2005Unpublished venueRequires access

An index design in topic-focused search engine

Zhiqiang Wang, Ruifan Li

Open publisher page 6 citations

Abstract

The performance of index fundamentally affects the result of retrieval in search engine. An inverted index scheme is proposed to solve the frequent update in topic-focused search engine. Compared with the singularity of traditional index architecture, this scheme is comprised of main inverted index, append inverted index, and deleted file list, fitting for the frequent update problem of index.

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What this paper is about

The performance of index fundamentally affects the result of retrieval in search engine. An inverted index scheme is proposed to solve the frequent update in topic-focused search engine. Compared with the singularity of traditional index architecture, this scheme is comprised of main inverted index, append inverted index, and deleted file list, fitting for the frequent update problem of index.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

The performance of index fundamentally affects the result of retrieval in search engine. An inverted index scheme is proposed to solve the frequent update in topic-focused search engine. Compared with the singularity of traditional index architecture, this scheme is comprised of main inverted index, append inverted index, and deleted file list, fitting for the frequent update problem of index.

Key concepts: Inverted index, Index (typography), Append, Computer science, Search engine, Information retrieval, Scheme (mathematics), Data mining

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