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CIKM
2010
Springer
15 years 5 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
220
Voted
CIKM
2010
Springer
15 years 5 months ago
2010
Springer
Text mining, though still a nascent industry, has been growing quickly along with the awareness of the importance of unstructured data in business analytics, customer retention an...
225
Voted
CIKM
2010
Springer
15 years 5 months ago
2010
Springer
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
198
Voted
CIKM
2010
Springer
15 years 5 months ago
2010
Springer
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
200
Voted
CIKM
2010
Springer
15 years 5 months ago
2010
Springer
The cost of reachability query computation using traditional algorithms such as depth first search or transitive closure has been found to be prohibitive and unacceptable in mass...