ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper discusses the ranking of a set of objects when a possibly inconsistent set of pairwise preferences is given. We consider the task of ranking objects when pairwise prefe...
EMNLP
2009
13 years 2 months ago
2009
There have been increasing needs for task specific rankings in web search such as rankings for specific query segments like long queries, time-sensitive queries, navigational quer...
ACL
2009
13 years 2 months ago
2009
In this paper, we propose a novel ranking framework
ACL
2009
13 years 2 months ago
2009
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
WEBI
2010
Springer
13 years 2 months ago
2010
Springer
Ranking microblogs, such as tweets, as search results for a query is challenging, among other things because of the sheer amount of microblogs that are being generated in real time...
WEBI
2010
Springer
13 years 2 months ago
2010
Springer
Abstract--Search engines have greatly influenced the way people access information on the Internet as such engines provide the preferred entry point to billions of pages on the Web...
NAACL
2010
13 years 2 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...
ECIR
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
AIRS
2010
Springer
13 years 2 months ago
2010
Springer
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...