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|Title:||SPRITE: A learning-based text retrieval system in DHT networks||Authors:||Li, Y.
|Issue Date:||2007||Citation:||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|
|Appears in Collections:||Staff Publications|
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