CN111078988A - Electric power service information hotspot retrieval method and device and electronic equipment - Google Patents
Electric power service information hotspot retrieval method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for searching electric power service information hot spots and electronic equipment, wherein the method comprises the following steps: in response to a received retrieval request for instructing a user to retrieve power service information, identifying user demand information corresponding to the retrieval request; searching power service information corresponding to user demand information in a pre-established resource library; and retrieving the power service information includes: counting the number of the power service work orders corresponding to the user demand information in a preset time period according to the intention keywords; sorting the intention keywords according to the number of the power service work orders from high to low to obtain the power service information corresponding to the first sorting result; and displaying the first N pieces of electric power service information in the first sequencing result according to a first preset rule. The user demand information can be rapidly acquired, the user can acquire data and application information more conveniently, more rapidly and more visually, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method and a device for searching electric power service information hotspots and electronic equipment.
Background
The electric power service information hotspot retrieval is to quickly and timely master the development conditions and the obtained results of novel services and special services through specific keyword index screening, provide basis (service development basis or improvement basis) for formulating special service development strategies, expanding novel services and improving working efficiency, help a power grid to realize specific keyword hotspot retrieval, acquisition and maintenance functions, and embody the value of omnibearing acquisition and timely maintenance of specific keywords. The power grid company can provide services actively, and the market leading position is occupied.
Three layers of problems need to be solved for good support of customer service work: what to see, what to search, and how to search.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method, a device and electronic equipment for searching the hotspot of the power service information, which can quickly acquire the information required by a user, so that the user can acquire data and application information more conveniently, quickly and intuitively, and the user experience is improved.
In a first aspect, the present invention provides a method for retrieving a hotspot of power service information, where the method includes: in response to a received retrieval request for instructing a user to retrieve power service information, identifying user demand information corresponding to the retrieval request; wherein the user requirement information comprises an intention keyword of retrieval information contained in the retrieval request; searching power service information corresponding to the user demand information in a pre-established resource library; and retrieving the power service information comprises: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; sequencing the intention keywords according to the number of the power service work orders from high to low to obtain the power service information corresponding to a first sequencing result; and displaying the first N pieces of electric power service information in the first sequencing result according to a first preset rule.
Preferably, the identifying, in response to a received retrieval request for instructing a user to retrieve power service information, user demand information corresponding to the retrieval request includes: analyzing the retrieval information to obtain the intention of the user; and identifying the user requirement information associated with the user intention according to the user intention.
Preferably, the analyzing the search information to obtain the user intention includes: performing semantic analysis on the retrieval information to obtain the intention keywords; and composing the user intention according to the intention keywords.
Preferably, the analyzing the search information to obtain the user intention includes: performing semantic analysis on the retrieval information to obtain the intention keywords; performing behavior analysis on the retrieval information to obtain first historical demand information associated with user behaviors; carrying out early warning analysis on the retrieval information to obtain second historical demand information associated with an early warning object; and forming the user intention according to the intention keyword, the first historical demand information and the second historical demand information.
Preferably, the analyzing the search information to obtain the user intention includes: performing semantic analysis on the retrieval information to obtain the intention keywords; sequencing the intention keywords according to the frequency of the intention keywords to obtain a second sequencing result; extracting the first M intention keywords in the second sequencing result according to a second preset rule; and obtaining the user intention according to the first M intention keywords and the electric power service information indicated by the preset path.
Preferably, the resource library comprises an index library and an association library; wherein the association library comprises association data associated with the retrieval information, and the index library comprises index data for indicating the position information of the association data; and the step of retrieving the power service information corresponding to the user demand information from a pre-established resource library comprises the following steps: searching the associated data corresponding to the user requirement information in the associated library; retrieving index data corresponding to the associated data in the index repository; sorting the associated data according to a third preset rule to obtain a third sorting result; in response to retrieving the power service information corresponding to the user demand information, outputting the associated data corresponding to the third sorting result.
Preferably, the association library is established based on the following steps: responding to the matched vocabulary corresponding to the retrieval information found in the preset area, and performing word segmentation at the matched vocabulary; in response to the matched vocabulary corresponding to the retrieval information is not found in a preset area, shortening the word length of the matched vocabulary, wherein the word length is used for indicating the number of characters of the matched vocabulary; continuing to search the matched vocabulary in the preset area until the matched vocabulary is searched, and performing word segmentation at the searched matched vocabulary; and storing the word segmentation result obtained after word segmentation to obtain the association library.
In a second aspect, the present invention provides an electric power service information hotspot retrieval device, which includes: the identification module is used for responding to a received retrieval request for indicating a user to retrieve the power service information, and identifying user demand information corresponding to the retrieval request; wherein the user requirement information comprises an intention keyword of retrieval information contained in the retrieval request; the retrieval module is used for retrieving the power service information corresponding to the user demand information from a pre-established resource library; and retrieving the power service information comprises: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; sequencing the intention keywords according to the number of the power service work orders from high to low to obtain the power service information corresponding to a first sequencing result; and the display module is used for displaying the first N pieces of electric power service information in the first sequencing result according to a first preset rule.
In a third aspect, the present invention provides an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the power service information hotspot retrieval method of the first aspect.
In a fourth aspect, the present invention provides a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the steps of the power service information hotspot retrieval method described in the first aspect above.
Compared with the prior art, the invention has the following advantages:
according to the method, the device and the electronic equipment for searching the electric power service information hotspot, provided by the invention, the user demand information corresponding to a search request is identified by responding to the received search request for indicating a user to search the electric power service information; then, searching power service information corresponding to the user demand information in a pre-established resource library; and retrieving the power service information comprises: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; sequencing the intention keywords according to the number of the power service work orders from high to low to obtain the power service information corresponding to a first sequencing result; and finally, displaying the first N pieces of electric power service information in the first sequencing result according to a first preset rule. The user demand information can be rapidly acquired, the user can acquire data and application information more conveniently, more rapidly and more visually, and the user experience is improved.
Drawings
The above and other features, advantages and aspects of the present invention will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is a flow chart of one embodiment of a power service information hotspot retrieval method in accordance with the present invention;
FIG. 2 is a schematic flow chart diagram illustrating one embodiment of obtaining user intent in accordance with the present invention;
FIG. 3 is a schematic flow chart diagram illustrating another embodiment of obtaining user intent according to the present invention;
FIG. 4 is a flowchart illustrating an embodiment of retrieving power service information corresponding to user demand information from a repository according to the present invention;
FIG. 5 is a flow chart illustrating one embodiment of creating an associative library according to the present invention;
fig. 6 is a schematic structural diagram of an embodiment of an electric power service information hotspot retrieval device according to the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the following will describe in detail an implementation method of the present invention with reference to the accompanying drawings and embodiments, so that how to apply technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented.
Example one
Referring to fig. 1, a flowchart of an embodiment of a power service information hotspot retrieval method according to the present invention is shown, as shown in fig. 1, the power service information hotspot retrieval method includes the following steps S101 to S103.
Step S101, responding to a received retrieval request for instructing a user to retrieve power service information, and identifying user demand information corresponding to the retrieval request; wherein, the user requirement information comprises an intention keyword of the retrieval information contained in the retrieval request;
the power service information may be service information about power that can be provided to the user, and may be, for example, power rate inquiry service information or maintenance service information provided to the user.
The search information may be question information that a user inputs and wants to consult, and may be, for example, "how much the current electricity fee is", a matching vocabulary corresponding to "how much the current electricity fee is" is searched for in the preset region, and after the matching vocabulary of "electricity fee" is searched, a word may be segmented at the "electricity fee", and the obtained segmented word may be "current", "electricity fee", and "how much.
The intention keyword may be a keyword capable of reflecting the current needs of the user or other words similar to or identical to the intention of the keyword. For example, if the search request may be "repair", the intention keyword may be a word substantially similar to "repair", such as "repair", "maintenance", "repair", or "repair". The user requirement information may be information that essentially embodies the search request (i.e., the search information).
The user may input the search request by inputting the search information in a preset search box. When the user inputs the search information in the search box, the search system for responding to the search request can identify the intention keyword in the search information to obtain the user requirement information, and then the identified user requirement information can be sent to a search engine of the search system, and the search information is further searched through the search engine.
In some optional implementations, the step S101 may include the following steps:
step 1: analyzing the retrieval information to obtain the intention of the user;
step 2: and identifying the user requirement information associated with the user intention according to the user intention.
The nature of the retrieval operation by the user is that he wishes to be able to find an answer to a central question. Therefore, the search for the power service information may be a process of identifying a series of central problems of the user by extracting search information input by the user in the search box, and combining various analysis actions (including behavior analysis between the user, the same department, and the same role), abnormal data analysis and comprehensive judgment.
Specifically, in some optional implementation manners, in step 1, semantic analysis may be performed on the search information to obtain the intention keyword, and the user intention may be composed according to the intention keyword.
The task of semantic analysis varies from language unit to language unit. At the word level, the basic task of semantic analysis is to perform word sense disambiguation. Since a word is the smallest unit of language that can be used independently, the meaning of each word in a sentence and its interaction in a particular context constitute the meaning of the entire sentence. Thus, word sense disambiguation, sometimes referred to as word sense tagging, whose task is to determine the specific meaning of a ambiguous word in a given context, is the basis for semantic understanding of sentences and chapters.
In other alternative implementations, step 1 may include the following steps:
step S201, semantic analysis is carried out on the retrieval information to obtain the intention keywords;
step S202, performing behavior analysis on the retrieval information to obtain first historical demand information associated with user behaviors;
that is, through analyzing the relationship between the recent usage behavior of the user and the user requirement, the information such as indexes, reports and problems possibly related to the user requirement information can be provided for the identification operation.
Step S203, carrying out early warning analysis on the retrieval information to obtain second historical demand information associated with an early warning object;
that is, by performing correlation analysis on the index or service which has been subjected to early warning recently and the user requirement, information such as indexes, reports and problems which may be related to the user requirement information is provided for the identification operation.
And step S204, forming the user intention according to the intention keyword, the first history requirement information and the second history requirement information.
The operation of identifying the user requirement information is further perfected by obtaining the intention keywords and further obtaining the first historical requirement information and the second historical requirement information.
In other alternative implementations, step 1 may further include the following steps:
step S301, performing semantic analysis on the search information to obtain the intention keyword.
Step S302, sorting the intention keywords according to the frequency of the intention keywords to obtain a second sorting result.
The service requirement ranking expected by the user can be reflected by the frequency of the intention keywords, the ranking is performed according to the mode, the user requirement can be better known, the user can be responded quickly, and the user experience is improved.
Step S303, extracting the top M intention keywords in the second sorting result according to a second preset rule.
The second preset rule may specify that the first few intention keywords in the second ranking result are extracted as hotwords to respond to the user. I.e., the value of M. For example, M may be defined as 5, and all the top 5 words in the second ranking result may be extracted as hotwords.
Step S304, obtaining the user intention according to the first M intention keywords and the power service information indicated by the preset path.
The preset path may be a navigation path, for example, a path in a navigation library formed based on a power supply command platform, and may associate the user work order with a navigation link to obtain the user intention.
The composition user intention may be output by, for example, a recognition model that performs judgment analysis based on a certain judgment rule on the search information and outputs the user requirement information after the recognition.
Step S102, searching electric power service information corresponding to the user demand information in a pre-established resource library; and retrieving the power service information includes: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; and sorting the intention keywords according to the number of the electric power service work orders from high to low to obtain the electric power service information corresponding to the first sorting result.
The preset time period may be, for example, 1 second, 2 seconds, or the like.
Further, in the step of retrieving the power service information, the number and the region visual distribution of the power service work orders within a certain time period can be counted according to the intention keywords, the work orders are sorted according to the number according to the intention keywords, and drilling can be supported by clicking (the granularity is analyzed to reach province, city and county).
The resource library comprises an index library and an association library; the association library includes association data associated with the search information, and the index library includes index data indicating position information of the association data.
Here, the information related to the user requirement information may be searched in the association library according to the user requirement information, and after other information such as a position link of the related information is searched through the index library.
The index library may record the corresponding relationship between the service vocabulary and the index, the report, the hot word, and the navigation path, for example. The association library may record, for example, association relationships (such as hierarchy, sequence, similarity, etc.) between indexes and indexes, between indexes and reports, between indexes and hotwords, between indexes and navigation, between reports and reports, between reports and hotwords, and the like.
Further, the step S102 may include the following steps:
step S401 is to search the association database for association data corresponding to the user demand information.
The associated data may be data associated with the user requirement information, for example, the associated data corresponding to the user requirement information of "maintenance" may be "troubleshooting".
Step S402, searching index data corresponding to the related data in the index database; the location information of the associated data can be found through the index data.
Step S403, sorting the associated data according to a third preset rule to obtain a third sorting result;
the third preset rule may specify, for example, that keywords in the top 3 pieces of the associated data in the third ranking result are extracted as hotwords in response to the user.
Step S404, in response to retrieving the power service information corresponding to the user demand information, outputting the associated data corresponding to the third sorting result.
That is, when an instruction to search for power service information corresponding to the user demand information is received, the associated data corresponding to the hotword may be output. That is, for example, keywords in the top 3 pieces of the related data in the third ranking result may be output.
In some optional implementations, the association library is established based on the following steps:
step S501, in response to the fact that the matched vocabulary corresponding to the retrieval information is found in the preset area, word segmentation is carried out on the matched vocabulary;
the preset area may be a database, a memory, or an area where data can be substantially stored. For example, the data may be stored in the preset area in advance, so that when the power service information data is received, the matching vocabulary corresponding to the power service information data can be quickly found in the preset area and responds to the user.
Step S502, in response to that the matching vocabulary corresponding to the search information is not found in the preset area, shortening a word length of the matching vocabulary, where the word length is used to indicate a number of characters of the matching vocabulary.
For example, the search information is "when power fails today", and after the word segmentation processing is performed on the search information, no matching word is found in the preset area after the word segmentation processing is performed on the search information, and then the word segmentation processing is performed on each word segmentation to obtain "today", "what", "when", "meeting" and "power failure" for searching.
Step S503, continue to search the matching vocabulary in the preset region until the matching vocabulary is found, and perform word segmentation on the found matching vocabulary.
And step S504, storing the word segmentation result obtained after word segmentation to obtain the association library.
After the association library is established, the association data in the association library can be retrieved through the index library, and the association data can be more suitable for user requirements after word segmentation processing.
Step S103, displaying the first N pieces of the electric power service information in the first sorting result according to a first preset rule.
The first preset rule may specify that the extraction of the first few intention keywords located in the first ranking result as hotwords is responsive to the user. I.e. the value of N. For example, if N is 4, the top 4 words in the first ranking result may be extracted as hotwords.
In the display, in addition to the above-mentioned electric power service information, data related to the user, the distribution room, the area, and data related to the electric power service work order may be simultaneously displayed.
For example, when the user inputs "electric", the user requirement information corresponding to "electric" is identified as "electric vehicle", "charging pile", and the like, data related to "electric vehicle", "charging pile" is retrieved from the resource library, finally, the power service work order ranking is counted from dimensions such as time, region, quantity, and the like according to the keywords, and then the power service work order ranking can be displayed to the user together.
In the present embodiment, by first responding to a received retrieval request for instructing a user to retrieve power service information, user demand information corresponding to the retrieval request is identified; wherein, the user requirement information comprises an intention keyword of the retrieval information contained in the retrieval request; then, searching power service information corresponding to the user demand information in a pre-established resource library; and retrieving the power service information includes: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; sorting the intention keywords according to the number of the electric power service work orders from high to low to obtain the electric power service information corresponding to a first sorting result; and finally, displaying the first N pieces of electric power service information in the first sequencing result according to a first preset rule. The user demand information can be rapidly acquired, the user can acquire data and application information more conveniently, more rapidly and more visually, and the user experience is improved.
Example two
Referring to fig. 6, a schematic structural diagram of an embodiment of an electric power service information hot spot retrieval device according to the present invention is shown, as shown in fig. 6, the electric power service information hot spot retrieval device includes an identification module 601, a retrieval module 602, and a presentation module 603. The identification module 601 is configured to identify, in response to a received retrieval request for instructing a user to retrieve power service information, user demand information corresponding to the retrieval request; wherein, the user requirement information comprises an intention keyword of the retrieval information contained in the retrieval request; a retrieving module 602, configured to retrieve, from a pre-established resource library, power service information corresponding to the user demand information; and retrieving the power service information includes: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; sorting the intention keywords according to the number of the electric power service work orders from high to low to obtain the electric power service information corresponding to a first sorting result; a display module 603, configured to display the first N pieces of the electric power service information in the first ordering result according to a preset rule.
It should be noted that specific processing of the identification module 601, the retrieval module 602, and the presentation module 603 of the power service information hotspot retrieval device and technical effects thereof may refer to the related descriptions of step S101 to step S103 in the corresponding embodiment of fig. 1, and are not repeated herein.
In some optional implementations of this embodiment, the identifying module 601 is further configured to: analyzing the retrieval information to obtain the intention of the user; and according to the user intention, retrieving the user requirement information associated with the user intention.
In some optional implementations of this embodiment, the identifying module 601 is further configured to: performing semantic analysis on the retrieval information to obtain the intention keywords; and composing the user intention according to the intention keywords.
In some optional implementations of this embodiment, the identifying module 601 is further configured to: performing semantic analysis on the retrieval information to obtain the intention keywords; performing behavior analysis on the retrieval information to obtain first historical demand information associated with user behaviors; carrying out early warning analysis on the retrieval information to obtain second historical demand information associated with an early warning object; and forming the user intention according to the intention keyword, the first historical demand information and the second historical demand information.
In some optional implementations of this embodiment, the identifying module 601 is further configured to: performing semantic analysis on the retrieval information to obtain the intention keywords; sorting the intention keywords according to the frequency of the intention keywords to obtain a second sorting result; extracting the first M intention keywords in the second sequencing result according to a second preset rule; and obtaining the user intention according to the first M intention keywords and the electric power service information indicated by the preset path.
In some optional implementations of this embodiment, the resource library includes an index library and an association library; wherein the association library includes association data associated with the search information, and the index library includes index data indicating location information of the association data, the search module 602 is further configured to: searching the associated database for associated data corresponding to the user requirement information; searching the index database for index data corresponding to the associated data; sorting the associated data according to a third preset rule to obtain a third sorting result; and outputting the associated data corresponding to the third sorting result in response to retrieving the power service information corresponding to the user demand information.
In some optional implementations of the present embodiment, the retrieving module 602 is further configured to: responding to the matched vocabulary corresponding to the retrieval information searched in the preset area, and performing word segmentation at the matched vocabulary; in response to the fact that the matched vocabulary corresponding to the retrieval information is not found in the preset area, shortening the word length of the matched vocabulary, wherein the word length is used for indicating the number of characters of the matched vocabulary; continuing to search the matched vocabulary in the preset area until the matched vocabulary is searched, and performing word segmentation at the searched matched vocabulary; and storing the word segmentation result obtained after word segmentation to obtain the association library.
EXAMPLE III
The present embodiment provides an electronic device, which includes: one or more processors; the storage device stores one or more programs thereon, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method of the first embodiment.
Example four
The present embodiment provides a computer-readable medium, on which a computer program is stored, wherein the computer program is configured to implement the method of the first embodiment when executed by a processor.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A power service information hotspot retrieval method is characterized by comprising the following steps:
in response to a received retrieval request for instructing a user to retrieve power service information, identifying user demand information corresponding to the retrieval request; wherein the user requirement information comprises an intention keyword of retrieval information contained in the retrieval request;
searching power service information corresponding to the user demand information in a pre-established resource library; and retrieving the power service information comprises: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; sequencing the intention keywords according to the number of the power service work orders from high to low to obtain the power service information corresponding to a first sequencing result;
and displaying the first N pieces of electric power service information in the first sequencing result according to a first preset rule.
2. The method of claim 1, wherein identifying, in response to a received retrieval request instructing a user to retrieve power service information, user demand information corresponding to the retrieval request comprises:
analyzing the retrieval information to obtain the intention of the user;
and identifying the user requirement information associated with the user intention according to the user intention.
3. The method of claim 2, wherein analyzing the search information for user intent comprises:
performing semantic analysis on the retrieval information to obtain the intention keywords;
and composing the user intention according to the intention keywords.
4. The method of claim 2, wherein analyzing the search information for user intent comprises:
performing semantic analysis on the retrieval information to obtain the intention keywords; and
performing behavior analysis on the retrieval information to obtain first historical demand information associated with user behaviors;
carrying out early warning analysis on the retrieval information to obtain second historical demand information associated with an early warning object;
and forming the user intention according to the intention keyword, the first historical demand information and the second historical demand information.
5. The method of claim 2, wherein analyzing the search information for user intent comprises:
performing semantic analysis on the retrieval information to obtain the intention keywords; and
sorting the intention keywords according to the frequency of the intention keywords to obtain a second sorting result;
extracting the first M intention keywords in the second sequencing result according to a second preset rule;
and obtaining the user intention according to the first M intention keywords and the electric power service information indicated by the preset path.
6. The method of claim 3, wherein the repository includes an index repository and an association repository; wherein the association library comprises association data associated with the retrieval information, and the index library comprises index data for indicating the position information of the association data; and
the retrieving of the power service information corresponding to the user demand information in a pre-established resource library includes:
searching the associated data corresponding to the user requirement information in the associated library;
retrieving index data corresponding to the associated data in the index repository;
sorting the associated data according to a third preset rule to obtain a third sorting result;
in response to retrieving the power service information corresponding to the user demand information, outputting the associated data corresponding to the third sorting result.
7. The method of claim 6, wherein the association library is created based on the steps of:
responding to the matched vocabulary corresponding to the retrieval information found in the preset area, and performing word segmentation at the matched vocabulary;
in response to the matched vocabulary corresponding to the retrieval information is not found in a preset area, shortening the word length of the matched vocabulary, wherein the word length is used for indicating the number of characters of the matched vocabulary; and
continuing to search the matched vocabulary in the preset area until the matched vocabulary is found, and performing word segmentation at the found matched vocabulary;
and storing the word segmentation result obtained after word segmentation to obtain the association library.
8. An electric power service information hotspot retrieval device is characterized by comprising:
the identification module is used for responding to a received retrieval request for indicating a user to retrieve the power service information, and identifying user demand information corresponding to the retrieval request; wherein the user requirement information comprises an intention keyword of retrieval information contained in the retrieval request;
the retrieval module is used for retrieving the power service information corresponding to the user demand information from a pre-established resource library; and retrieving the power service information comprises: counting the number of the power service work orders corresponding to the user demand information within a preset time period according to the intention keywords; sequencing the intention keywords according to the number of the power service work orders from high to low to obtain the power service information corresponding to a first sequencing result;
and the display module is used for displaying the first N pieces of electric power service information in the first sequencing result according to a first preset rule.
9. An electronic device, comprising:
one or more processors;
storage means having one or more programs stored thereon which, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-7.
10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111831716A (en) * | 2020-06-17 | 2020-10-27 | 西安电子科技大学 | Data caching and retrieving method, system, medium, computer equipment and terminal |
| CN112182019A (en) * | 2020-10-20 | 2021-01-05 | 国网福建省电力有限公司经济技术研究院 | Semantic parsing search method for power grid statistics professional index feature extraction |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101789006A (en) * | 2010-01-29 | 2010-07-28 | 华东电网有限公司 | Intelligent search based quick searching method of power grid enterprise information integrating system |
| CN102012900A (en) * | 2009-09-04 | 2011-04-13 | 阿里巴巴集团控股有限公司 | An information retrieval method and system |
| CN103345489A (en) * | 2013-06-25 | 2013-10-09 | 百度在线网络技术（北京）有限公司 | Event inquiry demand processing method and device |
| CN106503033A (en) * | 2016-09-14 | 2017-03-15 | 国网山东省电力公司青岛供电公司 | A kind of single address search method of power distribution network work and device |
| CN107092682A (en) * | 2017-04-21 | 2017-08-25 | 北京恒冠网络数据处理有限公司 | A kind of free database index method of user with data acquisition |
| US20170286435A1 (en) * | 2012-01-19 | 2017-10-05 | Alibaba Group Holding Limited | Intelligent navigation of a category system |
| CN107562726A (en) * | 2017-09-06 | 2018-01-09 | 国家电网公司 | A kind of electric service search engine based on hot word |
-
2019
- 2019-12-23 CN CN201911338357.XA patent/CN111078988B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102012900A (en) * | 2009-09-04 | 2011-04-13 | 阿里巴巴集团控股有限公司 | An information retrieval method and system |
| CN101789006A (en) * | 2010-01-29 | 2010-07-28 | 华东电网有限公司 | Intelligent search based quick searching method of power grid enterprise information integrating system |
| US20170286435A1 (en) * | 2012-01-19 | 2017-10-05 | Alibaba Group Holding Limited | Intelligent navigation of a category system |
| CN103345489A (en) * | 2013-06-25 | 2013-10-09 | 百度在线网络技术（北京）有限公司 | Event inquiry demand processing method and device |
| CN106503033A (en) * | 2016-09-14 | 2017-03-15 | 国网山东省电力公司青岛供电公司 | A kind of single address search method of power distribution network work and device |
| CN107092682A (en) * | 2017-04-21 | 2017-08-25 | 北京恒冠网络数据处理有限公司 | A kind of free database index method of user with data acquisition |
| CN107562726A (en) * | 2017-09-06 | 2018-01-09 | 国家电网公司 | A kind of electric service search engine based on hot word |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111831716A (en) * | 2020-06-17 | 2020-10-27 | 西安电子科技大学 | Data caching and retrieving method, system, medium, computer equipment and terminal |
| CN112182019A (en) * | 2020-10-20 | 2021-01-05 | 国网福建省电力有限公司经济技术研究院 | Semantic parsing search method for power grid statistics professional index feature extraction |
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