Rapid retrieval method and system for mass website basic information
A basic information and website technology, which is applied in the field of rapid retrieval method and system of massive website basic information, can solve the problems of low efficiency and high repetition rate of retrieval results, and achieve the effect of reducing IO operations
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[0045] Embodiment: Usually there is a keyword index table (such as: Beijing: 12,34 pages, Shanghai: 3,77 pages...) behind the thicker books to help readers find the page numbers of relevant content more quickly.
[0046]
[0047] The biggest difference between full-text search and database search is that the first 100 most relevant results meet the needs of more than 98% of users.
[0048] Since the database index is not designed for full-text indexing, for example, when you enter like "%keyword%", the database index will not work. When you use like query, the search process becomes a traversal process similar to flipping through the pages of a book. Therefore, for database services with fuzzy queries, LIKE is extremely harmful to performance. If it is necessary to perform fuzzy matching on multiple keywords: like "%keyword1%" and like "%keyword2%", the efficiency will be extremely low.
[0049] The inverted index system is maintained using a B-tree structure.
[0050] Th...
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