Sciweavers

194 search results - page 23 / 39
» Learning to rank query reformulations
Sort
View
123
Voted
PAMI
2010
200views more  PAMI 2010»
15 years 5 days ago
Learning Context-Sensitive Shape Similarity by Graph Transduction
—Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors...
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu...
EMNLP
2007
15 years 3 months ago
Learning to Find English to Chinese Transliterations on the Web
We present a method for learning to find English to Chinese transliterations on the Web. In our approach, proper nouns are expanded into new queries aimed at maximizing the probab...
Jian-Cheng Wu, Jason S. Chang
IRI
2007
IEEE
15 years 8 months ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
16 years 2 months ago
DataLens: making a good first impression
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...
Bin Liu, H. V. Jagadish
VLDB
2007
ACM
137views Database» more  VLDB 2007»
15 years 7 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl