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» Parallel Query Processing and Edge Ranking of Graphs
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ICPADS
2005
IEEE
15 years 3 months ago
An Efficient Partition-Based Parallel PageRank Algorithm
PageRank becomes the most well-known re-ranking technique of the search results. By its iterative computational nature, the computation takes much computing time and resource. Res...
Bundit Manaskasemsak, Arnon Rungsawang
ICDE
2008
IEEE
425views Database» more  ICDE 2008»
16 years 9 months ago
NAGA: Searching and Ranking Knowledge
The Web has the potential to become the world’s largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
WWW
2007
ACM
15 years 10 months ago
Dynamic personalized pagerank in entity-relation graphs
Extractors and taggers turn unstructured text into entityrelation (ER) graphs where nodes are entities (email, paper, person, conference, company) and edges are relations (wrote, ...
Soumen Chakrabarti
87
Voted
PDPTA
1996
14 years 10 months ago
Document Retrieval Performance on Parallel Systems
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is de ned a...
David Hawking
COLING
2008
14 years 11 months ago
PNR2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization
Query-oriented update summarization is an emerging summarization task very recently. It brings new challenges to the sentence ranking algorithms that require not only to locate th...
Wenjie Li, Furu Wei, Qin Lu, Yanxiang He