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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...
VLDB
2007
ACM
94views Database» more  VLDB 2007»
16 years 16 days ago
iTrails: Pay-as-you-go Information Integration in Dataspaces
Dataspace management has been recently identified as a new agenda for information management [17, 22] and information integration [23]. In sharp contrast to standard information ...
Marcos Antonio Vaz Salles, Jens-Peter Dittrich, Sh...
WWW
2009
ACM
16 years 7 months ago
Combining anchor text categorization and graph analysis for paid link detection
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov
WWW
2003
ACM
16 years 7 months ago
Semantic search
Activities such as Web Services and the Semantic Web are working to create a web of distributed machine understandable data. In this paper we present an application called Semanti...
Arnold W. M. Smeulders
SIGIR
2002
ACM
15 years 6 months ago
Two-stage language models for information retrieval
The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...
ChengXiang Zhai, John D. Lafferty