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FLAIRS
2006
14 years 10 months ago
Using Web Searches on Important Words to Create Background Sets for LSI Classification
The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
Sarah Zelikovitz, Marina Kogan
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
15 years 2 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
HT
2003
ACM
15 years 2 months ago
The connectivity sonar: detecting site functionality by structural patterns
Web sites today serve many different functions, such as corporate sites, search engines, e-stores, and so forth. As sites are created for different purposes, their structure and...
Einat Amitay, David Carmel, Adam Darlow, Ronny Lem...
WWW
2008
ACM
15 years 10 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
ADAEUROPE
2003
Springer
15 years 2 months ago
Charles: A Data Structure Library for Ada95
ontainer. In particular, an iterator abstracts away differences in specific container types, allowing you to view the collection simply as a sequence of items. A generic algorith...
Matthew Heaney