Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDE.2007.368969
Title: SPRITE: A learning-based text retrieval system in DHT networks
Authors: Li, Y. 
Jagadish, H.V.
Tan, K.-L. 
Issue Date: 2007
Source: Li, Y.,Jagadish, H.V.,Tan, K.-L. (2007). SPRITE: A learning-based text retrieval system in DHT networks. Proceedings - International Conference on Data Engineering : 1106-1115. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDE.2007.368969
Abstract: In this paper, we propose SPRITE (Selective PRogressive Index Tuning by Examples), a scalable system for text retrieval in a structured P2P network. Under SPRITE, each peer is responsible for a certain number of terms. However, for each document, SPRITE learns from (past) queries to select only a small set of representative terms for indexing; and these terms are progressively refined with subsequent queries. We implemented the proposed strategy, and compare its retrieval effectiveness in terms of both precision and recall against a static scheme (without learning) and a centralized system (ideal). Our experimental results show that SPRITE is nearly as effective as the centralized system, and considerably outperforms the static scheme. © 2007 IEEE.
Source Title: Proceedings - International Conference on Data Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/41022
ISBN: 1424408032
ISSN: 10844627
DOI: 10.1109/ICDE.2007.368969
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