On the Robustness of Document Re-Ranking Techniques: A Comparison of Label Propagation, KNN, and Relevance Feedback

Yuen-Hsien Tseng, Chen-Yang Tsai, Ze-Jing Chuang
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