Sciweavers

2164 search results - page 54 / 433
» Learning to rank for information retrieval
Sort
View
ERCIMDL
2010
Springer
158views Education» more  ERCIMDL 2010»
14 years 11 months ago
Ranking Entities Using Web Search Query Logs
Abstract Searching for entities is an emerging task in Information Retrieval for which the goal is finding well defined entities instead of documents matching the query terms. In t...
Bodo Billerbeck, Gianluca Demartini, Claudiu S. Fi...
WWW
2003
ACM
15 years 10 months ago
Searching the workplace web
The social impact from the World Wide Web cannot be underestimated, but technologies used to build the Web are also revolutionizing the sharing of business and government informat...
Ronald Fagin, Ravi Kumar, Kevin S. McCurley, Jasmi...
ICASSP
2009
IEEE
15 years 1 months ago
Improved lattice-based spoken document retrieval by directly learning from the evaluation measures
Lattice-based approaches have been widely used in spoken document retrieval to handle the speech recognition uncertainty and errors. Position Specific Posterior Lattices (PSPL) an...
Chao-hong Meng, Hung-yi Lee, Lin-shan Lee
CIKM
2011
Springer
13 years 9 months ago
Learning to aggregate vertical results into web search results
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results. The task requires predicting...
Jaime Arguello, Fernando Diaz, Jamie Callan
JCST
2008
138views more  JCST 2008»
14 years 9 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003