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187
Voted
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...
206
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CIKM
2010
Springer
15 years 5 months ago
2010
Springer
There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, ...
217
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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...
219
click to vote
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...
195
click to vote
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...