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On the Robustness of Document Re-Ranking Techniques: A Comparison of Label Propagation, KNN, and Relevance Feedback
2007
NTCIR Conference on Evaluation of Information Access Technologies
This paper describes our work at the sixth NTCIR workshop on the subtask of C-C single language information retrieval. We compared label propagation (LP), K-nearest neighboring (KNN), and relevance feedback (RF) for document re-ranking and found that RF is a more robust technique for performance improvement, while LP and KNN are sensitive to the choice and the number of relevant documents for successful document re-ranking.
dblp:conf/ntcir/TsengTC07
fatcat:4ulvw7nr5rhmvex3iti5rhg27a