Predicting Information Retrieval Performance by Robert M Losee
After developing a measure that can be applied retrospectively or can be predicted, performance of a system using a single term can be predicted given several different types of probabilistic distributions.-
User Engagement Research and Practice
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Advanced Multimodal Compatibility Modeling and Recommendation
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Human-Centered Data Discovery
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Trustworthy Communications and Complete Genealogies
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Information, Knowledge, and Technology for Teaching and Research in Africa
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Framing Privacy in Digital Collections with Ethical Decision Making
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Collaborative Web Search
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Understanding and Evaluating Search Experience
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Word Association Thematic Analysis
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Multiculturalism and Information and Communication Technology
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Researching Serendipity in Digital Information Environments
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Exploring Context in Information Behavior
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Trustworthy Policies for Distributed Repositories
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New Concepts in Digital Reference
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The Taxobook
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Exploratory Search
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Task Intelligence for Search and Recommendation
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Understanding User-Web Interactions via Web Analytics
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Multimedia Information Retrieval
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Incidental Exposure to Online News
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Web Indicators for Research Evaluation
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Reading and Writing the Electronic Book
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Social Monitoring for Public Health
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Faceted Search
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Measuring User Engagement
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Scholarly Collaboration on the Academic Social Web
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Online Multiplayer Games
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Hypermedia Genes
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The Future of Personal Information Management, Part I
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Question Answering for the Curated Web
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Third Space, Information Sharing, and Participatory Design
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Knowledge Management (KM) Processes in Organizations
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Designing for Digital Reading
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Automatic Disambiguation of Author Names in Bibliographic Repositories
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Graph Learning for Fashion Compatibility Modeling
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Social Informatics Evolving
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Information Communication
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Digital Libraries Applications
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The Notion of Relevance in Information Science
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The Answer Machine
Robert Losee is a Professor at the University of North Carolina at Chapel Hill. He has authored other monographs, including The Science of Information and Text Retrieval and Filtering, as well as numerous articles, emphasizing the nature of information, analytic models of how information retrieval systems perform, and methods of organizing and tagging text to allow for improved access to information.
| SKU | Unavailable |
| ISBN 13 | 9783031011894 |
| ISBN 10 | 3031011899 |
| Title | Predicting Information Retrieval Performance |
| Author | Robert M Losee |
| Series | Synthesis Lectures On Information Concepts Retrieval And Services |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2018-12-19 |
| Number of pages | 59 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |