Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Relevance Feedback

Encyclopedia of Cyber Behavior
A mechanism to get feedback from initial query results with the goal to get more relevant results.
Published in Chapter:
Cyber Behaviors in Seeking Information
Xiaojun Yuan (University at Albany, State University of New York, USA) and Catherine Dumas (University at Albany, State University of New York, USA)
Copyright: © 2012 |Pages: 18
DOI: 10.4018/978-1-4666-0315-8.ch031
The emergence of rapidly developing Information Technologies, particularly the Internet and digital systems, provide people access to an overwhelming abundance of online resources. This, in turn, makes their information seeking process even more challenging. As an important research area in the field of information science and human computer interaction, human information seeking behavior has been researched for decades. In this entry, the authors focus on human information seeking behaviors in terms of their definition, the interactive, cognitive, contextual, and task aspects, and the intellectual knowledge and history. Since information seeking behaviors are a facet of the relatively new field of cyber behaviors, the chapter also discusses cyber behaviors in information seeking and the future research directions.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Content-Based Image Retrieval
This provides an interactive way for humans to refine the retrieval results. Users can indicate to the image retrieval system whether the retrieved results are “relevant,” “irrelevant” or “neutral.” Retrieval results are then refined iteratively.
Full Text Chapter Download: US $37.50 Add to Cart
Web Search Engine Architectures and their Performance Analysis
A mechanism through which an IR system generates a set of results for a given query; the user is allowed to send feedback of some form to the IR system to improve search accuracy.
Full Text Chapter Download: US $37.50 Add to Cart
Content-Based Multimedia Retrieval
A technique that requires users to identify positive results by labeling those which are relevant to the query, and subsequently analyzes the user’s feedback using a learning algorithm.
Full Text Chapter Download: US $37.50 Add to Cart
Automatic Reference Tracking
The idea behind relevance feedback is to take the results that are initially returned from a given query and to use information about whether or not those results are relevant to perform a new query.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR