University College of Engineering

Results: 3881



#Item
21Probabilistic Generative Models of the Social Annotation Process Said Kashoob, James Caverlee, Elham Khabiri Department of Computer Science and Engineering Texas A&M University College Station, TX 77843

Probabilistic Generative Models of the Social Annotation Process Said Kashoob, James Caverlee, Elham Khabiri Department of Computer Science and Engineering Texas A&M University College Station, TX 77843

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Source URL: faculty.cse.tamu.edu

- Date: 2009-09-16 10:08:34
    22A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media Yuan Liang, James Caverlee, and Cheng Cao Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {y

    A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media Yuan Liang, James Caverlee, and Cheng Cao Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {y

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    Source URL: faculty.cse.tamu.edu

    - Date: 2015-04-18 18:07:10
      23Toward Traffic-Driven Location-Based Web Search Zhiyuan Cheng, James Caverlee, Krishna Y. Kamath, and Kyumin Lee Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

      Toward Traffic-Driven Location-Based Web Search Zhiyuan Cheng, James Caverlee, Krishna Y. Kamath, and Kyumin Lee Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

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      Source URL: faculty.cse.tamu.edu

      - Date: 2011-08-26 16:56:36
        24Detecting Spam URLs in Social Media via Behavioral Analysis Cheng Cao and James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {chengcao,caverlee}@cse.tamu.edu

        Detecting Spam URLs in Social Media via Behavioral Analysis Cheng Cao and James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {chengcao,caverlee}@cse.tamu.edu

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        Source URL: faculty.cse.tamu.edu

        - Date: 2015-04-18 18:07:04
          25Location Prediction in Social Media Based on Tie Strength Jeffrey McGee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

          Location Prediction in Social Media Based on Tie Strength Jeffrey McGee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

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          Source URL: faculty.cse.tamu.edu

          - Date: 2013-09-24 17:35:28
            26LExL: A Learning Approach for Local Expert Discovery on Twitter Wei Niu, Zhijiao Liu, James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {wei,lzj,caverlee}@cse

            LExL: A Learning Approach for Local Expert Discovery on Twitter Wei Niu, Zhijiao Liu, James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {wei,lzj,caverlee}@cse

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            Source URL: faculty.cse.tamu.edu

            - Date: 2016-02-22 16:06:48
              27Ranking Comments on the Social Web Chiao-Fang Hsu, Elham Khabiri, and James Caverlee Department of Computer Science and Engineering Texas A&M University College Station, TXUSA {drakihsu, khabiri, caverlee}@cse.tam

              Ranking Comments on the Social Web Chiao-Fang Hsu, Elham Khabiri, and James Caverlee Department of Computer Science and Engineering Texas A&M University College Station, TXUSA {drakihsu, khabiri, caverlee}@cse.tam

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              Source URL: faculty.cse.tamu.edu

              - Date: 2009-09-16 10:08:22
                28College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations Hancheng Ge, James Caverlee Department of Computer Science and Engineering Texas A&M University, USA, 77840

                College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations Hancheng Ge, James Caverlee Department of Computer Science and Engineering Texas A&M University, USA, 77840

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                Source URL: faculty.cse.tamu.edu

                - Date: 2016-02-22 16:06:40
                  29Content-Driven Detection of Campaigns in Social Media Kyumin Lee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX 77843 {kyumin, caverlee, zcheng}@cse

                  Content-Driven Detection of Campaigns in Social Media Kyumin Lee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX 77843 {kyumin, caverlee, zcheng}@cse

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                  Source URL: faculty.cse.tamu.edu

                  - Date: 2011-08-11 00:19:36
                    30From Categorical Logic to Facebook Engineering Peter O’Hearn Facebook & University College London Abstract I chart a line of development from category-theoretic

                    From Categorical Logic to Facebook Engineering Peter O’Hearn Facebook & University College London Abstract I chart a line of development from category-theoretic

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                    Source URL: research.fb.com

                    - Date: 2016-11-08 08:48:18