CN109960752B - Query method and device in application program, computer equipment and storage medium - Google Patents
Query method and device in application program, computer equipment and storage medium Download PDFInfo
- Publication number
- CN109960752B CN109960752B CN201910295124.XA CN201910295124A CN109960752B CN 109960752 B CN109960752 B CN 109960752B CN 201910295124 A CN201910295124 A CN 201910295124A CN 109960752 B CN109960752 B CN 109960752B
- Authority
- CN
- China
- Prior art keywords
- query
- knowledge
- application program
- data
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- User Interface Of Digital Computer (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the invention discloses a query method and device in an application program, computer equipment and a storage medium. The method comprises the following steps: acquiring query information in an application program; judging the query content of the query information; if the query information is the query of the display interface in the application program, acquiring the display interface matched with the query information in the application program for displaying; and if the query information is the query of the knowledge data in the application program, acquiring at least one item of knowledge data matched with the query information in the application program and displaying the knowledge data. The embodiment of the invention can realize information query and display in the application program, and enrich the functions of the application program.
Description
Technical Field
The present invention relates to data processing technologies, and in particular, to a method and an apparatus for querying in an application program, a computer device, and a storage medium.
Background
With the popularization of mobile terminals, people's daily life becomes more and more abundant. People can conveniently use various Application programs (APP) loaded in the mobile terminal to realize various functions.
Currently, applications can be queried through databases downloaded over the internet or directly over the internet. For example, the existing word APP can download a word bank from the internet, and when a query needs to be performed, the query can be directly performed in the word bank.
However, at present, an application program can only realize a query function of a specific function, for example, a word APP can only query a word, and the content of the query is limited to the content matched with the function of the application program, and most application programs cannot perform internal query and cannot simultaneously query internal general information.
Disclosure of Invention
The embodiment of the invention provides a query method and device in an application program, computer equipment and a storage medium, which can realize information query and display in the application program and enrich the functions of the application program.
In a first aspect, an embodiment of the present invention provides a query method in an application program, including:
acquiring query information in an application program;
judging the query content of the query information;
if the query information is the query of the display interface in the application program, acquiring the display interface matched with the query information in the application program for displaying;
and if the query information is the query of the knowledge data in the application program, acquiring at least one item of knowledge data matched with the query information in the application program and displaying the knowledge data.
In a second aspect, an embodiment of the present invention further provides an apparatus for querying in an application, including:
the query information acquisition module is used for acquiring query information in the application program;
the query content judging module is used for judging the query content of the query information;
the display interface display module is used for acquiring a display interface matched with the query information in the application program to display if the query information is the query of the display interface in the application program;
and the knowledge data display module is used for acquiring at least one item of knowledge data matched with the query information in the application program for display if the query information is the query of the knowledge data in the application program.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the query method in the application program according to any one of the embodiments of the present invention when executing the program.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the query method in an application program according to any one of the embodiments of the present invention.
According to the embodiment of the invention, the query information is acquired in the application program, the query mode is determined according to the query content of the acquired query information, and the queried display interface or knowledge data is displayed, so that the internal query of the application program is realized, the problem that the information in the application program cannot be queried in the prior art is solved, the query function of the application program is increased, the diversity of the application program function is increased, the query efficiency in the application program is improved, the time for a user to hit the actually required content in the application program is shortened, and the use efficiency of the application program is improved.
Drawings
FIG. 1 is a flowchart of a query method in an application according to a first embodiment of the present invention;
FIG. 2a is a flowchart of a query method in an application according to a second embodiment of the present invention;
FIG. 2b is a diagram illustrating an application scenario to which a second embodiment of the present invention is applied;
FIG. 2c is a diagram illustrating an application scenario in which the second embodiment of the present invention is applied;
FIG. 3a is a flowchart of a query method in an application according to a third embodiment of the present invention;
FIG. 3b is a diagram illustrating an application scenario to which a third embodiment of the present invention is applied;
FIG. 3c is a diagram illustrating an application scenario to which a third embodiment of the present invention is applied;
fig. 4 is a schematic structural diagram of a query device in an application according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device in the fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a query method in an application program according to a first embodiment of the present invention, which is applicable to a situation where query information in an application program is acquired and a query operation is performed. The method can be executed by the query device in the application program provided by the embodiment of the invention, and the device can be implemented in a software and/or hardware manner, and can be generally integrated in terminal equipment for providing the application program, such as a smart phone, a tablet computer or a vehicle-mounted terminal. As shown in fig. 1, the method of this embodiment specifically includes:
s110, obtaining query information in the application program.
The application may refer to any application running in the terminal device. The query information is used for the application program to query, and may specifically include associated information for executing a query operation, where the associated information includes at least one of the following: query keywords, query type, query content, and the like.
And S120, judging the query content of the query information.
Wherein the query content is used for representing substantive matters of the query information. Illustratively, the query content includes at least one of: text queries, picture queries, audio queries, video queries, display interface queries, and the like.
Optionally, the query content of the query information is judged, which includes any one of the following items: creating two parallel threads, and simultaneously judging whether the query information is the query of a display interface in the application program and whether the query information is the query of knowledge data in the application program; firstly, judging whether the query information queries a display interface in the application program, if not, continuously judging whether the query information queries knowledge data in the application program; or firstly judging whether the query information is the query of the knowledge data in the application program, and if not, continuously judging whether the query information is the query of the display interface in the application program.
In fact, determining whether the query information is a query for a display interface within the application, and determining whether the query information is a query for knowledge data within the application, are two independent determinations, and thus the order of the determinations may be adjusted. For example, two threads may be allocated, and the query judgment of the display interface and the query judgment of the knowledge data may be performed simultaneously; or the query judgment of the display interface can be carried out in advance, and then the query judgment of the knowledge data is carried out; and inquiring and judging knowledge data in advance, and then inquiring and judging a display interface. By dividing the query content of the query information into the query of the display interface or the query of the knowledge data and correspondingly setting the judgment modes, the diversity of the query information judgment modes is increased, and the flexibility of judging the query information is improved so as to adapt to different query requirements.
S130, if the query information is the query of the display interface in the application program, acquiring the display interface matched with the query information in the application program for displaying.
The display interface is used for displaying query content, and may specifically include a display page.
Specifically, the display interface may be generated by page data pre-stored in the application program, or may also be generated by generating an interface generation request by request data pre-stored in the application program and associated with the display interface, and sending the interface generation request to the corresponding server to obtain data of the display interface fed back by the server, so as to generate the display interface.
For example, the query information is a query for a purchased air ticket in the application program, and a display interface containing the purchased air ticket information is obtained and displayed on the display screen.
S140, if the query information is the query of the knowledge data in the application program, acquiring at least one item of knowledge data matched with the query information in the application program and displaying the knowledge data.
The knowledge data may refer to data stored inside the application program, and may specifically include at least one of text data, picture data, audio data, video data, and the like.
Illustratively, the query information is a query for a peach blossom in an application program, and knowledge data including a picture of the peach blossom, a song whose lyrics include peach blossom semantics, a video including the peach blossom picture, and the like are acquired and displayed on the display screen in a list form.
Optionally, the obtaining and displaying at least one item of knowledge data matched with the query information in the application program includes: screening the acquired at least one item of knowledge data according to the query screening information, and displaying a screening result; and/or sequencing the acquired at least one item of knowledge data according to the sequencing decision information, and displaying a sequencing result.
Specifically, the query screening information is used to screen the queried knowledge data. For example, the query screening information includes at least one of a data type, storage time information, a data size, and the like, and exemplarily, the query screening information includes a picture type, the data type in the queried knowledge data is reserved for the knowledge data of the picture type, and the remaining other types of knowledge data are removed.
And the sequencing decision information is used for sequencing the queried knowledge data. For example, the sorting decision information includes at least one of storage time information, data type, data size, and the like, and is exemplarily arranged in order from near to far according to the storage time of the knowledge data, specifically, the knowledge data whose storage time is closest to the current time is arranged at the first of the display list, and the knowledge data whose storage time is farthest from the current time is arranged at the last of the display list.
The knowledge data are screened by inquiring the screening information, and/or the knowledge data are sorted by sorting the decision information, and the processed results are displayed, so that the knowledge data are preprocessed, unordered knowledge data are converted into ordered knowledge data, redundant data can be reduced, and a user can browse conveniently.
Optionally, obtaining query information in the application includes: and acquiring voice information and/or text information input by a user through a search input box in the application program to serve as the query information.
The voice information is voice for inquiring input by a user; the text information is a character string for query input by the user. Specifically, voice recognition may be performed on the voice information, and the recognized text information may be used as the query information. In addition, query keywords may also be extracted from the recognized text information or directly acquired text information as query information.
By setting the search input box in the application program, the application program receives the query information to perform query operation, so that the query function in the application program is realized.
Optionally, in the process of acquiring the voice information input by the user through the search input box in the application program, the method further includes: performing postamble association and/or input error correction on real-time information input by a user aiming at the search input box; and displaying the later-described association result and/or the input error correction result at a display position matched with the search input box.
The real-time information may refer to text information input by the user in real time. The following association is used to provide information associated with the real-time information, and specifically, the information may be complementary information of the real-time information, for example, the real-time information is boiled, and the following association includes at least one of boiled fish, boiled beef, boiled meat, and the like; the information may also be frequently queried keywords associated with real-time information, such as boiled fish, which later is associated with at least one of a price of boiled fish, a boiled fish restaurant, a boiled fish practice, and a sauerkraut fish, among others.
The input error correction is used to provide accurate query information associated with the real-time information. Specifically, the real-time information is the water fish, and the input error correction comprises the water fish; the real-time information is the siser, and the input error correction is the sister.
Wherein the following association and the input correction may be displayed under the search input box in a list form. Meanwhile, the postamble association and the input error correction may be updated in real time, and the displayed postamble association and the input error correction contents may be different from the previously displayed postamble association and the input error correction contents every time the user inputs a character string. For example, the real-time information is water boiling, which later is assumed to include at least one of water boiled fish, water boiled beef, water boiled meat, and the like; and then the user continues to input, at the moment, the real-time information is the boiled fish, and the later association comprises at least one of the price of the boiled fish, the boiled fish discharge restaurant, the boiled fish cooking method, the pickled Chinese cabbage fish and the like.
By means of the method and the device, query contents needing to be input subsequently by a user are predicted through association later, error query information input by the user is corrected through input error correction, accurate query information is predicted for the user, user query requirements are determined accurately, accordingly, queried data are guaranteed to meet the user query requirements, and query accuracy is improved.
According to the embodiment of the invention, the query information is acquired in the application program, the query mode is determined according to the query content of the acquired query information, and the queried display interface or knowledge data is displayed, so that the internal query of the application program is realized, the problem that the information in the application program cannot be queried in the prior art is solved, the query function of the application program is increased, the diversity of the application program function is increased, the query efficiency in the application program is improved, the time for a user to hit the actually required content in the application program is shortened, and the use efficiency of the application program is improved.
Example two
Fig. 2a is a flowchart of a query method in an application program according to a second embodiment of the present invention, which is embodied on the basis of the above embodiment, and the acquiring a display interface in the application program that matches with the query information to display if the query information is a query for the display interface in the application program is embodied as: matching the query information with an interface index library, wherein the interface index library stores the corresponding relation between standard interface query sentence patterns and the access addresses of the display interface; if the query information hits a target standard interface query sentence pattern in the interface index library, determining the query information as a query of a display interface in the application program; and acquiring an access address of a display interface matched with the target standard interface query sentence pattern, and acquiring the display interface matched with the target standard interface query sentence pattern according to the access address for displaying. The method specifically comprises the following steps:
s210, obtaining query information in the application program.
The application program, the query information, the query content, the display interface, the knowledge data, and the like in the present embodiment may all refer to the description of the above embodiments.
And S220, judging the query content of the query information.
And S230, matching the query information with an interface index library, wherein the interface index library stores the corresponding relation between the standard interface query sentence pattern and the access address of the display interface.
The interface index library is used for inquiring the access address of the display interface. The standard interface query sentence pattern is used for querying the access address of the display interface in the interface index library, specifically, the standard interface query sentence pattern may be a preset standard text sentence pattern, and is stored in the application program in advance. The access address is used for pointing to the display interface, specifically, the application program can send a request to a server of the display interface through the access address, and obtain interface data fed back by the server to generate the display interface; or the reference program can extract the stored display interface data from the memory space pointed by the access address through the access address to generate the display interface.
Illustratively, the standard interface query pattern stored in the interface index library is a purchase fund, and the corresponding access address of the display interface is a page address of a fund purchase webpage.
In addition, the interface index library may be an index library associated with one application program, or may be an index library associated with part or all (at least two) application programs in the terminal device.
S240, if the query information hits the target standard interface query sentence pattern in the interface index library, determining the query information as the query of the display interface in the application program.
When at least one standard interface query sentence pattern exists in the interface index library and is matched with the query information, determining that the at least one standard interface query sentence pattern is a target standard interface query sentence pattern, and simultaneously determining that the query information hits the target standard interface query sentence pattern in the interface index library, namely the query information is a query for the display interface.
The standard interface query sentence pattern and the query information are matched, wherein the semantic meaning of the standard interface query sentence pattern is the same as the semantic meaning of the query information; or any keyword in the standard interface query sentence pattern can find the same or similar corresponding keyword in the query information; it may also be that the similarity between the standard interface query sentence pattern and the query information (which may be calculated by a pre-trained machine learning model) exceeds a preset threshold.
Illustratively, the query message is "buy funds", and correspondingly, the target standard interface query sentence is "buy funds".
And S250, acquiring an access address of the display interface matched with the target standard interface query sentence pattern, and acquiring the display interface matched with the target standard interface query sentence pattern according to the access address for displaying.
The access address of the display interface is used for pointing to the display interface, and specifically, the access address of the display interface may be an access address of a web page, or an access address of a storage space in which display interface data is stored in an application program.
Optionally, the standard interface query sentence pattern includes: a service requirement phrase, the service requirement phrase comprising: standard verbs and business requirement nouns; and the service requirement phrase is associated with the service handling service provided by the display interface corresponding to the standard interface query sentence pattern.
The business requirement phrase is used to represent the service requirements that a user associates with a business. Illustratively, the business may be a financial business (e.g., fund or stock), a dining business (e.g., take away), an entertainment business (e.g., movie), or a transportation business (e.g., air ticket), etc. The standard verb may refer to a pre-set verb, such as a purchase, an investment, a call (car), or a order (meal), etc. The service requirement noun may refer to a preset noun including a service name, such as a fund, an air ticket, a movie ticket, or the like.
The service requirement phrase is generally used to point to a specific service, and accordingly, the content displayed in the display interface corresponding to the service requirement phrase includes related information such as the name, type, and price of the service. The service requirement phrase is the same as the service provided by the display interface, and the corresponding relation between the service requirement phrase and the display interface providing the service handling function of the service pointed by the service requirement phrase can be constructed in advance, so that the display interface directing to the matched service handling according to the service requirement phrase is realized. Therefore, when the user needs to handle the preset service according to the input of the user, the display interface of the service handling of the preset service can be obtained and displayed to the user.
By way of example, and not limitation, the business requirement phrase may include: "buy fund", "take out", or "check weather", etc.
Illustratively, according to the query information input by the user, the target standard interface query pattern hit by the query information is determined as the purchase fund, so that the display interface is determined as the page for purchasing fund service, skipping is carried out, and the page for providing the service of purchasing fund service is displayed to the user.
By constructing the service requirement phrase as the standard interface query sentence pattern and establishing the corresponding relation between the service requirement phrase and the matched display interface for service handling, the display interface for providing the matched service handling service can be displayed according to the service requirement input by the user, so that the user can quickly jump to the display interface for the service handling service, the jump function of the service page of the application program is increased, and the diversity of the functions of the application program is improved.
In a specific example, fig. 2b to fig. 2c are schematic diagrams of an application scenario in which a query method in an application program queries a display interface according to an embodiment of the present invention, and specifically, as shown in fig. 2b, when a user inputs "buy fund" in a search box, the application program queries that a service requirement phrase corresponding to query information is determined as "buy fund", and jumps to a fund purchase page shown in fig. 2c to provide a fund purchase service to the user, so that the user can purchase a fund through the fund purchase page.
S260, if the query information is the query of the knowledge data in the application program, acquiring at least one item of knowledge data matched with the query information in the application program and displaying the knowledge data.
The embodiment of the invention realizes that the application program inquires the access address of the display interface in the application program according to the inquiry information input by the user by constructing the interface index library and pre-storing the standard interface inquiry sentence pattern and the access address of the display interface, skips to the pointed display interface and displays the display interface to the user, thereby realizing the inquiry of the display interface in the application program, and meanwhile, the standard interface inquiry sentence pattern is constructed as the basis for the inquiry of the display interface, thereby improving the inquiry accuracy of the display interface.
EXAMPLE III
Fig. 3a is a flowchart of an inquiry method in an application program according to a third embodiment of the present invention, which is embodied on the basis of the above embodiments, and is embodied by acquiring at least one item of knowledge data in the application program, which is matched with the inquiry information, to display if the inquiry information is an inquiry of the knowledge data in the application program, and is embodied by: acquiring a segmentation set to be compared matched with the query information; matching the segmented word set to be compared with a knowledge index base, wherein the knowledge index base stores the corresponding relation between a standard knowledge keyword set and the access address of knowledge data; if it is determined that at least one participle in the participle set to be compared hits at least one target standard knowledge keyword set in the knowledge index base, determining the query information as a query of knowledge data in the application program; and acquiring an access address of the knowledge data matched with the target standard knowledge keyword set, and acquiring and displaying the knowledge data matched with the target standard knowledge keyword set according to the access address. The method specifically comprises the following steps:
s310, obtaining the query information in the application program.
The application program, the query information, the query content, the display interface, the knowledge data, and the like in the present embodiment may all refer to the description of the above embodiments.
S320, judging the query content of the query information.
S330, if the query information is the query of the display interface in the application program, acquiring the display interface matched with the query information in the application program for displaying.
And S340, acquiring a to-be-compared word segmentation set matched with the query information.
The to-be-compared participles are used for querying knowledge data, illustratively, the query information comprises at least one keyword, the similarity between the to-be-compared participles and the at least one keyword in the query information exceeds a set threshold, the to-be-compared participles respectively matched with the keywords in the query information are added into a set, and a to-be-compared participle set is formed.
And S350, matching the segmented word set to be compared with a knowledge index library, wherein the knowledge index library stores the corresponding relation between a standard knowledge keyword set and the access address of knowledge data.
The knowledge index base is used for inquiring the access address of the knowledge data. And the to-be-compared participle set is used for inquiring the access address of the knowledge data in the knowledge index database. The standard knowledge keyword set is used for inquiring the access address of the knowledge data in the knowledge index base, can also be used for describing the knowledge data pointed by the access address, can be a preset keyword set, and is stored in the application program in advance.
The access address of the knowledge data is used to point to the knowledge data. Specifically, the access address may be an access address of a storage space in which the knowledge data is stored in the application program.
Optionally, matching the to-be-compared participle set with a knowledge index library, including: matching the segmented word set to be compared with a standard knowledge keyword set matched with the authority level in the knowledge index base according to the authority level of a sender of the query information; wherein the set of standard knowledge keywords in the index repository are matched with at least two permission levels.
The sender of the query message is used to indicate the identity of the application currently logged in, for example, the currently logged-in account, mobile phone number, or the identity of the user (identified by face recognition or identification number). Meanwhile, permission setting is carried out on the standard knowledge keyword set, so that the application program can inquire the knowledge data meeting the permission, the permission is set for the inquiry function of the application program, the inquiry requirements of users in different levels are met, and the safety of the internal information of the application program is improved.
Illustratively, the authority of the standard knowledge keyword set a is level 2, while the authority level of the sender is level 1, and level 1 is less than level 2, so that when the application performs internal query, the to-be-compared participle set can only be matched with the standard knowledge keyword set with the authority level of level 1, and cannot be matched with the standard knowledge keyword set a, and thus, the query result displayed by the application does not include knowledge data pointed by the access address corresponding to the standard knowledge keyword set a, such as college graduate thesis documents.
Optionally, before matching the to-be-compared participle set with a knowledge index library, the method further includes: acquiring at least one item of target knowledge data according to historical release information in the application program; and generating the knowledge index base according to the target knowledge data.
Specifically, the historical publishing information may refer to information stored and disclosed in the application program. Knowledge data in the historical release information can be used as inquired content, access addresses pointing to the knowledge data are correspondingly generated at the same time, and a knowledge index base is established according to the access addresses, so that the knowledge data can be inquired by an application program. In a specific example, the historical publishing information is a document, part or all of text data and picture data in the document can be used as target knowledge data, and meanwhile, a storage address of the document or a storage address of the picture data is used as an access address of the knowledge data. And extracting keywords of the target knowledge data to generate a set, establishing a corresponding relation of the access addresses, and storing the corresponding relation in a knowledge index base so that the application program can inquire the access addresses through the knowledge index base and access the knowledge data.
The knowledge data related to the historical release information is stored, and a knowledge index base associated with the application program is established, so that the application program can be inquired in the knowledge index base, and the inquiry function of the application program is realized.
Optionally, generating the knowledge index base according to the target knowledge data includes: and if the target knowledge data is knowledge data of a set data type, extracting a word processing result corresponding to the target knowledge data by adopting a data processing strategy matched with the data type of the target knowledge data to generate the knowledge index base.
In fact, the target knowledge data may be data other than text data, such as picture data, and such knowledge data may be identified to obtain word processing results for establishing a knowledge index base. Specifically, the knowledge data of the type is knowledge data of a set data type, and the knowledge data of the set data type may include at least one of the following items: picture data, audio data, and video data, etc. Different data types correspond to different data processing strategies, for example, the data processing strategy of the picture data is image identification; the data processing strategy of the audio data is voice recognition; the data processing strategy of the video data is image recognition combined with voice recognition. Specifically, the data processing strategies may all be implemented by respectively corresponding to the pre-trained machine learning model to output the word processing result, and in addition, may also be implemented by other manners, which is not limited in the embodiments of the present invention. Therefore, the knowledge data of the data types can be identified and set by the word processing results, and the knowledge index base is constructed, so that the data volume of the knowledge index base is reduced, and meanwhile, the query efficiency of the knowledge index base can be improved.
Optionally, if the target knowledge data is knowledge data of a set data type, extracting a word processing result corresponding to the target knowledge data by using a data processing policy matched with the data type of the target knowledge data to generate the knowledge index base, where the data processing policy includes at least one of: if the target knowledge data is audio data, acquiring a first word processing result corresponding to the audio data; extracting at least one keyword from the first word processing result to generate a standard knowledge keyword set; adding the corresponding relation between the standard knowledge keyword set and the access address of the audio data into the knowledge index library; if the target knowledge data is picture data, acquiring a second word processing result corresponding to the picture data; extracting at least one keyword from the second word processing result to generate a standard knowledge keyword set; adding the corresponding relation between the standard knowledge keyword set and the access address of the picture data into the knowledge index library; if the target knowledge data is video data, acquiring an image frame set corresponding to the video data and/or audio associated data matched with the video data; obtaining a third word processing result corresponding to each image frame in the image frame set, and/or obtaining a fourth word processing result corresponding to the audio associated data; extracting at least one keyword from the third word processing result and/or the fourth word processing result to generate a standard knowledge keyword set; and adding the corresponding relation between the standard knowledge keyword set and the access address of the video data into the knowledge index library.
The audio data processing mode includes a speech-to-text technology, and specifically includes processes such as speech feature extraction, pre-trained voice recognition model recognition, speech analysis, and the like. The processing of the picture data may include optical character recognition techniques. The video data can be the combination of an audio data processing mode and a picture data processing mode, the video data is separated into picture data and audio data, and corresponding processing is respectively carried out to obtain an identification result.
The method comprises the steps of carrying out voice recognition on audio data, carrying out image recognition on picture data, carrying out voice recognition and/or image recognition on video data, correspondingly extracting keywords according to respectively recognized word processing results to generate a standard knowledge keyword set, establishing a corresponding relation between the generated standard knowledge keyword set and a matched audio data access address, picture data access address and video data access address, adding the standard knowledge keyword set into a knowledge index base, realizing establishment of the knowledge index base, improving the data type coverage rate of the knowledge index base, increasing the diversity of application program query data types, and enriching the query function of the application program.
S360, if it is determined that at least one participle in the participle set to be compared hits at least one target standard knowledge keyword set in the knowledge index base, determining the query information as the query of knowledge data in the application program.
When at least one standard knowledge keyword set is matched with at least one participle in the participle set to be compared in the knowledge index base, determining that the standard knowledge keyword set is a target standard knowledge keyword set, and simultaneously determining that the participle hits the target standard knowledge keyword set in the knowledge index base, namely, the query information is the query of knowledge data.
The matching of the standard knowledge keyword set and the participles in the participle set to be compared can mean that the similarity between the words and the participles in the standard knowledge keyword set exceeds a set threshold, wherein the similarity between the words can be calculated through a pre-trained machine learning model.
Illustratively, the participle is a star a, and correspondingly, the target standard knowledge keyword set is a set comprising keywords as star a.
S370, acquiring an access address of the knowledge data matched with the target standard knowledge keyword set, and acquiring the knowledge data matched with the target standard knowledge keyword set according to the access address to display.
The access address of the knowledge data is used to point to the knowledge data, and specifically, the access address of the knowledge data may be an access address of a storage space in which the knowledge data is stored in the application program.
In a specific example, fig. 3 b-3 c are schematic diagrams of application scenarios of the query method in the application program for querying the knowledge data according to the embodiment of the present invention, specifically, as shown in fig. 3b, when the user inputs "stock search" in the search box, the query result queried by the application program is the knowledge data shown in fig. 3c, and the user can click any one of the search results to browse the corresponding detail data.
Optionally, obtaining at least one item of target knowledge data according to the historical release information in the application program includes: and obtaining user-defined configuration information, screening the historical release information according to the user-defined configuration information, and taking a screening result as the target knowledge data.
The user-defined configuration information is used for screening knowledge data for constructing a knowledge index base. The custom configuration information can be set according to the needs of the user. In fact, the data volume of the historical release information is huge, and the historical release information comprises a large amount of repeated data and redundant data, so that the historical release information can be screened according to preset custom configuration information, the target knowledge data is simplified, and the data processing efficiency is improved.
Specifically, the custom configuration information may include: the data format of the historical release information (e.g., text only and PDF, or multimedia file only, etc.), may also include the historical release information release time (e.g., within a month, or within a year), and may also include the release user of the historical release information, such as: the present embodiment does not limit the information distribution only by the system.
The embodiment of the invention realizes the knowledge data query in the application program by acquiring the participle set to be compared matched with the query information, matching the participle set to be compared with the pre-constructed knowledge index database, acquiring the access address matched with the participle set to be compared, and acquiring and displaying the knowledge data pointed by the access address, thereby improving the coverage rate of the query data type of the application program and increasing the diversity of the query data content of the application program.
Example four
Fig. 4 is a schematic structural diagram of an inquiry apparatus in an application according to a fourth embodiment of the present invention, where as shown in fig. 4, the apparatus specifically includes:
a query information obtaining module 410, configured to obtain query information in an application;
a query content determining module 420, configured to determine query content of the query information;
a display interface display module 430, configured to, if the query information is a query for a display interface in the application program, obtain a display interface in the application program that is matched with the query information, and display the display interface;
a knowledge data display module 440, configured to, if the query information is a query on knowledge data in the application program, obtain at least one item of knowledge data in the application program that is matched with the query information, and display the at least one item of knowledge data.
According to the embodiment of the invention, the query information is acquired in the application program, the query mode is determined according to the query content of the acquired query information, and the queried display interface or knowledge data is displayed, so that the internal query of the application program is realized, the problem that the information in the application program cannot be queried in the prior art is solved, the query function of the application program is increased, the diversity of the application program function is increased, the query efficiency in the application program is improved, the time for a user to hit the actually required content in the application program is shortened, and the use efficiency of the application program is improved.
Further, the display interface display module 430 includes: the display interface query unit is used for matching the query information with an interface index library, and the interface index library stores the corresponding relation between the standard interface query sentence pattern and the access address of the display interface; if the query information hits a target standard interface query sentence pattern in the interface index library, determining the query information as a query of a display interface in the application program; and acquiring an access address of a display interface matched with the target standard interface query sentence pattern, and acquiring the display interface matched with the target standard interface query sentence pattern according to the access address for displaying.
Further, the standard interface query sentence pattern includes: a service requirement phrase, the service requirement phrase comprising: standard verbs and business requirement nouns; and the service requirement phrase is associated with the service handling service provided by the display interface corresponding to the standard interface query sentence pattern.
Further, the knowledge data display module 440 includes: the comparison segmented word set acquisition unit is used for acquiring a comparison segmented word set matched with the query information; the knowledge index base matching unit is used for matching the participle set to be compared with a knowledge index base, and the knowledge index base stores the corresponding relation between a standard knowledge keyword set and an access address of knowledge data; the query information judging unit is used for determining that the query information is a query of knowledge data in the application program if at least one participle in the participle set to be compared is hit in at least one target standard knowledge keyword set in the knowledge index base; and the access address acquisition unit is used for acquiring the access address of the knowledge data matched with the target standard knowledge keyword set, and acquiring the knowledge data matched with the target standard knowledge keyword set according to the access address to display.
Further, the knowledge data display module 440 further includes: the knowledge index base establishing unit is used for acquiring at least one item of target knowledge data according to historical release information in the application program before matching the segmented word set to be compared with a knowledge index base; and generating the knowledge index base according to the target knowledge data.
Further, the knowledge index base establishing unit is specifically configured to: and if the target knowledge data is knowledge data of a set data type, extracting a word processing result corresponding to the target knowledge data by adopting a data processing strategy matched with the data type of the target knowledge data to generate the knowledge index base.
Further, the knowledge index base establishing unit includes at least one of the following: the audio data adding subunit is used for acquiring a first word processing result corresponding to the audio data if the target knowledge data is the audio data; extracting at least one keyword from the first word processing result to generate a standard knowledge keyword set; adding the corresponding relation between the standard knowledge keyword set and the access address of the audio data into the knowledge index library; the picture data adding subunit is used for acquiring a second word processing result corresponding to the picture data if the target knowledge data is the picture data; extracting at least one keyword from the second word processing result to generate a standard knowledge keyword set; adding the corresponding relation between the standard knowledge keyword set and the access address of the picture data into the knowledge index library; the video data adding subunit is used for acquiring an image frame set corresponding to the video data and/or audio associated data matched with the video data if the target knowledge data is the video data; obtaining a third word processing result corresponding to each image frame in the image frame set, and/or obtaining a fourth word processing result corresponding to the audio associated data; extracting at least one keyword from the third word processing result and/or the fourth word processing result to generate a standard knowledge keyword set; and adding the corresponding relation between the standard knowledge keyword set and the access address of the video data into the knowledge index library.
Further, the query content determining module 420 includes any one of: the thread creating unit is used for creating two parallel threads and simultaneously judging whether the query information is the query of a display interface in the application program and whether the query information is the query of knowledge data in the application program; a display interface query prejudging unit, configured to firstly judge whether the query information queries a display interface in the application program, and if the judgment result is negative, continue to judge whether the query information queries knowledge data in the application program; and the knowledge data query prejudging unit is used for firstly judging whether the query information is the query of the knowledge data in the application program, and if not, continuously judging whether the query information is the query of the display interface in the application program.
Further, the knowledge index base establishing unit is specifically configured to: and obtaining user-defined configuration information, screening the historical release information according to the user-defined configuration information, and taking a screening result as the target knowledge data.
Further, the knowledge data display module 440 includes: the query screening and display unit is used for screening the acquired at least one item of knowledge data according to the query screening information and displaying a screening result; and/or sequencing the acquired at least one item of knowledge data according to the sequencing decision information, and displaying a sequencing result.
Further, the knowledge index base matching unit is specifically configured to: matching the segmented word set to be compared with a standard knowledge keyword set matched with the authority level in the knowledge index base according to the authority level of a sender of the query information; wherein the set of standard knowledge keywords in the index repository are matched with at least two permission levels.
Further, the query information obtaining module 410 includes: and the input acquisition unit is used for acquiring voice information and/or text information input by a user as the query information through a search input box in the application program.
Further, the input obtaining unit further includes: the input adjustment subunit is used for performing postamble association and/or input error correction on the real-time information input by the user aiming at the search input box in the process of acquiring the voice information input by the user through the search input box in the application program; and displaying the later-described association result and/or the input error correction result at a display position matched with the search input box.
The query device in the application program can execute the query method in the application program provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executed query method in the application program.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a computer device according to a fifth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary computer device 512 suitable for use in implementing embodiments of the present invention. The computer device 512 shown in FIG. 5 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 5, computer device 512 is in the form of a general purpose computing device. Components of computer device 512 may include, but are not limited to: one or more processors or processing units 516, a system memory 528, and a bus 518 that couples the various system components including the system memory 528 and the processing unit 516. The computer device 512 may be an in-vehicle device.
The system memory 528 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)530 and/or cache memory 532. The computer device 512 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 534 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, and commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read-Only Memory (CD-ROM), Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 518 through one or more data media interfaces. Memory 528 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 540 having a set (at least one) of program modules 542 may be stored, for example, in memory 528, such program modules 542 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 542 generally perform the functions and/or methods of the described embodiments of the invention.
The computer device 512 may also communicate with one or more external devices 514 (e.g., keyboard, pointing device, display 524, etc.), with one or more devices that enable a user to interact with the computer device 512, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 512 to communicate with one or more other computing devices. Such communication may be through an Input/Output (I/O) interface 522. Also, computer device 512 may communicate with one or more networks (e.g., Local Area Network (LAN), Wide Area Network (WAN)) via Network adapter 520. As shown, Network adapter 520 communicates with other modules of computer device 512 via bus 518. it should be understood that although not shown in FIG. 5, other hardware and/or software modules may be used in conjunction with computer device 512, including without limitation, microcode, device drivers, Redundant processing units, external disk drive Arrays, (Redundant Arrays of Inesponsive Disks, RAID) systems, tape drives, data backup storage systems, and the like.
The processing unit 516 executes various functional applications and data processing by running programs stored in the system memory 528, for example, implementing a query method in an application program provided by an embodiment of the present invention.
That is, the processing unit implements, when executing the program: acquiring query information in an application program; judging the query content of the query information; if the query information is the query of the display interface in the application program, acquiring the display interface matched with the query information in the application program for displaying; and if the query information is the query of the knowledge data in the application program, acquiring at least one item of knowledge data matched with the query information in the application program and displaying the knowledge data.
EXAMPLE six
The sixth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the query method in the application program according to the embodiments of the present invention: acquiring query information in an application program; judging the query content of the query information; if the query information is the query of the display interface in the application program, acquiring the display interface matched with the query information in the application program for displaying; and if the query information is the query of the knowledge data in the application program, acquiring at least one item of knowledge data matched with the query information in the application program and displaying the knowledge data.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a RAM, a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable CD-ROM, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a LAN or a WAN, or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (15)
1. A method for querying within an application, comprising:
acquiring query information in an application program;
judging the query content of the query information;
if the query information is the query of the display interface in the application program, acquiring the display interface matched with the query information in the application program for displaying; the query of the display interface corresponds to the query of the business requirement, and the display interface corresponds to the display interface of the business handling service;
if the query information is the query of knowledge data in the application program, acquiring at least one item of knowledge data matched with the query information in the application program and displaying the knowledge data;
the query content of the query information is judged to include any one of the following items:
creating two parallel threads, and simultaneously judging whether the query information is the query of a display interface in the application program and whether the query information is the query of knowledge data in the application program;
firstly, judging whether the query information queries a display interface in the application program, if not, continuously judging whether the query information queries knowledge data in the application program; or
Firstly, judging whether the query information is the query of knowledge data in the application program, if not, continuously judging whether the query information is the query of a display interface in the application program.
2. The method according to claim 1, wherein if the query information is a query for a display interface in the application program, acquiring a display interface in the application program that matches the query information for display, and including:
matching the query information with an interface index library, wherein the interface index library stores the corresponding relation between standard interface query sentence patterns and the access addresses of the display interface;
if the query information hits a target standard interface query sentence pattern in the interface index library, determining the query information as a query of a display interface in the application program;
and acquiring an access address of a display interface matched with the target standard interface query sentence pattern, and acquiring the display interface matched with the target standard interface query sentence pattern according to the access address for displaying.
3. The method of claim 2, wherein the standard interface query schema includes: a service requirement phrase, the service requirement phrase comprising: standard verbs and business requirement nouns;
and the service requirement phrase is associated with the service handling service provided by the display interface corresponding to the standard interface query sentence pattern.
4. The method of claim 1, wherein if the query information is a query for knowledge data in the application program, acquiring at least one item of knowledge data in the application program matching the query information for display comprises:
acquiring a segmentation set to be compared matched with the query information;
matching the segmented word set to be compared with a knowledge index base, wherein the knowledge index base stores the corresponding relation between a standard knowledge keyword set and the access address of knowledge data;
if it is determined that at least one participle in the participle set to be compared hits at least one target standard knowledge keyword set in the knowledge index base, determining the query information as a query of knowledge data in the application program;
and acquiring an access address of the knowledge data matched with the target standard knowledge keyword set, and acquiring and displaying the knowledge data matched with the target standard knowledge keyword set according to the access address.
5. The method according to claim 4, further comprising, before matching the set of to-be-compared participles with a knowledge index base:
acquiring at least one item of target knowledge data according to historical release information in the application program;
and generating the knowledge index base according to the target knowledge data.
6. The method of claim 5, wherein the generating the knowledge index base according to the target knowledge data comprises:
and if the target knowledge data is knowledge data of a set data type, extracting a word processing result corresponding to the target knowledge data by adopting a data processing strategy matched with the data type of the target knowledge data to generate the knowledge index base.
7. The method of claim 6, wherein if the target knowledge data is knowledge data of a set data type, the extracting word processing results corresponding to the target knowledge data to generate the knowledge index base by using a data processing strategy matched with the data type of the target knowledge data comprises at least one of:
if the target knowledge data is audio data, acquiring a first word processing result corresponding to the audio data; extracting at least one keyword from the first word processing result to generate a standard knowledge keyword set; adding the corresponding relation between the standard knowledge keyword set and the access address of the audio data into the knowledge index library;
if the target knowledge data is picture data, acquiring a second word processing result corresponding to the picture data; extracting at least one keyword from the second word processing result to generate a standard knowledge keyword set; adding the corresponding relation between the standard knowledge keyword set and the access address of the picture data into the knowledge index library; and the number of the first and second groups,
if the target knowledge data is video data, acquiring an image frame set corresponding to the video data and/or audio associated data matched with the video data; obtaining a third word processing result corresponding to each image frame in the image frame set, and/or obtaining a fourth word processing result corresponding to the audio associated data; extracting at least one keyword from the third word processing result and/or the fourth word processing result to generate a standard knowledge keyword set; and adding the corresponding relation between the standard knowledge keyword set and the access address of the video data into the knowledge index library.
8. The method of claim 5, wherein obtaining at least one item of target knowledge data based on historical published information within the application comprises:
and obtaining user-defined configuration information, screening the historical release information according to the user-defined configuration information, and taking a screening result as the target knowledge data.
9. The method according to any one of claims 1-8, wherein the obtaining for display at least one item of knowledge data within the application that matches the query information comprises:
screening the acquired at least one item of knowledge data according to the query screening information, and displaying a screening result; and/or
And sequencing the acquired at least one item of knowledge data according to the sequencing decision information, and displaying a sequencing result.
10. The method of claim 4, wherein matching the set of to-be-compared participles with a knowledge index base comprises:
matching the segmented word set to be compared with a standard knowledge keyword set matched with the authority level in the knowledge index base according to the authority level of a sender of the query information;
wherein the set of standard knowledge keywords in the index repository are matched with at least two permission levels.
11. The method according to any one of claims 1-8, wherein obtaining query information within an application comprises:
and acquiring voice information and/or text information input by a user through a search input box in the application program to serve as the query information.
12. The method according to claim 11, wherein in the process of obtaining the voice information input by the user through the search input box in the application program, the method further comprises:
performing postamble association and/or input error correction on real-time information input by a user aiming at the search input box;
and displaying the later-described association result and/or the input error correction result at a display position matched with the search input box.
13. An apparatus for querying within an application, comprising:
the query information acquisition module is used for acquiring query information in the application program;
the query content judging module is used for judging the query content of the query information;
the display interface display module is used for acquiring a display interface matched with the query information in the application program to display if the query information is the query of the display interface in the application program; the query of the display interface corresponds to the query of the business requirement, and the display interface corresponds to the display interface of the business handling service;
the knowledge data display module is used for acquiring at least one item of knowledge data matched with the query information in the application program for display if the query information is the query of the knowledge data in the application program;
the query content judging module judges the query content of the query information, and the query content comprises any one of the following items:
creating two parallel threads, and simultaneously judging whether the query information is the query of a display interface in the application program and whether the query information is the query of knowledge data in the application program;
firstly, judging whether the query information queries a display interface in the application program, if not, continuously judging whether the query information queries knowledge data in the application program; or
Firstly, judging whether the query information is the query of knowledge data in the application program, if not, continuously judging whether the query information is the query of a display interface in the application program.
14. A computer device, characterized in that the computer device comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a query method within an application as claimed in any one of claims 1-12.
15. A storage medium on which a computer program is stored which, when being executed by a processor, carries out a method of querying within an application program as claimed in any one of claims 1 to 12.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910295124.XA CN109960752B (en) | 2019-04-12 | 2019-04-12 | Query method and device in application program, computer equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910295124.XA CN109960752B (en) | 2019-04-12 | 2019-04-12 | Query method and device in application program, computer equipment and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109960752A CN109960752A (en) | 2019-07-02 |
CN109960752B true CN109960752B (en) | 2021-08-13 |
Family
ID=67026112
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910295124.XA Active CN109960752B (en) | 2019-04-12 | 2019-04-12 | Query method and device in application program, computer equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109960752B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111400457A (en) * | 2020-04-15 | 2020-07-10 | Oppo广东移动通信有限公司 | Text query method and device and terminal equipment |
CN113064918B (en) * | 2021-03-24 | 2024-03-12 | 北京金堤征信服务有限公司 | Enterprise data query method and device, electronic equipment and storage medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016013915A1 (en) * | 2014-07-25 | 2016-01-28 | 오드컨셉 주식회사 | Method, apparatus and computer program for displaying search information |
CN105653572A (en) * | 2015-08-20 | 2016-06-08 | 乐视网信息技术(北京)股份有限公司 | Resource processing method and apparatus |
CN107329744A (en) * | 2017-06-14 | 2017-11-07 | 北京小米移动软件有限公司 | The functional module of application program starts method and device |
CN108549569A (en) * | 2018-04-26 | 2018-09-18 | 上海掌门科技有限公司 | The method and apparatus of information in a kind of search for application |
CN108959520A (en) * | 2018-06-28 | 2018-12-07 | 百度在线网络技术(北京)有限公司 | Searching method, device, equipment and storage medium based on artificial intelligence |
CN109284423A (en) * | 2018-09-05 | 2019-01-29 | 中国银行股份有限公司 | Business option card lookup method and device |
WO2019049089A1 (en) * | 2017-09-11 | 2019-03-14 | Indian Institute Of Technology, Delhi | Method, system and apparatus for multilingual and multimodal keyword search in a mixlingual speech corpus |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140379747A1 (en) * | 2013-06-19 | 2014-12-25 | Microsoft Corporation | Identifying relevant apps in response to queries |
CN106708817B (en) * | 2015-07-17 | 2020-11-06 | 腾讯科技(深圳)有限公司 | Information searching method and device |
US10120949B2 (en) * | 2015-10-29 | 2018-11-06 | Google Llc | Indexing native application data |
CN105760522A (en) * | 2016-02-29 | 2016-07-13 | 网易(杭州)网络有限公司 | Information search method and device based on application program |
WO2018222511A2 (en) * | 2017-06-02 | 2018-12-06 | Apple Inc. | Venues map application and system providing a venue directory |
CN108595454B (en) * | 2017-12-21 | 2022-05-13 | 努比亚技术有限公司 | Cross-application search recommendation method, terminal and computer-readable storage medium |
CN108595642A (en) * | 2018-04-26 | 2018-09-28 | 上海掌门科技有限公司 | The method and apparatus of information in a kind of search for application |
CN109165292A (en) * | 2018-07-23 | 2019-01-08 | Oppo广东移动通信有限公司 | Data processing method, device and mobile terminal |
CN109308338B (en) * | 2018-08-09 | 2021-06-18 | 上海连尚网络科技有限公司 | Method and equipment for searching and displaying information in application program |
CN109376289B (en) * | 2018-10-17 | 2020-06-30 | 北京云测信息技术有限公司 | Method and device for determining target application ranking in application search result |
-
2019
- 2019-04-12 CN CN201910295124.XA patent/CN109960752B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016013915A1 (en) * | 2014-07-25 | 2016-01-28 | 오드컨셉 주식회사 | Method, apparatus and computer program for displaying search information |
CN105653572A (en) * | 2015-08-20 | 2016-06-08 | 乐视网信息技术(北京)股份有限公司 | Resource processing method and apparatus |
CN107329744A (en) * | 2017-06-14 | 2017-11-07 | 北京小米移动软件有限公司 | The functional module of application program starts method and device |
WO2019049089A1 (en) * | 2017-09-11 | 2019-03-14 | Indian Institute Of Technology, Delhi | Method, system and apparatus for multilingual and multimodal keyword search in a mixlingual speech corpus |
CN108549569A (en) * | 2018-04-26 | 2018-09-18 | 上海掌门科技有限公司 | The method and apparatus of information in a kind of search for application |
CN108959520A (en) * | 2018-06-28 | 2018-12-07 | 百度在线网络技术(北京)有限公司 | Searching method, device, equipment and storage medium based on artificial intelligence |
CN109284423A (en) * | 2018-09-05 | 2019-01-29 | 中国银行股份有限公司 | Business option card lookup method and device |
Also Published As
Publication number | Publication date |
---|---|
CN109960752A (en) | 2019-07-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108829893B (en) | Method and device for determining video label, storage medium and terminal equipment | |
CN106897428B (en) | Text classification feature extraction method and text classification method and device | |
CN107992596B (en) | Text clustering method, text clustering device, server and storage medium | |
CN110929125B (en) | Search recall method, device, equipment and storage medium thereof | |
CN107590172B (en) | Core content mining method and device for large-scale voice data | |
CN109241319B (en) | Picture retrieval method, device, server and storage medium | |
CN111383631A (en) | Voice interaction method, device and system | |
CN107948730B (en) | Method, device and equipment for generating video based on picture and storage medium | |
CN108549723B (en) | Text concept classification method and device and server | |
CN109947924B (en) | Dialogue system training data construction method and device, electronic equipment and storage medium | |
CN107861948B (en) | Label extraction method, device, equipment and medium | |
CN103714104A (en) | Answering questions using environmental context | |
CN110909120A (en) | Resume searching/delivering method, device and system and electronic equipment | |
CN111401044A (en) | Title generation method and device, terminal equipment and storage medium | |
US20220058214A1 (en) | Document information extraction method, storage medium and terminal | |
CN109960752B (en) | Query method and device in application program, computer equipment and storage medium | |
CN111782793A (en) | Intelligent customer service processing method, system and equipment | |
CN110909768A (en) | Method and device for acquiring marked data | |
KR102575507B1 (en) | Article writing soulution using artificial intelligence and device using the same | |
CN107845384A (en) | A kind of audio recognition method | |
CN110020429A (en) | Method for recognizing semantics and equipment | |
CN118035487A (en) | Video index generation and retrieval method and device, electronic equipment and storage medium | |
CN110895587A (en) | Method and device for determining target user | |
CN111625619B (en) | Query omission method, device, computer readable medium and electronic equipment | |
CN110717029A (en) | Information processing method and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |