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CIKM
2008
Springer
13 years 10 months ago
2008
Springer
The need for high performance and throughput Question Answering (QA) systems demands for their migration to distributed environments. However, even in such cases it is necessary t...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...