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» Learning to rank for information retrieval
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IADIS
2004
14 years 11 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
WWW
2010
ACM
14 years 10 months ago
SNDocRank: document ranking based on social networks
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
CAISE
2007
Springer
15 years 4 months ago
Personalizing PageRank-Based Ranking over Distributed Collections
In distributed work environments, where users are sharing and searching resources, ensuring an appropriate ranking at remote peers is a key problem. While this issue has been inves...
Stefania Costache, Wolfgang Nejdl, Raluca Paiu
CLEF
2005
Springer
15 years 3 months ago
Easing Erroneous Translations in Cross-Language Image Retrieval Using Word Associations
When short queries and short image annotations are used in text-based cross-language image retrieval, small changes in word usage due to translation errors may decrease the retriev...
Masashi Inoue
SIGIR
2011
ACM
14 years 18 days ago
Time-based query performance predictors
Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study quer...
Nattiya Kanhabua, Kjetil Nørvåg