An index design in topic-focused search engine
Zhiqiang Wang, Ruifan Li
Abstract
Zhiqiang Wang, Ruifan Li
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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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