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CIKM
2010
Springer
15 years 3 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...
ECOI
2010
144views more  ECOI 2010»
15 years 3 months ago
Machine reasoning about anomalous sensor data
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific d...
Matt Calder, Robert A. Morris, Francesco Peri
ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
15 years 2 months ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...
ALENEX
2009
172views Algorithms» more  ALENEX 2009»
15 years 2 months ago
Rank Aggregation: Together We're Strong
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Frans Schalekamp, Anke van Zuylen
ANCS
2009
ACM
15 years 2 months ago
An adaptive hash-based multilayer scheduler for L7-filter on a highly threaded hierarchical multi-core server
Ubiquitous multi-core-based web servers and edge routers are increasingly popular in deploying computationally intensive Deep Packet Inspection (DPI) programs. Previous work has s...
Danhua Guo, Guangdeng Liao, Laxmi N. Bhuyan, Bin L...
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