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Filtering by: Creator Herlocker, Jonathan L. Remove constraint Creator: Herlocker, Jonathan L. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • 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:
    approved: __________________________________________________________ Jonathan L. Herlocker

  • 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:
    , San Francisco. (pp. 43-52). 2. Dahlen, B. J., Konstan, J. A., Herlocker, J. L., Good, N

  • 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

  • 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

  • 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

  • Toward harnessing user feedback for machine learning

    Creator:
    Stumpf, Simone, Rajaram, Vidya, Li, Lida, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, Drummond, Russell, and Herlocker, Jonathan Lee
    Abstract:
    There has been little research into how end users might be able to communicate advice to machine learning systems. If this resource--the users themselves--could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved and the users' understanding and trust of the system could improve...
    Resource Type:
    Technical Report
    Full Text:
    Drummond, Jonathan Herlocker Oregon State University School of Electrical Engineering and Computer

  • Advanced separation of concerns and the compatibility of aspect-orientation

    Creator:
    Dechow, Doug
    Abstract:
    The appropriate separation of concerns is a fundamental engineering principle. A concern, for software developers, is that which must be represented by code in a program; by extension, separation of concerns is the ability to represent a single concern in a single appropriate programming language construct. Advanced separation of concerns...
    Resource Type:
    Dissertation
    Full Text:
    , Dr. Jonathan Herlocker, Dr. Prasad Tadepalli, and Dr. Bella Bose contributed a variety of responses

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jonathan E

  • 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

  • Collaborative Filtering for Digital Libraries

    Creator:
    Herlocker, Jon, Jung, Seikyung, and Webster, Janet G.
    Abstract:
    Report written in support of a presentation at JCDL 2002.
    Resource Type:
    Technical Report
    Full Text:
    , (pp. 43-52). 6. Dahlen, B. J., Konstan, J. A., Herlocker, J. L., Good, N., Borchers, A., Riedl, J