Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Similarity or inference for assessing relevance in information retrieval

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Cross, V.V. ; Dept. of Comput. Sci. & Eng., South Carolina Univ., Columbia, SC, USA

The primary objective of an information retrieval system is to provide the user with relevant documents given the user's query. Numerous approaches to determining a document's relevance have been proposed based on the underlying retrieval model. In the paper, similarity-based and inference-based IR models are examined. A fuzzy information retrieval model is presented such that assessing document relevancy is based on the user's interpretation of the query term weights. The close relationship between the similarity-based and inference-based IR models is investigated in the context of the fuzzy information retrieval model

Published in:

Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

Date of Conference: