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» Term Ranking for Clustering Web Search Results
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CIKM
2010
Springer
14 years 8 months ago
Computing the top-k maximal answers in a join of ranked lists
Complex search tasks that utilize information from several data sources, are answered by integrating the results of distinct basic search queries. In such integration, each basic ...
Mirit Shalem, Yaron Kanza
WWW
2003
ACM
15 years 10 months ago
Scaling personalized web search
Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's P...
Glen Jeh, Jennifer Widom
JCB
2007
106views more  JCB 2007»
14 years 10 months ago
Clustered Sequence Representation for Fast Homology Search
We present a novel approach to managing redundancy in sequence databanks such as GenBank. We store clusters of near-identical sequences as a representative union-sequence and a se...
Michael Cameron, Yaniv Bernstein, Hugh E. Williams
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 2 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
WWW
2004
ACM
15 years 10 months ago
Updating pagerank with iterative aggregation
We present an algorithm for updating the PageRank vector [1]. Due to the scale of the web, Google only updates its famous PageRank vector on a monthly basis. However, the Web chan...
Amy Nicole Langville, Carl Dean Meyer