5 search results - page 1 / 1 » Learning to Select Good Title Words: An New Approach based o... |
ICML
2001
IEEE
14 years 7 months ago
2001
IEEE
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
SAC
2005
ACM
14 years 16 days ago
2005
ACM
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web ...
SIGMOD
2009
ACM
14 years 7 months ago
2009
ACM
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...