Ding Zhou

Ding Zhou

San Francisco Bay Area
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Activity

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Experience

Education

  • Stanford University Graphic
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    * dissertation: mining social networks and documents
    * co-developer of the world famous search engine: citeseer-x (+1 mil users/day in 2007)
    * published over twenty papers receiving thousands of citations (as of 2015)

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Publications

  • Co-Ranking Authors and Documents in a Heterogeneous Network

    International Conference on Data Mining

    Recent graph-theoretic approaches have demonstrated remarkable successes for ranking networked entities, but most of their applications are limited to homogeneous networks such as the network of citations between publications. This paper proposes a novel method for co-ranking authors and their publications using several networks: the social network connecting the authors, the citation network connecting the publications, as well as the authorship network that ties the previous two together. The…

    Recent graph-theoretic approaches have demonstrated remarkable successes for ranking networked entities, but most of their applications are limited to homogeneous networks such as the network of citations between publications. This paper proposes a novel method for co-ranking authors and their publications using several networks: the social network connecting the authors, the citation network connecting the publications, as well as the authorship network that ties the previous two together. The new co-ranking framework is based on coupling two random walks, that separately rank authors and documents following the PageRank paradigm. As a result, improved rankings of documents and their authors depend on each other in a mutually reinforcing way, thus taking advantage of the additional information implicit in the heterogeneous network of authors and documents.

    See publication

Patents

  • Cognitive relevance targeting in a social networking system using concepts inferred from explicit information

    Issued US 20130124447

    A social networking system infers a user's present interests based on the user's recent actions and/or the recent actions of the user's connections in the social networking system. The social networking system also determines a set of concepts associated with each of a set of information items, such as advertisements. By matching the user's present interests with the concepts associated with the information items, the social networking system selects one or more of the information items that…

    A social networking system infers a user's present interests based on the user's recent actions and/or the recent actions of the user's connections in the social networking system. The social networking system also determines a set of concepts associated with each of a set of information items, such as advertisements. By matching the user's present interests with the concepts associated with the information items, the social networking system selects one or more of the information items that are likely to be of present interest to the user. At least one of the matched interests and concepts are not identical. The social networking system then presents the selected information items for display to the user, thereby providing information based on an inferred temporal relevance of that information to the user.

    Other inventors
    See patent
  • DYNAMIC INFORMATION STREAMS IN A SOCIAL NETWORK PLATFORM

    Filed US 14035166

    Other inventors

Languages

  • Chinese

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  • English

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