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» Merging Results by Predicted Retrieval Effectiveness
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CLEF
2003
Springer
13 years 10 months ago
Merging Results by Predicted Retrieval Effectiveness
In this paper we propose several merging strategies to integrate the result lists of each intermediate run in distributed MLIR. The prediction of retrieval effectiveness was used t...
Wen-Cheng Lin, Hsin-Hsi Chen
CIKM
2001
Springer
13 years 9 months ago
Approaches to Collection Selection and Results Merging for Distributed Information Retrieval
We have investigated two major issues in Distributed Information Retrieval (DIR), namely: collection selection and search results merging. While most published works on these two ...
Yves Rasolofo, Faiza Abbaci, Jacques Savoy
WISE
2005
Springer
13 years 10 months ago
Evaluation of Result Merging Strategies for Metasearch Engines
Result merging is a key component in a metasearch engine. Once the results from various search engines are collected, the metasearch system merges them into a single ranked list. T...
Yiyao Lu, Weiyi Meng, Liangcai Shu, Clement T. Yu,...
ECIR
2007
Springer
13 years 6 months ago
Results Merging Algorithm Using Multiple Regression Models
: This paper describes a new algorithm for merging the results of remote collections in a distributed information retrieval environment. The algorithm makes use only of the ranks o...
Georgios Paltoglou, Michail Salampasis, Maria Satr...
SIGIR
2008
ACM
13 years 4 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen