111 search results - page 7 / 23 » Sentiment Summarization: Evaluating and Learning User Prefer... |
FLAIRS
2008
14 years 12 months ago
2008
When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire docume...
121
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SIGIR
2011
ACM
14 years 14 days ago
2011
ACM
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
168
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AIA
2007
14 years 11 months ago
2007
Automatic summarization systems usually are trained and evaluated in a particular domain with fixed data sets. When such a system is to be applied to slightly different input, la...
113
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ML
2010
ACM
14 years 4 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...