Sciweavers

1091 search results - page 4 / 219
» Swarming to rank for information retrieval
Sort
View
CIKM
2009
Springer
14 years 29 days ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
WWW
2004
ACM
14 years 7 months ago
Random surfer with back step
We present a novel link-based ranking algorithm RBS, which may be viewed as an extension of PageRank by back-step feature. Categories and Subject Descriptors H.3.3 [Information Se...
Marcin Sydow
IPM
2008
100views more  IPM 2008»
13 years 6 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
GIR
2006
ACM
14 years 11 days ago
Relevance Ranking for Geographic IR
In this paper, we introduce a geographic similarity operator that computes the relatedness between two geographic places and describe how it is combined with textual ranking. The ...
Leonardo Andrade, Mário J. Silva