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» Methods for comparing rankings of search engine results
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IAT
2010
IEEE
13 years 8 months ago
Comparing Tag Clouds, Term Histograms, and Term Lists for Enhancing Personalized Web Search
Although static ranked lists remain the dominant Web search interface, they can limit the ability of Web searchers to find desired information when it is buried deep in the collect...
Orland Hoeber, Hanze Liu
CIKM
2005
Springer
14 years 10 days ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
NIPS
2007
13 years 11 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
ERCIMDL
1999
Springer
154views Education» more  ERCIMDL 1999»
14 years 2 months ago
Effectiveness of Keyword-Based Display and Selection of Retrieval Results for Interactive Searches
Abstract. We present an approach to increasing the effectiveness of rankedoutput retrieval systems that relies on graphical display and user manipulation of “views” of retrieva...
Ezio Berenci, Claudio Carpineto, Vittorio Giannini...
CIKM
2009
Springer
14 years 5 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...