448 search results - page 12 / 90 » Directly optimizing evaluation measures in learning to rank |
NAACL
2010
14 years 7 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
ILP
1999
Springer
15 years 1 months ago
1999
Springer
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
97
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KDD
2012
ACM
13 years 3 days ago
2012
ACM
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
104
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PAA
2010
14 years 8 months ago
2010
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...