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» Learning to Find Interesting Connections in Wikipedia
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APWEB
2010
Springer
13 years 7 months ago
Learning to Find Interesting Connections in Wikipedia
To help users answer the question, what is the relation between (real world) entities or concepts, we might need to go well beyond the borders of traditional information retrieval ...
Marek Ciglan, Etienne Riviere, Kjetil Nørv&...
CIKM
2008
Springer
13 years 6 months ago
Searching the wikipedia with contextual information
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...
Antti Ukkonen, Carlos Castillo, Debora Donato, Ari...
ESANN
2000
13 years 5 months ago
An algorithm for the addition of time-delayed connections to recurrent neural networks
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
Romuald Boné, Michel Crucianu, Jean Pierre ...
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
14 years 4 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
CRIWG
2004
13 years 5 months ago
A Model for a Collaborative Recommender System for Multimedia Learning Material
In a cluster of many servers containing heterogeneous multimedia learning material and serving users with different backgrounds (e.g. language, interests, previous knowledge, hardw...
Nelson A. Baloian, Patricio Galdames, César...