𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Content-based filtering of Web documents: the MaX system and the EUFORBIA project

✍ Scribed by Elisa Bertino; Elena Ferrari; Andrea Perego

Publisher
Springer-Verlag
Year
2003
Tongue
English
Weight
448 KB
Volume
2
Category
Article
ISSN
1615-5262

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A Web-Based Secure System for the Distri
A Web-Based Secure System for the Distributed Printing of Documents and Images
✍ Ping Wah Wong; Daniel Tretter; Thomas Kite; Qian Lin; Hugh Nguyen πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 292 KB

We propose and consider a secure printing system for the distributed printing of documents and images over the World Wide Web. The main feature of the system is that it allows previewing and printing of selected documents and images, where only a certain number of hardcopies can be generated based o

Link-based similarity measures for the c
Link-based similarity measures for the classification of Web documents
✍ PΓ‘vel Calado; Marco Cristo; Marcos AndrΓ© GonΓ§alves; Edleno S. de Moura; Berthier πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 239 KB

## Abstract Traditional text‐based document classifiers tend to perform poorly on the Web. Text in Web documents is usually noisy and often does not contain enough information to determine their topic. However, the Web provides a different source that can be useful to document classification: its h

Web-based text classification in the abs
Web-based text classification in the absence of manually labeled training documents
✍ Chen-Ming Hung; Lee-Feng Chien πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 371 KB πŸ‘ 1 views

## Abstract Most text classification techniques assume that manually labeled documents (corpora) can be easily obtained while learning text classifiers. However, labeled training documents are sometimes unavailable or inadequate even if they are available. The goal of this article is to present a s

Evaluating interest profiles based on us
Evaluating interest profiles based on users' judgment, interest change, and class specificity in the context of filtering medical documents
✍ Luz M. Quiroga; Javed Mostafa πŸ“‚ Article πŸ“… 2005 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 732 KB

## Abstract Quality of profiles is critical for the performance of information filtering systems. A series of experiments were conducted to investigate factors that can impact the profile acquisition process. Profiles in MedSIFTER, the system used in the study, are represented as degrees of interes