Beyond term indexing: A P2P framework for Web information retrieval
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There has been an increasing research interest in developing full-text retrieval based on peer-to-peer (P2P) technology. So far, these research efforts have largely concentrated on efficiently distributing an index. However, ranking of the results retrieve ...
Web search engines designed on top of peer-to-peer (P2P) overlay networks show promise to enable attractive search scenarios operating at a large scale. However the design of effective indexing techniques for extremely large document collections still rais ...
Excessive network bandwidth consumption, caused by the transmission of long posting lists, was identified as one of the major bottlenecks for implementing distributed full-text retrieval in a Peer-to-Peer (P2P) architecture. To address this problem we intr ...
We find that there lacks a formal algebraic framework in the research area of P2P information retrieval. Such a formal framework is indispensable and pivotal. On the one hand, no solid theoretical foundation can explain why the results of many ad-hoc comme ...
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Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this paper, we propose a technique to derive a similarity measure from hyper-link information. As linked documents are generally semantically clos ...
Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this work, we propose to use hyperlink information to derive a similarity measure that can then be applied to compare any text documents, with or ...
Information Retrieval (IR) aims at solving a ranking problem: given a query q and a corpus C, the documents of C should be ranked such that the documents relevant to q appear above the others. This task is generally performed by ranking the documen ...
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