pSearch-Reference-Cited by-同舟云学术

pSearch

Published:2003-01 Issue:1 Volume:33 Page:89-94
ISSN:0146-4833
Container-title:ACM SIGCOMM Computer Communication Review
language:en
Short-container-title:SIGCOMM Comput. Commun. Rev.

Author:

Tang Chunqiang¹,Xu Zhichen²,Mahalingam Mallik²

Affiliation:

1. Univ. of Rochester, Rochester, NY

2. HP Laboratories, Palo Alto, CA

Abstract

We describe an efficient peer-to-peer information retrieval system, pSearch; that supports state-of-the-art content- and semantic-based full-text searches. pSearch avoids the scalability problem of existing systems that employ centralized indexing, or index/query flooding. It also avoids the nondeterminism that is exhibited by heuristic-based approaches. In pSearch; documents in the network are organized around their vector representations (based on modern document ranking algorithms) such that the search space for a given query is organized around related documents, achieving both efficiency and accuracy.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Link

https://dl.acm.org/doi/pdf/10.1145/774763.774777

Reference10 articles.

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2. Matrices, Vector Spaces, and Information Retrieval

3. L. Gravano H. García-Molina and A. Tomasic. GlOSS: text-source discovery over the Internet. ACM Transactions on Database Systems 24(2); 1999. 10.1145/320248.320252 L. Gravano H. García-Molina and A. Tomasic. GlOSS: text-source discovery over the Internet. ACM Transactions on Database Systems 24(2); 1999. 10.1145/320248.320252

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