Information storage and query method based on vertical search engine and device thereof
A vertical search engine and information storage technology, applied in the fields of instruments, calculations, electrical digital data processing, etc., can solve the problems of occupying more memory resources and reducing the search rate
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Embodiment 2
[0063] Furthermore, the deduplication dictionary can have various storage forms. In the second embodiment of the present application, the document identification information and attribute related value information stored in the deduplication dictionary is taken as an example, and then another vertical search based on the embodiment of the present application is explained in detail. The engine information storage method, the specific process is as follows:
[0064] S21~S22, according to the configuration information, initialize the header information file Fieldname.pfl.info in the forward list. After the initial configuration of the forward list header information file, for each document to be stored, according to the specified The attribute value contained in the attribute field determines the attribute related value of the specified attribute field of the document to be stored. Wherein, for the specific implementation process of S21-S22, please refer to the detailed descripti...
Embodiment 3
[0079] The information storage method based on the vertical search engine proposed in the first and second embodiments above is a full storage operation for all documents to be stored, that is, a full storage operation for one document to be stored. However, in the information storage process of the vertical search engine, the attributes of the documents are not static. Within a certain period of time, the attributes of each stored document may change, that is, for the stored documents, in the specified attribute field, Its attribute value may change. For example, the attribute value corresponding to the specified attribute field of a stored document increases or decreases, or some attribute values are different from the stored attribute value. At this time, it is necessary to make changes to the changed document. The corresponding update is to perform incremental storage operations on the changed documents. Based on this, the third embodiment here proposes a method for stor...
Embodiment 4
[0089] Furthermore, based on the information storage method based on the vertical search engine proposed in the first to third embodiments above, the fourth embodiment of the present application proposes a corresponding information query method based on the vertical search engine, such as Figure 10 As shown, the specific process is as follows:
[0090]Step 101, splitting the search term input by the user, and performing an inverted index based on the split search term based on the posting table, that is, according to the split search term, respectively searching in the dictionary and the split search term The dictionary information corresponding to each search term is then queried in the posting list according to the found dictionary information, and the identification information of at least one document where the split search term appears is obtained. Embodiment 4 of the present application Here, the search term input by the user is dell computer as an example, and the info...
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