CN115827707A - Enterprise query method, system, terminal and storage medium - Google Patents
Enterprise query method, system, terminal and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of enterprise information query, in particular to an enterprise query method, an enterprise query system, a terminal and a storage medium, wherein the method comprises the following steps: acquiring a plurality of current recall fields; acquiring a combined field based on the multiple current recall fields; based on the combined field, acquiring the field weight of the current recall field; generating initial recall information based on the combined fields and the field weights; judging whether repeated information exists in the initial recall information or not and generating a judgment result; and generating enterprise recall information based on the judgment result. The method and the device are beneficial to facilitating the user to inquire the satisfactory enterprise information.
Description
Technical Field
The present application relates to the field of enterprise information query technologies, and in particular, to an enterprise query method, system, terminal, and storage medium.
Background
With the development of science and technology and economy, the quality of life of people is improved day by day, the economic situation is well, the enterprise information tends to be standardized and transparent on the evaporating day of the development of enterprises, and people can inquire the information of the enterprises through an enterprise inquiry system and know the operation condition, the risk condition and the like of the enterprises in time.
When people inquire enterprises, related recall fields are usually directly input into an inquiry system, and the inquiry system feeds back search results corresponding to the recall fields, however, because the number of the enterprises is large and the enterprise information has a large amount of text and data description, the related recall fields are directly input into the inquiry system for enterprise inquiry, the recall fields are fixed, the richness of the data cannot be embodied, and when the quality of some recall fields is poor, the quality of the recall results is also poor, so that users are inconvenient to inquire the enterprise information which satisfies the recall fields.
Disclosure of Invention
In order to facilitate a user to inquire satisfactory enterprise information, the application provides an enterprise inquiry method, an enterprise inquiry system, a terminal and a storage medium.
In a first aspect, the present application provides an enterprise query method, which adopts the following technical solutions:
an enterprise query method, comprising:
acquiring a plurality of current recall fields;
acquiring a combined field based on the plurality of paths of current recall fields;
based on the combined field, acquiring the field weight of the current recall field;
generating initial recall information based on the combined field and the field weight;
judging whether repeated information exists in the initial recall information and generating a judgment result;
and generating enterprise recall information based on the judgment result.
By adopting the technical scheme, all current recall fields are obtained firstly, combined fields are generated according to all current recall fields, then weight configuration is carried out on the recall fields according to the combined fields, initial recall information is generated according to the content of the combined fields and the weights corresponding to different current recall fields, whether repeated information exists in the initial recall information or not is judged, a judgment result is generated, and enterprise recall information is generated according to the judgment result;
according to the multi-way recall method, the enterprise information is recalled in multiple ways by adopting different combined fields according to different characteristics and different weights of different current recall fields, the richness of the initial recall information is favorably improved, meanwhile, the initial recall information is sequenced according to the weights, and finally the enterprise recall information is generated according to the judgment result, so that the repetition degree of the enterprise recall information is favorably reduced, the query speed of a user is favorably improved, and the user can conveniently query the enterprise information satisfying the enterprise recall information.
Optionally, the specific step of obtaining the combined field based on the multiple current recall fields includes:
acquiring a target combination mode based on the current recall field;
and acquiring a combined field based on the target combination mode.
By adopting the technical scheme, the combined field is generated for the current recall field according to different combination modes, and the subsequent weight assignment of the current recall field according to different combination modes is facilitated.
Optionally, the specific step of obtaining the target combination mode based on the current recall field includes:
acquiring a target user;
judging whether the target user has a historical query record;
if the target user has the historical query information, judging whether the current recall field exists in the historical query record;
if the current recall field exists in the historical query record, acquiring field query times;
and acquiring the target combination mode based on the field query times.
By adopting the technical scheme, whether a target user has a historical query record is judged firstly, when the target user has the historical query record, the user is indicated to perform enterprise information query on the platform, whether a current recall field exists in the historical query record needs to be judged again, if the current recall field exists in the historical query record, the user is indicated to perform enterprise information query by using the current recall field, so that the field query times are obtained again, the target combination mode is obtained according to the field query times, and the target combination mode is generated by combining the historical query record and the field query times, so that the interested direction of the user is favorably analyzed, the target combination mode is generated on the basis of the interested direction of the user, and the user can conveniently query satisfied enterprise information.
Optionally, the specific step of obtaining the target combination mode based on the number of field queries includes:
sorting the field query times and generating a sorted list;
acquiring a target recall field based on the sorted list, wherein the target recall field is a current recall field with equal field query times;
acquiring the target number of the current recall field corresponding to the target field based on the target recall field;
judging whether the number of the targets is more than 1;
if the number of the targets is larger than 1, acquiring a query trend based on the historical query record;
and acquiring the target combination mode based on the ordered list and the query trend.
By adopting the technical scheme, the query results are sorted to generate the sorted list, the target recall fields are obtained according to the sorted list, the target number of the current recall fields corresponding to the target fields is obtained according to the target recall fields, whether the target number is more than 1 is judged, if the target number is more than 1, the fact that the field query times corresponding to a plurality of current recall fields are the same is indicated, it is not easy to distinguish which current recall fields are more inclined by a user, the query trend needs to be obtained, and the analysis of which current recall fields the user is more inclined to is facilitated according to the query trend, so that the query of the user to the enterprise information satisfying the user is facilitated.
Optionally, after the determining whether the current recall field exists in the historical query record if the historical query information exists in the target user, the method further includes:
if the current recall field does not exist in the historical query record, judging whether the target user has an associated enterprise;
if the associated enterprise exists in the target user, acquiring associated information based on the associated enterprise;
acquiring first association degrees of the associated information and different current recall fields;
and acquiring the target combination mode based on the first association degree.
By adopting the technical scheme, if the current recall field does not exist in the historical query record, the fact that the user does not perform enterprise information query based on the current recall field is indicated, whether the target user has an associated enterprise or not is further judged, if the target user has an associated enterprise, the associated information is obtained, the first association degrees of the associated information and different recall fields are obtained, and the deeper contact between the enterprise associated with the user and which current recall field is obtained according to the first association degrees, so that the current recall field with the higher first association degree with the associated enterprise is preferentially arranged according to the target combination mode obtained according to the contact depth, and the enterprise information satisfying the user can be conveniently queried by the user.
Optionally, the method further includes:
if the target user does not have the historical query information and/or if the target user does not have the associated enterprise, acquiring target historical data;
obtaining a preferential recall field based on the target historical data;
acquiring a second association degree of the priority recall field and different current recall fields;
and acquiring the target combination mode based on the second association degree.
By adopting the technical scheme, when the target user does not have historical query information and/or when the target user does not have associated enterprises, which combination mode is more suitable for the user cannot be known, so that the preferential recall field is obtained according to the target historical data, the target combination mode is obtained according to the second association degree of the preferential recall field and the current recall field, and the current recall field with the second association degree higher than that of the preferential recall field is preferentially combined with the preferential recall field, thereby being beneficial to facilitating the user to query the enterprise information which is satisfactory for the user.
Optionally, the determination result includes that the repeated information exists in the initial recall information and that the repeated information does not exist in the initial recall information; the specific step of generating the enterprise recall information based on the judgment result comprises the following steps:
if the repeated information does not exist in the initial recall information, sequencing the initial recall information based on the current recall field and generating a first sequencing result;
generating enterprise recall information based on the first ranking results;
if the repeated information exists in the initial recall information, the initial recall information is subjected to duplicate removal based on the repeated information, and the duplicate-removed initial recall information is sorted based on the current recall field to generate a second sorting result;
and generating enterprise recall information based on the second sorting result.
By adopting the technical scheme, if the repeated information does not exist in the initial recall information, the initial recall information can be directly sequenced and enterprise recall information is generated, if the repeated information exists in the initial recall information, the initial recall information needs to be de-duplicated, and then the de-duplicated initial recall information is sequenced and the enterprise recall information is generated; the initial recall information is subjected to deduplication, and the initial recall information subjected to the deduplication is interspersed and mixed according to a certain proportion, so that the repeatability of enterprise recall information is reduced, and the richness of the enterprise recall information is improved.
In a second aspect, the present application further discloses an enterprise query system, which adopts the following technical solution:
an enterprise query system, comprising:
the first acquisition module is used for acquiring the multi-path recall fields;
the second acquisition module is used for acquiring a combined field based on the plurality of paths of current recall fields;
a third obtaining module, configured to obtain a field weight of the current recall field based on the combined field;
a first generating module, configured to generate initial recall information based on the combined field and the field weight;
the judging module is used for judging whether repeated information exists in the initial recall information or not and generating a judging result;
and the second generation module is used for generating enterprise recall information based on the judgment result.
By adopting the technical scheme, all current recall fields are obtained firstly, combined fields are generated according to all current recall fields, then weight configuration is carried out on the recall fields according to the combined fields, initial recall information is generated according to the content of the combined fields and the weights corresponding to different current recall fields, whether repeated information exists in the initial recall information or not is judged, a judgment result is generated, and enterprise recall information is generated according to the judgment result;
according to the multi-path recall method, different combined fields are adopted to recall enterprise information in multiple paths according to different characteristics and different weights of different current recall fields, the richness of initial recall information is favorably improved, meanwhile, the initial recall information is sequenced according to the weights, and finally the enterprise recall information is generated according to a judgment result, so that the repetition degree of the enterprise recall information is favorably reduced, the query speed of a user is favorably improved, and the user can conveniently query the enterprise information satisfying the enterprise recall information.
In a third aspect, the present application provides a computer apparatus, which adopts the following technical solution:
an intelligent terminal comprising a memory, a processor, said memory having stored therein a computer program operable on said processor, when loaded with the computer program, performing the method of the first aspect.
By adopting the technical scheme, the computer program is generated based on the method of the first aspect and is stored in the memory so as to be loaded and executed by the processor, and therefore, the intelligent terminal is manufactured according to the memory and the processor, and the use of a user is facilitated.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, having stored thereon a computer program which, when loaded by a processor, performs the method of the first aspect.
By adopting the technical scheme, the computer program is generated based on the method of the first aspect and is stored in the computer readable storage medium so as to be loaded and executed by the processor, and the computer program can be conveniently read and stored through the computer readable storage medium.
To sum up, the application comprises the following beneficial technical effects:
firstly, acquiring all current recall fields, combining all the current recall fields to generate combined fields, performing weight configuration on the recall fields according to the combined fields, generating initial recall information according to the content of the combined fields and weights corresponding to different current recall fields, judging whether repeated information exists in the initial recall information and generating a judgment result, and generating enterprise recall information according to the judgment result;
according to the multi-way recall method, the enterprise information is recalled in multiple ways by adopting different combined fields according to different characteristics and different weights of different current recall fields, the richness of the initial recall information is favorably improved, meanwhile, the initial recall information is sequenced according to the weights, and finally the enterprise recall information is generated according to the judgment result, so that the repetition degree of the enterprise recall information is favorably reduced, the query speed of a user is favorably improved, and the user can conveniently query the enterprise information satisfying the enterprise recall information.
Drawings
FIG. 1 is a main flowchart of an enterprise query method according to an embodiment of the present application;
fig. 2 is a flowchart illustrating specific steps from step S201 to step S202;
fig. 3 is a flowchart illustrating specific steps from step S301 to step S305;
fig. 4 is a flowchart illustrating specific steps from step S401 to step S406;
fig. 5 is a step flowchart of steps S501 to S504;
fig. 6 is a step flowchart of steps S601 to S604;
fig. 7 is a step flowchart of steps S701 to S704;
fig. 8 is a block diagram of an enterprise query system according to an embodiment of the present application.
Description of reference numerals:
1. a first acquisition module; 2. a second acquisition module; 3. a third obtaining module; 4. a first generation module; 5. a judgment module; 6. and a second generation module.
Detailed Description
In a first aspect, the present application discloses an enterprise query method.
Referring to fig. 1, an enterprise query method includes steps S101 to S106:
step S101: and acquiring a plurality of current recall fields.
Specifically, in this embodiment, a multi-way recall mode is adopted, and a multi-way current recall field is set; the current recall fields, i.e., the fields currently used for enterprise information queries, such as the enterprise name field and the enterprise investment relationship field, may be obtained from a database obtained from a search engine.
After assembling the current recall fields of different paths, simultaneously requesting a data source, wherein the maximum time consumption of a single path is the total time consumption, and the superposition of the time consumption of each path is avoided, thereby being beneficial to accelerating the query speed.
Step S102: based on the multiple current recall fields, a combined field is obtained.
Specifically, in this embodiment, the combined field, that is, the field formed by combining the current recall field according to a certain rule, for example, the current recall field includes an enterprise name field and an enterprise investment relationship field, and the combined field may be a field formed by combining the enterprise name field and the enterprise investment relationship field or a field formed by combining the enterprise investment relationship word and the enterprise name field.
Step S103: based on the combined field, a field weight of the current recalled field is obtained.
Specifically, in this embodiment, the weight may be allocated according to the sequence of different current recall fields in the combined field, and the weight in the front sequence is larger, for example, the combined field is a field formed by combining the enterprise name field and the enterprise investment relationship field, the weight of the enterprise name field may be configured to be 60%, and the weight of the enterprise investment relationship field may be configured to be 40%.
Step S104: based on the combined fields and the field weights, initial recall information is generated.
Specifically, in this embodiment, the initial recall information is the enterprise information that is generated according to the weight ranking.
Step S105: and judging whether repeated information exists in the initial recall information and generating a judgment result.
Specifically, in this embodiment, the repeated information is the same enterprise information obtained based on different field queries; the judgment result comprises that the repeated information exists in the initial recall information and the repeated information does not exist in the initial recall information.
Step S106: and generating enterprise recall information based on the judgment result.
Specifically, in this embodiment, the enterprise recalls the information, that is, the finally displayed enterprise information.
It should be noted that in this embodiment, when enterprise information is queried, the query is performed layer by layer in a descending manner according to the relevance from the accurate matching, including matching to the segmentation matching; the accurate matching, namely the matching information is completely consistent with the query information, the matching information comprises the query information, and the participle matching, namely the matching information comprises one or more words of the query information. The enterprise query method provided by this embodiment includes acquiring all current recall fields, combining all current recall fields to generate a combined field, performing weight configuration on the recall fields according to the combined field, generating initial recall information according to the content of the combined field and weights corresponding to different current recall fields, judging whether repeated information exists in the initial recall information and generating a judgment result, and generating enterprise recall information according to the judgment result;
according to the multi-way recall method, the enterprise information is recalled in multiple ways by adopting different combined fields according to different characteristics and different weights of different current recall fields, the richness of the initial recall information is favorably improved, meanwhile, the initial recall information is sequenced according to the weights, and finally the enterprise recall information is generated according to the judgment result, so that the repetition degree of the enterprise recall information is favorably reduced, the query speed of a user is favorably improved, and the user can conveniently query the enterprise information satisfying the enterprise recall information.
Referring to fig. 2, in one implementation manner of this embodiment, the step S102, based on multiple current recall fields, a specific step of acquiring a combined field includes steps S201 to S202:
step S201: and acquiring a target combination mode based on the current recall field.
Specifically, in this embodiment, the target combination manner is a combination rule for combining the current recall fields.
Step S202: and acquiring a combination field based on the target combination mode.
According to the enterprise query method provided by the embodiment, the combined fields are generated according to different combination modes for the current recall fields, and the weight assignment of the current recall fields according to different combination modes is facilitated subsequently.
Referring to fig. 3, in one implementation of this embodiment, the step S201, based on the current recall field, includes steps S301 to S305:
step S301: and acquiring the target user.
Specifically, in this embodiment, the target user, that is, the user currently performing the enterprise query, may invoke the target user from the database.
Step S302: and judging whether the target user has a historical query record.
Specifically, in this embodiment, the historical query records, that is, the records of the enterprise queried by the target user in the past, may be obtained by searching the database for relevant data, so as to perform the determination.
Step S303: and if the target user has the historical query information, judging whether the current recall field exists in the historical query record.
Specifically, in this embodiment, the current recall field is compared with the historical query record, so that whether the current recall field exists in the historical query record can be determined.
Step S304: and if the current recall field exists in the historical query record, acquiring the field query times.
Specifically, in this embodiment, the field query times are the query times for different current recall fields, for example, when enterprise information is queried, an enterprise name field is used 10 times, the field query times corresponding to the enterprise name field is 10, and the field query times can be obtained from the database.
Step S305: and acquiring a target combination mode based on the field query times.
Specifically, in this embodiment, the fields are sorted from high to low in query times, and the target combination manner is generated according to the sorting, for example, the use times corresponding to the field a, the field B, and the field C are respectively 10 times, 8 times, and 9 times, and then the target combination manner is combined according to the sequence of ACB.
The enterprise query method provided by the embodiment comprises the steps of judging whether a target user has a historical query record or not, when the target user has the historical query record, indicating that the user has performed enterprise information query on a platform, and therefore judging whether a current recall field exists in the historical query record or not, and if the current recall field exists in the historical query record, indicating that the user has performed enterprise information query by using the current recall field, and therefore, acquiring the field query times, acquiring a target combination mode according to the field query times, and being conductive to analyzing the direction in which the user is interested by combining the historical query record and the field query times, so that the target combination mode is generated on the basis of the direction in which the user is interested, and being conductive to facilitating the user to query satisfactory enterprise information.
Referring to fig. 4, in one implementation of this embodiment, the specific step of step S305 obtaining the target combination based on the number of field queries includes steps S401 to S406:
step S401: and sequencing the number of times of field query and generating a sequencing list.
Specifically, in this embodiment, the sorted list includes field query times sorted according to a predetermined sorting rule, and the predetermined rule may be in an order from a large query time to a small query time.
Step S402: and acquiring a target recall field based on the sorted list, wherein the target recall field is a current recall field with equal field query times.
Specifically, in this embodiment, the target recall field is a current recall field with equal field query times, for example, the sorted list includes a field a, a field B, a field C, and a field D, the field query times corresponding to the fields are 10 times, 9 times, and 8 times, respectively, and then the target recall field is the field a and the field B.
Step S403: and acquiring the target number of the current recall field corresponding to the target field based on the target recall field.
Specifically, in this embodiment, it can be seen that the number of times the fields corresponding to the field a and the field B are queried is equal, and the number of targets is 2 (i.e., a and B).
Step S404: and judging whether the target number is more than 1.
Step S405: and if the number of the targets is more than 1, acquiring a query trend based on the historical query records.
Specifically, in this embodiment, the query trend is a development direction of which the user is about to or more prefers to query what kind of currently recalled fields according to the historical query records.
Step S406: and acquiring a target combination mode based on the sorted list and the query trend.
Specifically, in this embodiment, the arrangement order of the target recall fields is selected according to the query trend, and finally, the target combination mode is generated according to the arrangement list and the arrangement order.
The enterprise query method provided by the embodiment of the invention is characterized in that query results are sorted to generate the sorted list, target recall fields are obtained according to the sorted list, the target number of current recall fields corresponding to the target fields is obtained according to the target recall fields, whether the target number is more than 1 is judged, if the target number is more than 1, the field query times corresponding to a plurality of current recall fields are the same, which current recall fields are not easy to distinguish, and therefore, a query trend needs to be obtained, and the analysis of which current recall fields a user prefers to is facilitated according to the query trend, so that the enterprise query method is beneficial to facilitating the query of the user to satisfying enterprise information.
Referring to fig. 5, in one implementation manner of this embodiment, if the target user has history query information in step S303, after determining whether the current recall field exists in the history query record, the method further includes steps S501 to S504:
step S501: and if the current recall field does not exist in the historical query record, judging whether the target user has an associated enterprise.
Specifically, in this embodiment, the associated enterprise, that is, an enterprise having an association relationship with the target user, for example, an enterprise where the target user is located, or an enterprise owned by the target user, may query, from the database, user information corresponding to the target user, where the user information includes identity information of the target user, information of the associated enterprise, and the like, where the identity information includes a name, an account, and the like, and the enterprise association information includes whether the target user has an associated enterprise, enterprise information of the associated enterprise, and the like.
Step S502: and if the target user has the associated enterprise, acquiring the associated information based on the associated enterprise.
Specifically, in this embodiment, the related information is enterprise information of a related enterprise.
Step S503: and acquiring a first association degree of the association information and different current recall fields.
Specifically, in this embodiment, the first association degree, that is, the association degree between the association information and different current recall fields, may be calculated according to a preset rule, where the preset calculation rule is set according to the association information, for example, according to the number of times that the current recall field appears in the association information.
Step S504: and acquiring a target combination mode based on the first association degree.
Specifically, in this embodiment, the target combination modes are generated in the order of the first relevance degree from high to low.
According to the enterprise query method provided by the embodiment, if the current recall field does not exist in the historical query record, it is indicated that the user does not perform enterprise information query based on the current recall field, so that whether the target user has an associated enterprise or not is further judged, if the target user has an associated enterprise, the associated information is obtained, the first association degrees of the associated information and different recall fields are obtained, and according to the first association degrees, the deeper connection between the enterprise associated with the user and which current recall field is obtained, so that according to the connection depth, the target combination mode is obtained, the current recall field with the high first association degree with the associated enterprise is preferentially arranged, and the user can conveniently query the enterprise information satisfying the enterprise information.
Referring to fig. 6, in one implementation of this embodiment, the method further includes steps S601 to S604:
step S601: and if the target user does not have the historical query information and/or if the target user does not have the associated enterprise, acquiring the target historical data.
Specifically, in this embodiment, the query data generated when the user used in the query platform performs enterprise information query, that is, the target history data, is the number of times a certain field is used, for example.
Step S602: a priority recall field is obtained based on the target historical data.
Specifically, in this embodiment, the priority recall field is a current recall field with the largest number of uses obtained according to the target history data.
Step S603: and acquiring a second association degree of the priority recall field and different current recall fields.
Specifically, in this embodiment, the second association degree is an association degree between the priority recall field and different current recall fields.
Step S604: and acquiring a target combination mode based on the second association degree.
Specifically, in this embodiment, the target composition manner is generated in the order from high to low of the second degree of association
According to the enterprise query method provided by the embodiment, when the target user does not have historical query information and/or when the target user does not have associated enterprises, which combination mode is more suitable for the user cannot be known, so that the preferential recall field is obtained according to the target historical data, the target combination mode is obtained according to the second association degree of the preferential recall field and the current recall field, and the current recall field with the second association degree higher than that of the preferential recall field is preferentially combined with the preferential recall field, so that the enterprise query method is beneficial to the convenience of the user to query the enterprise information which satisfies the user.
Referring to fig. 7, in one implementation manner of this embodiment, the specific step of generating the enterprise recall information based on the determination result in step S106 includes steps S701 to S704:
step S701: and if no repeated information exists in the initial recall information, sorting the initial recall information based on the current recall field and generating a first sorting result.
Specifically, in this embodiment, the first sorting result is a sorting result generated by the initial recall information according to a preset sorting rule, and the preset sorting rule may be set according to the combined field, for example, information corresponding to a current recall field that is sorted earlier in the combined field is preferentially sorted, information corresponding to different current recall fields is interspersed according to a certain proportion, and the like.
Step S702: generating enterprise recall information based on the first ranking results.
Step S703: and if the repeated information exists in the initial recall information, the initial recall information is subjected to duplicate removal based on the repeated information, and the duplicate-removed initial recall information is sorted based on the current recall field to generate a second sorting result.
Specifically, in this embodiment, the second sorting result is different from the first sorting result in that the second sorting result is a sorting result generated according to a preset sorting rule after removing the repeated information in the initial sorting result.
Step S704: and generating enterprise recall information based on the second sorting result.
According to the enterprise query method provided by the embodiment, if the repeated information does not exist in the initial recall information, the initial recall information can be directly sequenced to generate enterprise recall information, if the repeated information exists in the initial recall information, the initial recall information needs to be de-duplicated, and then the de-duplicated initial recall information is sequenced to generate the enterprise recall information; the initial recall information is subjected to deduplication, and the initial recall information subjected to the deduplication is interspersed and mixed according to a certain proportion, so that the repeatability of enterprise recall information is reduced, and the richness of the enterprise recall information is improved.
The implementation principle of the enterprise query method in the embodiment of the application is as follows: acquiring a plurality of current recall fields; acquiring a combined field based on the multiple current recall fields; based on the combined field, acquiring the field weight of the current recall field; generating initial recall information based on the combined fields and the field weights; judging whether repeated information exists in the initial recall information and generating a judgment result; and generating enterprise recall information based on the judgment result.
In a second aspect, the application also discloses an enterprise query system.
Referring to fig. 8, an enterprise query system includes:
the first acquisition module 1 is used for acquiring a plurality of recalling fields;
the second acquisition module 2 is used for acquiring the combined field based on the multiple current recall fields;
a third obtaining module 3, configured to obtain a field weight of the current recall field based on the combined field;
a first generating module 4, configured to generate initial recall information based on the combined fields and the field weights;
the judging module 5 is used for judging whether repeated information exists in the initial recall information and generating a judging result;
and the second generation module 6 is used for generating enterprise recall information based on the judgment result.
The implementation principle of the enterprise query system in the embodiment of the application is as follows: the method comprises the steps that a first acquisition module 1 acquires multiple recalling fields and sends the recalling fields to a second acquisition module 2, the second acquisition module 2 acquires combined fields based on multiple current recalling fields and sends the combined fields to a third acquisition module 3, the third acquisition module 3 acquires field weights of the current recalling fields based on the combined fields and sends the field weights to a first generation module 4, the first generation module 4 generates initial recall information based on the combined fields and the field weights and sends the initial recall information to a judgment module 5, the judgment module 5 judges whether repeated information exists in the initial recall information or not to generate a judgment result and sends the judgment result to a second generation module 6, and the second generation module 6 generates enterprise recall information based on the judgment result, so that the technical effect same as that of the enterprise query method is achieved.
In a third aspect, an embodiment of the present application discloses an intelligent terminal, which includes a memory and a processor, where the memory is used to store a computer program capable of running on the processor, and when the processor loads the computer program, the enterprise query method of the foregoing embodiment is executed.
In a fourth aspect, an embodiment of the present application discloses a computer-readable storage medium, and a computer program is stored in the computer-readable storage medium, where the computer program is loaded by a processor, and executes an enterprise query method of the foregoing embodiment.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. An enterprise query method, comprising:
acquiring a plurality of current recall fields;
acquiring a combined field based on the plurality of paths of current recall fields;
acquiring the field weight of the current recall field based on the combined field;
generating initial recall information based on the combined field and the field weight;
judging whether repeated information exists in the initial recall information and generating a judgment result;
and generating enterprise recall information based on the judgment result.
2. The method according to claim 1, wherein said step of obtaining a combined field based on a plurality of said current recalled fields comprises:
acquiring a target combination mode based on the current recall field;
and acquiring a combined field based on the target combination mode.
3. The method according to claim 2, wherein the step of obtaining the target combination based on the current recall field comprises:
acquiring a target user;
judging whether the target user has a historical query record;
if the target user has the historical query information, judging whether the current recall field exists in the historical query record;
if the current recall field exists in the historical query record, acquiring field query times;
and acquiring the target combination mode based on the field query times.
4. The enterprise query method according to claim 3, wherein the specific step of obtaining the target combination manner based on the number of field queries comprises:
sorting the field query times and generating a sorted list;
acquiring a target recall field based on the sorted list, wherein the target recall field is a current recall field with equal field query times;
acquiring the target number of the current recall field corresponding to the target field based on the target recall field;
judging whether the number of the targets is more than 1;
if the number of the target fields is larger than 1, acquiring a query trend based on the historical query record;
and acquiring the target combination mode based on the ordered list and the query trend.
5. The method as claimed in claim 3, wherein after said determining whether the current recall field exists in the historical query record if the historical query information exists in the target user, the method further comprises:
if the current recall field does not exist in the historical query record, judging whether the target user has an associated enterprise;
if the target user has the associated enterprise, acquiring associated information based on the associated enterprise;
acquiring first association degrees of the associated information and different current recall fields;
and acquiring the target combination mode based on the first association degree.
6. The method of claim 5, further comprising:
if the target user does not have the historical query information and/or if the target user does not have the associated enterprise, acquiring target historical data;
acquiring a priority recall field based on the target historical data;
acquiring a second association degree of the priority recall field and different current recall fields;
and acquiring the target combination mode based on the second association degree.
7. The method of claim 1, wherein the determination result includes the existence of the duplicate information in the initial recall information and the absence of the duplicate information in the initial recall information; the specific step of generating the enterprise recall information based on the judgment result comprises the following steps:
if the repeated information does not exist in the initial recall information, sequencing the initial recall information based on the current recall field and generating a first sequencing result;
generating enterprise recall information based on the first ranking results;
if the repeated information exists in the initial recall information, the initial recall information is subjected to duplicate removal based on the repeated information, and the duplicate-removed initial recall information is sorted based on the current recall field to generate a second sorting result;
and generating enterprise recall information based on the second sorting result.
8. An enterprise query system, comprising:
the first acquisition module (1) is used for acquiring a plurality of paths of current recall fields;
a second obtaining module (2) for obtaining a combined field based on a plurality of paths of current recall fields;
a third obtaining module (3) for obtaining the field weight of the current recall field based on the combined field;
a first generating module (4) for generating initial recall information based on the combined fields and the field weights;
the judging module (5) is used for judging whether repeated information exists in the initial recall information and generating a judging result;
and the second generation module (6) is used for generating enterprise recall information based on the judgment result.
9. An intelligent terminal comprising a memory and a processor, wherein the memory is used for storing a computer program capable of running on the processor, and the processor executes the method of any one of claims 1 to 7 when loaded with the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being loaded by a processor, carries out the method of any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116578754A (en) * | 2023-07-13 | 2023-08-11 | 杭州之数科技有限公司 | Enterprise data accurate query method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116578754A (en) * | 2023-07-13 | 2023-08-11 | 杭州之数科技有限公司 | Enterprise data accurate query method and system |
| CN116578754B (en) * | 2023-07-13 | 2023-11-03 | 杭州之数科技有限公司 | Enterprise data accurate query method and system |
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