appear to hold in the settings in which the net neutrality principle operates. Moreover, the internal subsidization required by net neutrality generates a transfer from the relatively poor to the relatively rich. The potential welfare gains that might come from controlling anticompetitive abuse or government coercion through implementation of the policy can be achieved by alternative policies with less harmful consequences.

Zhengyu Zhu - One of the best experts on this subject based on the ideXlab platform.

L.-s. Chen - One of the best experts on this subject based on the ideXlab platform.

  • Personalization technology application to Internet Content Provider
    Expert Systems with Applications, 2001
    Co-Authors: Ying-feng Kuo, L.-s. Chen
    Abstract:

    Abstract Personalization of Web pages relates closely to targeting the customer and increasing customer intimacy thereby leading to increased branding and, hopefully, consumer electronic commerce. Profiling individuals on the Web allows us not only to select which message to deliver to each individual, but also helps us learn about the needs and interests of each person. In this paper, a modified tracking analysis method to obtain user preference inclination was proposed and applied to simulating ICP (Internet Content Provider) Web site. SNT (browsing sequence, node, and time) data extracted from the simulating Web site database are used extensively for our analysis. The ability to track user browsing behavior down to individual mouse clicks has brought the vendor and end customer closer than ever before.