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Knowledge base searching method and device
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A search method and knowledge base technology, applied in other database retrieval, other database query, digital data information retrieval, etc., can solve the problems of large gaps in knowledge points and low accuracy, and achieve the effect of accurate knowledge point documents
Pending Publication Date: 2020-10-02
BANK OF CHINA
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[0004] However, since different agents have different descriptions when searching for knowledge points, when using different descriptions, the searched knowledge points are quite different, resulting in the current solution of searching the knowledge base only based on keywords, and its accuracy is low
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Embodiment 1
[0100] The present invention provides a first embodiment of a knowledge base search device, see Figure 4 include:
[0101] A receiving unit 41, configured to receive the current character string sent by the agent terminal;
[0102] A word segmentation unit 42, configured to perform a word segmentation operation on the current character string to obtain a current word segmentation set;
[0103] The first calculation unit 43 is used to calculate the first similarity between the current word segmentation set and each knowledge point document;
[0104] An extracting unit 44, configured to extract each personalized tagged word segmentation set corresponding to the agent terminal from the tagged fields of each knowledge point document;
[0105] The second calculation unit 45 is used to calculate the second similarity between the current word segmentation set and the personalized marking word segmentation set of each knowledge point document;
[0106] The third calculation unit 4...
Embodiment 2
[0109] The present invention provides a second embodiment of a knowledge base search device, see Figure 5 include:
[0110] Wherein after the push unit 47, it also includes:
[0111] Adding unit 48, configured to receive an adding instruction sent by the agent terminal that includes a knowledge point document identification; add the current word segmentation set to the corresponding personality of the agent terminal in the marking field corresponding to the knowledge point document Marked participle set.
[0112] Before the receiving unit 41, it also includes:
[0113] The construction unit 40 is used to receive the historical character string sent by the agent terminal; perform word segmentation operation on the historical character string to obtain the historical word segment set; calculate the similarity between the historical word segment set and each knowledge point document; In the lowest order, push a plurality of knowledge point documents to the agent terminal; rec...
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Abstract
The invention provides a knowledge base searching method and device. The method comprises the steps: receiving a current character string sent by an agent terminal; performing word segmentation operation on the current character string to obtain a current word segmentation set; calculating a first similarity between the current word segmentation set and each knowledge point document; extracting each individual marking word segmentation set corresponding to the agent terminal from the marking field of each knowledge point document; calculating a second similarity between the current word segmentation set and the personalized marking word segmentation set of each knowledge point document; calculating the comprehensive similarity of each knowledge point document based on the first similarityand the second similarity of each knowledge point document; and pushing the plurality of knowledge point documents to the agent terminal according to the comprehensive similarity from high to low. According to the method, the knowledge point documents are recommended based on the comprehensive similarity, so the finally recommended knowledge point documents are more accurate.
Description
technical field [0001] The present application relates to the field of communication technology, and in particular to a knowledge base search method and device. Background technique [0002] In the process of agents providing services, the efficiency with which agents retrieve the required knowledge from the knowledge base determines the quality of service. If the retrieval efficiency is fast and the precision is high, the customer satisfaction will be high; if the retrieval efficiency is slow and the precision is low, the customer satisfaction will be low. [0003] Currently, when an agent searches the knowledge base, he usually inputs a keyword of a knowledge point to search, and the knowledge base will find one or more knowledge points related to the keyword for the agent to view. [0004] However, since different agents have different descriptions when searching for knowledge points, when different descriptions are used, the searched knowledge points are quite different...
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