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» Using Information Extraction to Improve Document Retrieval
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ANNPR
2006
Springer
15 years 10 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
AIRS
2005
Springer
16 years 2 days ago
A Probabilistic Model for Music Recommendation Considering Audio Features
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
Qing Li, Sung-Hyon Myaeng, Donghai Guan, Byeong Ma...
SIGIR
2010
ACM
15 years 10 months ago
Predicting searcher frustration
When search engine users have trouble finding information, they may become frustrated, possibly resulting in a bad experience (even if they are ultimately successful). In a user ...
Henry A. Feild, James Allan, Rosie Jones
IJCAI
2003
15 years 8 months ago
Visual Programming of Web Data Aggregation Applications
Most of the information needs today can be satisfied by searching and browsing the Web. However, repetitive tasks such as monitoring information on Web sites should be done autom...
Robert Baumgartner, Georg Gottlob, Marcus Herzog
MMSEC
2006
ACM
195views Multimedia» more  MMSEC 2006»
16 years 15 days ago
Image annotation watermarking: nested object embedding using hypergraph model
In this paper, we introduce to the special domain of image annotation watermarking, based on embedding of hierarchical data related to objects into user-selected areas on an image...
Claus Vielhauer, Maik Schott