Search Results - Grainger, Trey

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  1. 1
    Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach

    Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach by Yang, Shuo, Korayem, Mohammed, AlJadda, Khalifeh, Grainger, Trey, Natarajan, Sriraam

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  2. 2
    Mining massive hierarchical data using a scalable probabilistic graphical model

    Mining massive hierarchical data using a scalable probabilistic graphical model by AlJadda, Khalifeh, Korayem, Mohammed, Ortiz, Camilo, Grainger, Trey, Miller, John A., Rasheed, Khaled M., Kochut, Krys J., Peng, Hao, York, William S., Ranzinger, Rene, Porterfield, Melody

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  3. 3
    Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding

    Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding by Shalaby, Walid, Al Jadda, Khalifeh, Korayem, Mohammed, Grainger, Trey

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  4. 4
    Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends

    Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends by Korayem, Mohammed, Khalifeh Aljadda, Grainger, Trey

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  5. 5
    Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding

    Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding by Shalaby, Walid, Khalifeh Al Jadda, Korayem, Mohammed, Grainger, Trey

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  6. 6
    The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain

    The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain by Grainger, Trey, Khalifeh AlJadda, Korayem, Mohammed, Smith, Andries

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  7. 7
    Application of Statistical Relational Learning to Hybrid Recommendation Systems

    Application of Statistical Relational Learning to Hybrid Recommendation Systems by Yang, Shuo, Korayem, Mohammed, Khalifeh AlJadda, Grainger, Trey, Natarajan, Sriraam

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  8. 8
    Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior

    Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior by Khalifeh AlJadda, Korayem, Mohammed, Ortiz, Camilo, Russell, Chris, Bernal, David, Payson, Lamar, Brown, Scott, Grainger, Trey

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  9. 9
    PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems

    PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems by Khalifeh AlJadda, Korayem, Mohammed, Ortiz, Camilo, Grainger, Trey, Miller, John A, York, William S

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  10. 10
    Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model

    Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model by Khalifeh AlJadda, Korayem, Mohammed, Ortiz, Camilo, Grainger, Trey, Miller, John A, Rasheed, Khaled, Kochut, Krys J, York, William S, Ranzinger, Rene, Porterfield, Melody

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