3341 search results - page 562 / 669 » Managing a Large |
109
Voted
EDBT
2010
ACM
15 years 4 months ago
2010
ACM
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
125
Voted
ASPLOS
2010
ACM
15 years 4 months ago
2010
ACM
Power consumption and DRAM latencies are serious concerns in modern chip-multiprocessor (CMP or multi-core) based compute systems. The management of the DRAM row buffer can signif...
115
Voted
CIKM
2008
Springer
15 years 2 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...
109
Voted
CIKM
2008
Springer
15 years 2 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...
106
Voted
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Time is an important dimension of relevance for a large number of searches, such as over blogs and news archives. So far, research on searching over such collections has largely f...