Abstract
This research defines the relationship between a user profile and a user query in terms of the relationship between the clusters of documents that are retrieved by the profile and by the query, respectively. The document clusters were generated by performing retrieval at various threshold levels on profiles and related queries. Profiles were artificially generated based on documents by an author. Queries were artificially generated to cover the full range of the relationship as defined by the cosine similarity measure. The resulting clusters were examined and it was found that, given a desired retrieval threshold, cluster similarity and cluster overlap can be expressed as linear functions of the similarity existing between the original pairs of profiles and queries. © 1986 John Wiley & Sons, Inc.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of the American Society for Information Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
