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» Aggregating User-Centered Rankings to Improve Web Search
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SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
14 years 13 days ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou
SIGIR
2005
ACM
15 years 3 months ago
Exploiting the hierarchical structure for link analysis
Link analysis algorithms have been extensively used in Web information retrieval. However, current link analysis algorithms generally work on a flat link graph, ignoring the hiera...
Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Z...
SIGIR
2009
ACM
15 years 4 months ago
Building enriched document representations using aggregated anchor text
It is well known that anchor text plays a critical role in a variety of search tasks performed over hypertextual domains, including enterprise search, wiki search, and web search....
Donald Metzler, Jasmine Novak, Hang Cui, Srihari R...
58
Voted
WWW
2007
ACM
15 years 10 months ago
A cautious surfer for PageRank
This work proposes a novel cautious surfer to incorporate trust into the process of calculating authority for web pages. We evaluate a total of sixty queries over two large, real-...
Lan Nie, Baoning Wu, Brian D. Davison
76
Voted
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 10 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims