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WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
15 years 7 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...
111
Voted
SAC
2010
ACM
15 years 5 months ago
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies
Developed using the principles of the Model-View-Controller architectural pattern, FolksEngine is a parametric search engine for folksonomies that allows us to test arbitrary sear...
Nicola Raffaele Di Matteo, Silvio Peroni, Fabio Ta...
96
Voted
WWW
2007
ACM
16 years 1 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...
98
Voted
ICPR
2008
IEEE
15 years 7 months ago
Re-ranking of web image search results using a graph algorithm
We propose a method to improve the results of image search engines on the Internet to satisfy users who desire to see relevant images in the first few pages. The method re-ranks ...
Hilal Zitouni, Sare Gul Sevil, Derya Ozkan, Pinar ...
88
Voted
CIKM
2009
Springer
15 years 7 months ago
Utilizing inter-passage and inter-document similarities for re-ranking search results
We present a novel language-model-based approach to reranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information ...
Eyal Krikon, Oren Kurland, Michael Bendersky