Information query method and device and electronic equipment
An information query and query word technology, applied in the field of information query, can solve the problems of long user operation path, neglect, and inability to get exposure opportunities.
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Embodiment 1
[0089] First of all, this embodiment one provides an information query method from the perspective of the aforementioned front-end server, specifically, see figure 1 , the method may specifically include:
[0090] S201: Receive a query request;
[0091] Among them, the specific query request can be initiated during the process of the user using the associated client, and the client can be a client related to the "new retail" scenario. Before the user initiates a specific query request, it can usually be determined first. Associated physical store. For example, it may specifically be a physical store closest to the user's location, or a physical store within a certain distance from the user's location, and so on. In this way, the specific query request can be regarded as a query request associated with the target physical store.
[0092] S202: Determine the query word information associated with the query request and the target entity store information;
[0093] After recei...
Embodiment 2
[0122] The second embodiment corresponds to the first embodiment, and provides an information query method from the perspective of the client provided to the consumer user, see Figure 5 , the method may specifically include:
[0123] S501: Receive a query request;
[0124] S502: Submit the query request to the server, so that the server can determine the query word information associated with the query request and the target entity store information. According to the conditions of the target entity store, the business object category and the query Correlation information between words, predicting related categories, and sorting the business objects in the returned query results according to the related categories and corresponding correlation information;
[0125] S503: Receive and display the query result information returned by the server.
[0126] Regarding the parts not described in detail in the second embodiment, reference may be made to the description in the foregoi...
Embodiment 3
[0128] As described in the foregoing first embodiment, in one implementation manner, category prediction may be performed by combining the first prediction database and the second prediction database. In this way, the information in the first forecast database can be unchanged or in a relatively stable state, while the data in the second forecast database can be configured by specific physical store operators or store managers, and As information such as the operating status of physical stores changes, the specific configuration information may change. For this reason, in order to make it easier for the operator or the store manager to configure the data in the second forecast database, a tool can also be provided for the operator or the store manager, so that the operator or the store manager can use this tool to submit the The category change value configuration information of a specific physical store type. Specifically, see Figure 6 , Embodiment 3 of the present applica...
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