A query information error correction method and system for a vertical search engine
A vertical search engine and information query technology, applied in the direction of network data indexing, network data retrieval, and other database retrieval, etc., can solve the problems of low error correction accuracy, inapplicable error types, and inability to correct errors, etc., to achieve accurate error correction High reliability, simple error correction operation and high efficiency
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Embodiment 1
[0035] refer to figure 1 , shows a flow chart of steps of a method for correcting query information of a vertical search engine according to Embodiment 1 of the present invention.
[0036] The query information error correction method of the vertical search engine of the embodiment of the present invention may include the following steps:
[0037] Step S102: Segment the query information input by the user into words.
[0038] For example: the query information entered by the user is "the latest issue of the fast east base camp", and the subsequent query information is "fast / east / base camp / latest / first issue".
[0039] Step S104: After initializing the cursor, move the cursor in units of word segmentation according to the set rules to obtain subquery information.
[0040] Wherein, the query information includes multiple sub-query information, and each sub-query information includes at least one participle.
[0041] The number of cursors can be two. The two moving cursors are...
Embodiment 2
[0052] refer to figure 2 , shows a flow chart of the steps of a query information error correction method for a vertical search engine according to Embodiment 2 of the present invention.
[0053] The query information error correction method of the vertical search engine of the embodiment of the present invention may include the following steps:
[0054] Step S202: The search engine generates an error correction dictionary.
[0055] A preferred way of generating an error correction dictionary is as follows:
[0056] S1: Receive an initial alias table for input.
[0057] The initial typographical list is composed of common typographical pairs artificially sorted out according to the structure and shape of Chinese characters and writing habits. The typographical list mainly includes typographical typos, such as: (爱, 爽), (子, 孙), (沉,酒) ), (Mother, Wu), (Yu, She), (Mother, Wu), (Day, Yue), (Mei, Jiu), (Le, East) and so on. The search engine receives an initial alias table ente...
Embodiment 3
[0098] refer to image 3 , shows a flow chart of steps of a method for correcting query information of a vertical search engine according to Embodiment 3 of the present invention.
[0099] The query information error correction method of the vertical search engine in the embodiment of the present invention mainly includes two parts, the first part is the creation and update maintenance of the error correction dictionary, word segmentation protection table, error correction blacklist, and the second part is the search engine through the error correction dictionary , word segmentation protection table, and error correction blacklist for the specific process of error correction. Below, refer to image 3 The contents of these two parts are explained separately.
[0100] The creation, update and maintenance of the error correction dictionary includes the following steps:
[0101] Step 1: Create an initial alias table.
[0102] According to the structure and shape of Chinese cha...
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