Discovering user communities on the Internet using unsupervised machine learning techniques-Reference-Cited by-同舟云学术

Discovering user communities on the Internet using unsupervised machine learning techniques

Published:2002-12 Issue:6 Volume:14 Page:761-791
ISSN:0953-5438
Container-title:Interacting with Computers
language:en
Short-container-title:Interacting with Computers

Author:

Paliouras G,Papatheodorou C,Karkaletsis V,Spyropoulos C.D

Publisher

Oxford University Press (OUP)

Subject

Human-Computer Interaction,Software

Link

http://academic.oup.com/iwc/article-pdf/14/6/761/2591877/iwc14-0761.pdf

Reference42 articles.

1. Tailoring the interaction with users in web stores;Ardissono;User Modeling and User-Adapted Interaction,2000

2. Learning information retrieval agents: experiments with automated web browsing;Balabanovic;Proceedings AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Resources,1995

3. Content-based, collaborative recommendation;Balabanovic;Communications of the ACM,1997

4. Recommendation as classification: using social and content-based information in recommendation;Basu;Proceedings Fifteenth National Conference in Artificial Intelligence (AAAI'98),1998

5. Integrating user modelling into information extraction: the umie prototype;Benaki;Proceedings Sixth International Conference on User Modeling (UM'97),1997

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