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CIKM
2010
Springer
15 years 5 months ago
Online learning for recency search ranking using real-time user feedback
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohu...
CIKM
2010
Springer
15 years 5 months ago
Examining the information retrieval process from an inductive perspective
Term-weighting functions derived from various models of retrieval aim to model human notions of relevance more accurately. However, there is a lack of analysis of the sources of e...
Ronan Cummins, Mounia Lalmas, Colm O'Riordan
CIKM
2009
Springer
16 years 1 months 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
IEAAIE
2005
Springer
16 years 10 days ago
AI/NLP Technologies Applied to Spacecraft Mission Design
In this paper we propose the model of a prototypical NLP architecture of an information access system to support a team of experts in a scientific design task, in a shared and hete...
Maria Teresa Pazienza, Marco Pennacchiotti, Michel...
DEXAW
1999
IEEE
106views Database» more  DEXAW 1999»
15 years 11 months ago
Textual Similarities Based on a Distributional Approach
The design of efficient textual similarities is an important issue in the domain of textual data exploration. Textual similarities are for example central in document collection s...
Romaric Besançon, Martin Rajman, Jean-C&eac...