523 search results - page 64 / 105 » Metric Learning for Text Documents |
98
Voted
SIGIR
2005
ACM
15 years 4 months ago
2005
ACM
This paper is concerned with automatic extraction of titles from the bodies of HTML documents. Titles of HTML documents should be correctly defined in the title fields; however, i...
SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
102
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ECIR
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
119
Voted
SIGIR
2011
ACM
14 years 2 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
SIGIR
2005
ACM
15 years 4 months ago
2005
ACM
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...