Index Catalog // ScholarsArchive@OSU

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:: . 2.2.1 User Nearest Neighbor The User Nearest Neighbor algorithm, based on the Pearson r Correlation

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:: ]: Given an nm× matrix A , where without loss of generality nm ≥ and rank( A ) r= , the SVD of A

Tensor Field Design and Analysis for Applications in Computer Graphics and Scientific Visualization

Creator:: Palacios, Jonathan
Abstract:: Many applications in computer graphics and geometry processing rely on the ability to locally orient 2D and 3D entities on a surface, or inside a volume, such as the sinusoidal kernels in Gabor noise, the color and geometry textures in pattern synthesis, and the finite elements in remeshing. In these...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Jonathan Palacios for the

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

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:: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 4.3 Four occurrences of a frequent pattern. S: SaveAs, C: Copy&Paste, F: File Copy, R: File

Implications for an exercise prescription authoring notation

Creator:: Dodge, Jonathan E., Metoyer, Ronald, and Gunter, Katherine B.
Abstract:: Communicating dynamic motion content, such as exercise, with a static medium, such as paper, is difficult. The technology exists for presenting 3D animated exercise content to patients, however, the tools for allowing exercise domain experts to effectively author the content do not exist. We conducted two formative studies with exercise...
Resource Type:: Conference Proceeding
Full Text:: Implications for an Exercise Prescription Authoring Notation Jonathan

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

Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

Creator:: Lassetter, Austin R.
Abstract:: This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
Resource Type:: Masters Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Austin R. Lassetter for the

New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

Creator:: Ma, Chao
Abstract:: This thesis studies the problem of structured prediction (SP), where the agent needs to predict a structured output for a given structured input (e.g., Part-of-Speech tagging sequence for an input sentence). Many important applications including machine translation in natural language processing (NLP) and image interpretation in computer vision can be...
Resource Type:: Dissertation
Full Text:: structured outputs Y , and a non-negative output loss function l : X × Y × Y → R+. Each structured input x

ScholarsArchive@OSU

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

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

Contributions to Collaborative Filtering Research

Tensor Field Design and Analysis for Applications in Computer Graphics and Scientific Visualization

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

Activity recognition in desktop environments

Implications for an exercise prescription authoring notation

Toward harnessing user feedback for machine learning

Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

Limit your search

Academic Affiliation

Advisor

Commencement Year

Committee Member

Conference Name

Conference Section/Track

Creator

Contributor

Date

Decade

Degree Field

Degree Level

Degree Name

File Format

Language

License

Non-Academic Affiliation

Peer Reviewed

Resource Type

Rights Statement

Subject

Search Constraints

Search Results

Limit your search