Ken Lang  Home/Search
Context Related
Links: DBLP | fi.muni.cz/usr/popel...newsweeder.ps.gz Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: fi.muni.cz/usr/...aptiveSearchWWW (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: A significant problem in many information filtering systems is the dependence on the user for the creation and maintenance of a user profile, which describes the user's interests. NewsWeeder is a netnews-filtering system that addresses this problem by letting the user rate his or her interest level for each article being read (1-5), and then learning a user profile based on these ratings. This paper describes how NewsWeeder accomplishes this task, and examines the alternative learning methods... (Update)
Cited by: More
Boosting Classifiers for Drifting Concepts - Scholz, Klinkenberg (2006) (Correct)
A Probabilistic Analysis of the Rocchio Algorithm with .. - Thorsten Joachims.. (Correct)
An Ensemble Classifier for Drifting Concepts - Scholz, Klinkenberg (2005) (Correct)
Active bibliography (related documents): More All
0.2: Partial Parsing - Abney (1994) (Correct)
0.2: Evaluation Techniques for Automatic Semantic Extraction.. - Grefenstette (1993) (Correct)
0.1: Dynamic Information Filtering - Baudisch (2001) (Correct)
Similar documents based on text: More All
0.2: A Brief Comparison of News Filtering Software - Kilander (1995) (Correct)
0.2: Learning in Information Agents - Mitchell (1997) (Correct)
0.1: Feature Reduction and Database Maintenance in NETNEWS.. - Hsu, Lang (Correct)
Related documents from co-citation: More All
26: Webwatcher: A learning apprentice for the world wide web - Armstrong, Freitag et al. - 1995
25: Introduction to modern information retrieval (context) - Salton, McGill - 1983
25: webert: identifying interesting web sites (context) - Pazzani, Muramatsu et al. - 1996
BibTeX entry: (Update)
Ken Lang. NewsWeeder: Learning to filter netnews. In Machine Learning: Proceedings of the Twelfth International Conference, Lake Taho, California, 1995. http://citeseer.ist.psu.edu/lang95newsweeder.html More
@inproceedings{ lang95newsweeder,
author = "Ken Lang",
title = "News{W}eeder: learning to filter netnews",
booktitle = "Proceedings of the 12th International Conference on Machine Learning",
publisher = "Morgan Kaufmann publishers Inc.: San Mateo, CA, USA",
pages = "331--339",
year = "1995",
url = "citeseer.ist.psu.edu/lang95newsweeder.html" }
Citations (may not include all citations):1447 A Mathematical theory of Communication (context) - Shannon - 1948 ACM
226 Using Collaborative Filtering to Weave an Information Tapest.. (context) - Goldberg - 1992 ACM DBLP
81 Developments in Automatic Text Retrieval (context) - Salton - 1991
55 Modelling by Shortest Data Description (context) - Rissanen - 1978
54 A Learning Approach to Personalized Information Filtering - Sheth - 1994
34 Using Latent Semantic Analysis to Improve Access to Textual .. - Dumais
22 Applied Bayesian and Classical Inference: The Case of the Fe.. (context) - Mosteller, Wallace - 1984
15 Poorly Structured Information Spaces (context) - Fischer, Stevens et al. - 1991
4 Laboratory for Computational Linguistics (context) - Evans, of et al. - 1991
1 AI Research and Appplications in Digital's Service Organizat.. (context) - Rewari - 1992
1 Internal Research Report (context) - Lang - 1994
1 GroupLens: An Open Architecture for Collaboratie Filtering o.. (context) - Resnick - 1994
1 Index Structures for Selective Dissemination (context) - Yan, Garcia-Molina
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.fi.muni.cz/usr/popelinsky/adaptiveSearchWWW.html):
A Declarative Language for Querying and Restructuring the Web - Lakshmanan, Sadri (1996) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC