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Filtering by: Creator Herlocker, Jon Remove constraint Creator: Herlocker, Jon Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Contributions to a Java recommender system

    Creator:
    Wang, Yun
    Abstract:
    Identifying the most relevant items in an e-commerce site is becoming more and more difficult nowadays because of the heavy overload of information. A Java Recommender System that uses Collaborative Filtering techniques has been developed to reduce such information overload and even personalize the information to the individual’s preference. The...
    Resource Type:
    Capstone Project
    Full Text:
    Major Professor: Jon Herlocker Committee Member: Tim Budd

  • A collaborative filtering algorithm and evaluation metric that accurately model the user experience

    Creator:
    McLaughlin, Matthew
    Abstract:
    "Collaborative filtering algorithms’ performances have been evaluated using a variety of metrics. These metrics, such as Mean Absolute Error and Precision, have often ignored recommendations for which they do not have data. Ignoring these recommendations has provided numbers which do not accurately represent the user experience. Qualitatively we have seen...
    Resource Type:
    Capstone Project
    Full Text:
    i ACKNOWLEDGMENTS I would like thank Dr. Jon

  • Contributions to Collaborative Filtering Research

    Creator:
    Nong, Shuzhen
    Abstract:
    In this report, I first introduce three areas of interest to collaborative filtering researchers, namely: (a) how to solve the sparsity and scalability problems in recommendation systems; (b) how to rapidly develop and test collaborative filtering algorithms; and (c) how to apply collaborative filtering to unbounded numeric preference data. In...
    Resource Type:
    Capstone Project
    Full Text:
    Collaborative Filtering Research Shuzhen Nong Major Professor: Jon Herlocker Committee

  • Designing and understanding information retrieval systems using collaborative filtering in an academic library environment

    Creator:
    Jung, Seikyung
    Abstract:
    Accessing information on the Web has become ingrained into our daily lives, and we seek information from many different sources, including conference and journal publications, personal web pages, and others. Increasingly, web-based information retrieval systems such as web-based search engines, library on-line catalog systems, and subscription-based federated search systems are...
    Resource Type:
    Dissertation
    Full Text:
    . Seikyung Jung, Author CONTRIBUTION OF AUTHORS Dr. Jon Herlocker was involved in the

  • Implementing a comparative anatomy information system for the foundational model of anatomy and the mouse anatomy ontology

    Creator:
    Diatchka, Kremena S.
    Abstract:
    This thesis describes the implementation of an interface for querying established correspondences between anatomical structures across species. I was the main developer of this query engine, called the Comparative Anatomy Information System. My work involved developing methods to query the knowledge base, perform the specified comparison, display the anatomical hierarchies...
    Resource Type:
    Honors College Thesis
    Full Text:
    and patiently answered questions to help me move on. From Oregon State University Jon Herlocker

  • FoXQ : a visual query language for XML

    Creator:
    Abraham, Robin
    Abstract:
    XML is a very versatile data format that has been used to represent many different kinds of data, including web pages, books, business and accounting data, programming interfaces, vector graphics, system logs, and games. In a short span of time, it has gained wide acceptance as the document and data...
    Resource Type:
    Masters Thesis
    Full Text:
    other members of my committee, Dr. Jon Herlocker, Dr. Margaret Burnett, and Dr. Rod Harter. I would

  • SPEAR : Superlative Plagiarism Explorer And Reporter

    Creator:
    Pavithran, Siddharth
    Abstract:
    In this project, we have investigated three different techniques for plagiarism detection and have compared its effectiveness against that of an unaided human grader. The techniques investigated were word frequency analysis, sentence inclusion analysis and sub string inclusion analysis. We found that a combination of word frequency analysis and sub...
    Resource Type:
    Capstone Project
    Full Text:
    thank Dr. Jon Herlocker, who put up with all my eccentricities and yet kept his cool. He always had

  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation
    Full Text:
    Fern, Jon Herlocker and Prasad Tadepalli for their excellent suggestions and thought-provoking

  • Applying machine learning for prediction, recommendation, and integration

    Creator:
    Bao, Xinlong
    Abstract:
    This dissertation explores the idea of applying machine learning technologies to help computer users find information and better organize electronic resources, by presenting the research work conducted in the following three applications: FolderPredictor, Stacking Recommendation Engines, and Integrating Learning and Reasoning. FolderPredictor is an intelligent desktop software tool that helps...
    Resource Type:
    Dissertation
    Full Text:
    Bergman, Alan Fern, Jon Herlocker and Prasad Tadepalli. They generously contributed their time and

  • Efficient P2P media dissemination with forward error correction

    Creator:
    Do, Phuoc
    Abstract:
    Media application on the internet has become more and more popular as the bandwidth of the network links increase. The bottleneck of the existing media systems is no longer the link bandwidth at user’s end, but the server’s ability to handle streaming requests. These existing streaming systems do not scale...
    Resource Type:
    Honors College Thesis
    Full Text:
    ________________________________________________________________________ Committee Member, Jon Herlocker, Assistant Professor, School of EECS