ACM Home Page
Author image not provided  Chris Staff

No contact information provided yet.


Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Publication years2002-2008
Publication count3
Citation Count2
Available for download2
Downloads (6 Weeks)25
Downloads (12 Months)136
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author

SUBJECT AREAS
See all subject areas



AUTHOR PROFILE PAGES (BETA)
Project background

BOOKMARK & SHARE


3 search results
Export results as: BibTeX   EndNotes   ACM Ref
2008
1
Bookmark Category Web Page Classification Using Four Indexing and Clustering Approaches
Chris Staff
July 2008
AH '08: Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Publisher: Springer-Verlag
Additional Information:full citation, abstract
 Bibliometrics:  Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 0

Web browser bookmark files store records of web pages that the user would like to revisit. We use four methods to index and automatically classify documents referred to in 80 bookmark files, based on document title-only and full-text indexing and two ...

 
2007
2
Automatic classification of web pages into bookmark categories
Chris Staff, Ian Bugeja
July 2007
SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Full text available: PdfPdf (155.98 KB)
Additional Information:full citation, abstract, references, index terms
 Bibliometrics:  Downloads (6 Weeks): 14,   Downloads (12 Months): 91,   Citation Count: 0

We describe a technique to automatically classify a web page into an existing bookmark category to help a user to bookmark a page. HyperBK compares a bag-of-words representation of the page to descriptions of categories in the user's bookmark file. Unlike ...

Keywords: automatic classification, bookmarks, web browsers
 
2002
3
The hypercontext framework for adaptive Hypertext
Christopher D Staff
June 2002
HYPERTEXT '02: Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Publisher: ACM
Full text available: PdfPdf (333.71 KB)
Additional Information:full citation, abstract, references, cited by, index terms, review
 Bibliometrics:  Downloads (6 Weeks): 11,   Downloads (12 Months): 45,   Citation Count: 2

We present HyperContext, a framework for adaptive and adaptable hypertext. Our fundamental premise is that when people encounter the same document, each may interpret the information it contains differently. Usually, the interpretations are not available ...

Keywords: adaptive hypertext, context, user modelling