194 search results - page 14 / 39 » Learning to rank query reformulations |
125
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SIGIR
2010
ACM
15 years 5 months ago
2010
ACM
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
133
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PVLDB
2008
15 years 1 months ago
2008
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
IR
2010
15 years 6 days ago
2010
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
116
Voted
VLDB
1990
ACM
15 years 5 months ago
1990
ACM
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
139
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WWW
2011
ACM
14 years 8 months ago
2011
ACM
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...