CN116415560A

CN116415560A - Information input method and device

Info

Publication number: CN116415560A
Application number: CN202310253675.6A
Authority: CN
Inventors: 李智耀; 王勇
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2023-03-16
Filing date: 2023-03-16
Publication date: 2023-07-11

Abstract

The invention discloses an information input method and device, and relates to the technical field of computers. One specific implementation mode of the method comprises the steps of receiving an information input command, acquiring information requirements, analyzing to obtain a plurality of input item identifiers, and matching to obtain corresponding input templates; for each entry identification: screening a plurality of corresponding historical data in a data pool, and determining the credibility of each historical data to select and obtain predicted data; determining the category of each piece of predicted data based on a preset credibility threshold value, determining the corresponding enhanced display mode of each piece of predicted data based on a preset typesetting rule, and respectively carrying out enhanced display on each piece of predicted data in the input template to obtain a target template; and loading a target template in the front-end page so as to modify or confirm corresponding predicted data by collecting interactive data of a user to obtain information to be input. Therefore, the embodiment of the invention can solve the technical problem of low efficiency of the existing information input mode.

Description

Information input method and device

Technical Field

The present invention relates to the field of computer technologies, and in particular, to an information input method and apparatus.

Background

At present, the application range of the information input processing is very wide, and the method provides a convenient and quick online information collection service and a digital information uploading service for users, and can greatly save the time cost of the users in application scenes of reporting service data, initiating service requests and the like.

In the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art:

when enjoying convenient on-line information filling function, the problem of low information input efficiency is ubiquitous, because the information collection mode commonly adopted in the prior art is as follows: and inputting information to the input boxes arranged in front, and dragging the scroll bar to position the cursor to the next input box until the information input to all the input boxes is completed. Therefore, when information is recorded, a user needs to manually switch the cursor for a plurality of times, so that the information recording efficiency is low, the information recording experience is poor, and the operation difficulty is high for the elderly user. In addition, the existing information input technology does not effectively perform data precipitation on the acquired information, so that each user needs to input the same basic information for many times, and the information input efficiency is further reduced.

Disclosure of Invention

In view of the above, the embodiment of the invention provides an information input method and device, which can solve the technical problem of low efficiency of the existing information input mode.

In order to achieve the above object, according to an aspect of the embodiments of the present invention, there is provided an information input method, including receiving an information input instruction, obtaining an information requirement, parsing to obtain a plurality of input item identifiers, and matching to obtain a corresponding information input template; for each entry identification: screening a plurality of corresponding historical data from the data pool, reading the data source of each historical data, comparing and calculating with the information demand to obtain corresponding credibility, and selecting the historical data with highest credibility as prediction data; determining a category corresponding to each piece of predicted data based on a preset credibility threshold value, and determining an enhanced display mode corresponding to each piece of predicted data based on a preset typesetting rule so as to respectively enhance and display each piece of predicted data in the information entry template to obtain a target template; and loading a target template in the front-end page so as to modify or confirm corresponding predicted data by collecting interactive data of a user to obtain information to be input.

Optionally, comparing the information requirement with the information requirement to obtain a corresponding reliability, including:

analyzing to obtain corresponding user identifiers according to information requirements, and judging whether a data source comprising the user identifiers exists or not;

if yes, determining that the reliability of the corresponding historical data is a preset maximum value;

if not, historical data with the occurrence frequency larger than a preset frequency threshold value is selected, and the corresponding reliability is determined to be a preset secondary maximum value.

Optionally, the method comprises:

and determining that the credibility threshold is larger than the next largest value and smaller than the maximum value.

Optionally, after the matching obtains the corresponding information input template, the method includes:

for each drop down box in the information entry template: and calculating the number of packaged options, and generating a single selection frame corresponding to each option to obtain a plurality of single selection frames to replace the drop-down frame in response to the fact that the number is smaller than a preset single selection threshold.

Optionally, the information entry template performs enhanced display on each piece of prediction data, including:

determining a corresponding entry frame of each piece of predicted data in the information entry template according to the entry item identifier corresponding to each piece of predicted data;

reading each piece of prediction data with the credibility larger than the credibility threshold value, and loading the prediction data into a corresponding input frame;

And reading each piece of prediction data with the credibility smaller than the credibility threshold, generating a corresponding single selection frame in response to determining that the corresponding single selection frame does not exist in the information entry template, and placing the corresponding single selection frame at the position nearby the corresponding entry frame.

Optionally, loading the target template in the front-end page includes:

selecting an input frame with loading content in a target template as a target input frame, and performing combined typesetting on all the target input frames to load the target input frames into the same front-end page;

selecting other input frames in the target template as non-target input frames, so as to load each non-target input frame into different front-end pages respectively;

and loading the target template to obtain a plurality of front-end pages, and switching the input frame cursor through the switching of the front-end pages.

Optionally, editing or confirming the corresponding prediction data by collecting interaction data of the user includes:

and responding to the collected interaction data as voice data, invoking a word segmentation program to perform word segmentation on the voice data, and editing or confirming corresponding prediction data according to a word segmentation processing result.

Optionally, after obtaining the information to be entered, the method includes:

And establishing the association between the information to be input and the corresponding user identification, and storing the association in a data pool.

In addition, the invention also provides an information input device, which comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for receiving an information input command, acquiring information requirements, analyzing and obtaining a plurality of input item identifiers, and matching and obtaining corresponding information input templates; typesetting module, which is used to identify each entry: screening a plurality of corresponding historical data from the data pool, reading the data source of each historical data, comparing and calculating with the information demand to obtain corresponding credibility, and selecting the historical data with highest credibility as prediction data; the method is also used for determining the category corresponding to each piece of predicted data based on a preset credibility threshold value, and determining the enhanced display mode corresponding to each piece of predicted data based on a preset typesetting rule so as to respectively enhance and display each piece of predicted data in the information input template to obtain a target template; and the interaction module is used for loading the target template in the front-end page so as to edit or confirm the corresponding predicted data by collecting interaction data of the user and obtain information to be input.

One embodiment of the above invention has the following advantages or benefits: the invention realizes the process of automatically identifying the included information entry identifiers by receiving and analyzing the information entry instructions, and determines the matched information entry templates based on the information entry identifiers, thereby laying a cushion for the subsequent information entry processing; in addition, the historical data corresponding to each entry identifier is obtained through screening in the data pool, and the credibility rating is carried out on each historical data, so that the corresponding predicted data is obtained through selection, the effect of preliminary predicting the entry content before interaction with the user can be achieved, the limitation that the historical data are not integrated and utilized in the prior art is broken through, the user does not need to input all information, only the predicted content is edited, and the information entry efficiency is effectively improved; meanwhile, the invention carries out enhancement display processing with different degrees on the predicted data with different credibility levels in the input template, so that the number of times of deleting the erroneous predicted data by a user can be effectively reduced, and the user experience is further improved; in addition, the input template is loaded in the front-end page, so that corresponding prediction data is modified or confirmed by collecting interactive data of a user, information to be input is obtained, and the accuracy of the collected data to be input can be ensured.

Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.

Drawings

The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:

FIG. 1 is a schematic diagram of the main flow of an information entry method according to a first embodiment of the present invention;

FIG. 2 is a schematic diagram of the main flow of an information entry method according to a second embodiment of the present invention;

FIG. 3 is a schematic diagram of the main flow of an information entry method according to a third embodiment of the present invention;

FIG. 4 is a schematic diagram of the major modules of an information entry device according to an embodiment of the present invention;

FIG. 5 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;

fig. 6 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness. The data acquisition, storage, use, processing and the like in the technical scheme meet the relevant regulations of national laws and regulations.

Fig. 1 is a schematic diagram of the main flow of an information input method according to a first embodiment of the present invention, as shown in fig. 1, the information input method includes:

step S101, receiving an information input command, acquiring information requirements, analyzing to obtain a plurality of input item identifiers, and matching to obtain corresponding information input templates.

In an embodiment, obtaining information requirements, analyzing and obtaining a plurality of entry identifiers to obtain an information catalogue to be input, and obtaining an information input template comprising the information catalogue to be input based on the matching; in some embodiments, the information entry order may also include a specified information entry template; in other embodiments, after matching the corresponding information entry templates, a corresponding preprocessing may be performed, such as pruning portions that do not match the entry information catalog. The invention aims to establish an intermediate layer between a user and an information collection system, thereby helping the user to avoid complex and numerous information input or selection conditions to the greatest extent so as to quickly and accurately complete information collection; therefore, the information input template obtained through the processing of the step is only the prototype of the final effect presented by the invention, and lays a foundation for further adjustment and optimization of the information input template.

In some embodiments, in order to improve the input efficiency of the information input template, the clicking operations of the user are reduced as much as possible, and after the corresponding information input template is obtained by matching, each drop-down frame in the information input template may be: and calculating the number of packaged options, and generating a single selection frame corresponding to each option to obtain a plurality of single selection frames to replace the drop-down frame in response to the fact that the number is smaller than a preset single selection threshold. Through the processing of the step, the effect of improving the information input efficiency can be achieved. In actual operation, as is known, the single selection frame has higher input efficiency than the drop-down frame, and the drop-down frame only needs to be clicked once and twice to finally obtain the required information, so that the input frame with fewer choices, such as a man and a woman, is designed into the single selection frame, and the information is directly displayed completely, so that higher input efficiency is obtained.

Step S102, for each entry, identifying: and screening a plurality of corresponding historical data in the data pool, reading the data source of each historical data, comparing and calculating with the information demand to obtain corresponding credibility, and selecting the historical data with the highest credibility as prediction data.

In an embodiment, the data pool may be provided by an initial information entry order, or may be data depositions from an information entry system of the present invention. In a further embodiment, each historical data in the data pool has a corresponding plurality of data identifications including, but not limited to: entry identification, information requirement identification, user identification, and the like. The entry identifier is a corresponding information directory, for example: the data "female" corresponds to the information directory "gender"; the input command identifier is synchronously acquired when receiving the information input command, and can comprise corresponding service field information, such as insurance industry; the user identification is the identification corresponding to each information input object. In summary, the data source of the historical data is determined, that is, whether the historical data has the same entry identifier, information requirement identifier or user identifier as the data to be entered is determined, and the corresponding credibility is calculated based on whether the historical data has the same identifier and the type of the same identifier. In a further embodiment, the reliability of the historical data with the same user identifier is greater than the reliability of the historical data with the same information requirement identifier, and the reliability of the historical data with the same information requirement identifier is greater than the reliability of the historical data with the same entry identifier, for example, when the present year policy information is entered, the information entry system of the invention queries that the client name is Zhang three and the address is the first cell second building in the policy information entered by the client in the last year through the relevant interface, so that the client name and the address are used as corresponding prediction data. Through the processing of the step, the limitation that the history data cannot be reasonably utilized in the existing information input method is broken through.

In some embodiments, in order to filter out the most closely related historical data as the prediction data for each user, the user dimension may be included in the consideration range of the confidence calculation, which specifically includes: analyzing to obtain corresponding user identifiers according to information requirements, and judging whether a data source comprising the user identifiers exists or not; if yes, determining that the reliability of the corresponding historical data is a preset maximum value; if not, historical data with the occurrence frequency larger than a preset frequency threshold value is selected, and the corresponding reliability is determined to be a preset secondary maximum value. Through the processing of the step, under the condition of lacking the historical data corresponding to the user identification, the corresponding information to be input can be predicted more accurately, for example: according to the information input system, the input nationality is detected to be a country through data statistics, and the country is set as a predicted value of the nationality.

Step S103, determining the category corresponding to each piece of predicted data based on a preset credibility threshold value, and determining the enhanced display mode corresponding to each piece of predicted data based on a preset typesetting rule so as to respectively enhance and display each piece of predicted data in the information entry template to obtain a target template.

In an embodiment, to uniformly rank different confidence values, it may be determined that the confidence threshold is greater than the next-largest value and less than the maximum value. Through the operation of the step, whether the predicted data are sourced from the corresponding user identification can be distinguished, and the effect of carrying out information editing reminding of different degrees on the user is achieved through different enhancement display modes, so that the error rate of information input is reduced as much as possible while the information input efficiency is improved.

In some embodiments, in order to distinguish prediction data with different credibility, when each prediction data is respectively enhanced and displayed in the information entry template, determining an entry frame corresponding to each prediction data in the information entry template according to an entry item identifier corresponding to each prediction data; reading each piece of prediction data with the credibility larger than the credibility threshold value, and loading the prediction data into a corresponding input frame; and reading each piece of prediction data with the credibility smaller than the credibility threshold, generating a corresponding single selection frame in response to determining that the corresponding single selection frame does not exist in the information entry template, and placing the corresponding single selection frame at the position nearby the corresponding entry frame. Through the processing of the step, because the possibility and the range of editing by a user of the predicted data with higher reliability are very small, the corresponding predicted data is directly edited into the information input frame, so that the information input efficiency is further improved; the other party is full, and the possibility of editing and modifying the user corresponding to the data with low reliability are considered to be large, so that excessive time spent by the user when deleting the part of predicted data is avoided, the corresponding predicted data is displayed in the form of a single selection frame, and the user can input again only by canceling the single selection, thereby further enhancing the user experience.

In a further embodiment, the rearrangement of the corresponding information entry templates may also be performed according to the information entry format corresponding to the prediction data. By way of example, the input item identifier "nationality" has many corresponding options, so that the original drop-down frame format cannot be deleted as a whole, but the system detects that only five options in nationality, such as China, india, america and the like are frequently used, and then a client can click one of the options in a single selection frame mode to be used as the input item preferentially, and only rarely does not meet the conditions, and then the drop-down frame is unfolded to enable the client to select from massive information.

Step S104, loading a target template in the front-end page so as to modify or confirm corresponding predicted data by collecting interactive data of a user and obtain information to be input.

In some embodiments, in order to simplify the checking flow of the user on the predicted data, when the target template is loaded in the front-end page, the input frames with loading contents in the target template are selected as target input frames, and all the target input frames are combined and typeset to be loaded in the same front-end page; selecting other input frames in the target template as non-target input frames, so as to load each non-target input frame into different front-end pages respectively; and loading the target template to obtain a plurality of front-end pages, and switching the input frame cursor through the switching of the front-end pages. Through the processing of the step, a plurality of prediction data with higher reliability are typeset into an information input page, so that a user can confirm the information of the prediction data at the same time, and time is saved; and typesetting each prediction data with low credibility into an independent information input page so as to improve the accuracy and experience of a customer when editing the information.

In some embodiments, in order to improve efficiency of the process of distinguishing the collected voice data, when the corresponding predicted data can be edited or confirmed by collecting the interaction data of the user, in response to determining that the collected interaction data is the voice data, a word segmentation program is invoked to perform word segmentation on the voice data, and the corresponding predicted data is edited or confirmed according to a word segmentation result. For example, the information input system of the invention can tell the customer directly through an interaction message when collecting information, which is similar to: "please enter your basic customer information including name, gender, nationality, phone, identification card information and address information". The client can input relevant information at one time, and the information input system of the invention performs word segmentation and other processes after collecting the client information, so as to quickly prefill the information into each information collecting frame. In a further embodiment, the word segmentation process may be performed by presetting a range of input values corresponding to each information input module, so as to perform matching determination with the customer interaction data.

In some embodiments, in order to expand the data pool of the information input method of the present invention in real time, after obtaining the information to be input, an association between the information to be input and the corresponding user identifier may be established and stored in the data pool. The data precipitation operation is completed through the processing of the step, so that a data pool with more abundant data resources is constructed, and more accurate predicted data can be obtained in the subsequent information collecting processing.

Fig. 2 is a schematic diagram of the main flow of an information entry method according to a second embodiment of the present invention, the information entry method including:

step S201, an information input order is received, information requirements are acquired, a plurality of input item identifiers are obtained through analysis, and corresponding information input templates are obtained through matching.

Step S202, replacing part of the drop-down boxes in the information input template with a plurality of corresponding single boxes.

Preferably, for each drop down box in the information entry template: and calculating the number of packaged options, and generating a single selection frame corresponding to each option to obtain a plurality of single selection frames to replace the drop-down frame in response to the fact that the number is smaller than a preset single selection threshold.

Step S203, according to the information requirement, analyzing to obtain the corresponding user identification.

And step S204, screening a plurality of historical data corresponding to each entry identifier from the data pool.

Step S205, the data source of each history data is read, and whether the user identifier is included is determined, if yes, step S206 is executed, and if not, step S207 is executed.

Step S206, determining that the reliability of the corresponding historical data is a preset maximum value.

Step S207, selecting historical data with occurrence frequency larger than a preset frequency threshold value, and determining that the corresponding reliability is a preset next-largest value.

Step S208, selecting the historical data with highest credibility as prediction data, and obtaining the prediction data corresponding to each entry identifier.

Step S209, determining a category corresponding to each prediction data based on a preset credibility threshold.

Step S210, based on preset typesetting rules, determining an enhanced display mode corresponding to each type of predicted data so as to obtain a target template.

Step S211, loading a target template in the front-end page, and collecting interaction data of a user.

Step S212, judging whether each interactive data is voice data, if so, executing step S213, and if not, executing step S214.

Step S213, a word segmentation program is called to perform word segmentation processing on the voice data, and corresponding prediction data is edited or confirmed according to the word segmentation processing result.

Step S214, obtaining information to be input.

Step S215, establishing the association between the information to be input and the corresponding user identification, and storing the association in a data pool.

Fig. 3 is a schematic diagram of the main flow of an information entry method according to a third embodiment of the present invention, the information entry method including:

step S301, an information input order is received, information requirements are acquired, a plurality of input item identifiers are obtained through analysis, and corresponding information input templates are obtained through matching.

Step S302, replacing part of the drop-down boxes in the information input template with a plurality of corresponding single boxes.

Step S303, analyzing to obtain the corresponding user identification according to the information requirement.

And step S304, screening the data pool to obtain a plurality of historical data corresponding to each entry identifier.

Step S305, the data source of each history data is read, and whether the user identifier is included is determined, if yes, step S306 is executed, and if not, step S307 is executed.

Step S306, determining that the reliability of the corresponding historical data is a preset maximum value.

Step S307, historical data with occurrence frequency larger than a preset frequency threshold is selected, and corresponding credibility is determined to be a preset next-largest value.

Step S308, selecting the historical data with highest credibility as prediction data, and obtaining the prediction data corresponding to each entry identifier.

Step S309, classifying all the prediction data into high-confidence prediction data or low-confidence prediction data based on the preset confidence threshold.

Preferably, the confidence threshold is greater than the next-largest value and less than the largest value.

Step S310, determining a corresponding entry frame of each piece of prediction data in the information entry template according to the entry item identifier corresponding to each piece of prediction data.

And step S311, loading the high-reliability prediction data into the corresponding input frame.

Step S312, generating a single selection frame corresponding to the low-confidence prediction data, and placing the single selection frame in the vicinity of the corresponding input frame.

Preferably, in response to determining that the corresponding radio frame does not exist in the information entry template, the corresponding radio frame is generated.

Step S313, obtaining a target template.

Step S314, selecting an input frame with loading content in the target template as a target input frame, and carrying out combined typesetting on all the target input frames so as to load the target input frames into the same front-end page.

Step S315, selecting other input frames in the target template as non-target input frames, so as to load each non-target input frame into different front-end pages respectively.

Preferably, a plurality of front-end pages are loaded according to the target template, and the input frame cursor is switched through the switching of the front-end pages.

Step S316, the front-end page is displayed to the user, interactive data of the user are collected, and corresponding predicted data are edited or confirmed.

Step S317, obtaining information to be input.

Fig. 4 is a schematic diagram of main modules of an information input device according to an embodiment of the present invention, and as shown in fig. 4, the information input device 400 includes an acquisition module 401, a typesetting module 402, and an interaction module 403. The acquiring module 401 responds to a target page opening instruction to acquire a target object in a current page; the typesetting module 402 loads preset watermark display content to the area where the target object is located; the interaction module 403 monitors a current page keyboard pop-up event, and the typesetting module 402 searches a new added view in the current view list based on the root view so as to load preset watermark display content into a corresponding area of the new added view; and the interaction module 403 monitors the current page keyboard stowing event, and the typesetting module 402 cancels the watermark display content on the area corresponding to the newly added view.

In some embodiments, the composition module 402 is further configured to: when comparing and calculating with the information demand to obtain corresponding credibility, analyzing to obtain corresponding user identification according to the information demand, and judging whether a data source comprising the user identification exists or not; if yes, determining that the reliability of the corresponding historical data is a preset maximum value; if not, historical data with the occurrence frequency larger than a preset frequency threshold value is selected, and the corresponding reliability is determined to be a preset secondary maximum value.

In some embodiments, the composition module 402 is further configured to: and determining that the credibility threshold is larger than the next largest value and smaller than the maximum value.

In some embodiments, the composition module 402 is further configured to: after matching to obtain a corresponding information entry template, each drop-down frame in the information entry template is: and calculating the number of packaged options, and generating a single selection frame corresponding to each option to obtain a plurality of single selection frames to replace the drop-down frame in response to the fact that the number is smaller than a preset single selection threshold.

In some embodiments, the composition module 402 is further configured to: when each piece of predicted data is respectively enhanced and displayed in the information input template, determining a corresponding input frame of each piece of predicted data in the information input template according to an input item identifier corresponding to each piece of predicted data; reading each piece of prediction data with the credibility larger than the credibility threshold value, and loading the prediction data into a corresponding input frame; and reading each piece of prediction data with the credibility smaller than the credibility threshold, generating a corresponding single selection frame in response to determining that the corresponding single selection frame does not exist in the information entry template, and placing the corresponding single selection frame at the position nearby the corresponding entry frame.

In some embodiments, the interaction module 403 is further configured to: when loading a target template in a front-end page, selecting an input frame with loading content in the target template as a target input frame, and carrying out combined typesetting on all the target input frames so as to load the target input frames into the same front-end page; selecting other input frames in the target template as non-target input frames, so as to load each non-target input frame into different front-end pages respectively; and loading the target template to obtain a plurality of front-end pages, and switching the input frame cursor through the switching of the front-end pages.

In some embodiments, the interaction module 403 is further configured to: when corresponding prediction data is edited or confirmed by collecting interaction data of a user, responding to the fact that the collected interaction data is voice data, invoking a word segmentation program to conduct word segmentation processing on the voice data, and editing or confirming the corresponding prediction data according to a word segmentation processing result.

In some embodiments, the interaction module 403 is further configured to: after the information to be recorded is obtained, the association between the information to be recorded and the corresponding user identification is established and stored in the data pool.

In the information input method and the information input device of the present invention, the specific implementation content has a corresponding relationship, so the repeated content will not be described.

Fig. 5 shows an exemplary system architecture 500 to which the information entry method or information entry apparatus of embodiments of the present invention may be applied.

As shown in fig. 5, the system architecture 500 may include

terminal devices

501, 502, 503, a network 504, and a server 505. The network 504 is used as a medium to provide communication links between the

terminal devices

501, 502, 503 and the server 505. The network 504 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

A user may interact with the server 505 via the network 504 using the

terminal devices

501, 502, 503 to receive or send messages or the like. Various communication client applications can be installed on the

terminal devices

501, 502, 503.

The

terminal devices

501, 502, 503 may be various electronic devices having a page display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 505 may be a server providing various services, such as a background management server (by way of example only) providing support for users with the

terminal devices

501, 502, 503. The background management server may analyze and process the received data such as the product information query request, and feedback the processing result (e.g., the target push information, the product information—only an example) to the terminal device.

It should be noted that, the information input method provided by the embodiment of the present invention is generally executed by the server 505, and accordingly, the computing device is generally disposed in the server 505.

It should be understood that the number of terminal devices, networks and servers in fig. 5 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to FIG. 6, there is illustrated a schematic diagram of a computer system 600 suitable for use in implementing an embodiment of the present invention. The terminal device shown in fig. 6 is only an example, and should not impose any limitation on the functions and the scope of use of the embodiment of the present invention.

As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU) 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data required for the operation of the computer system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a liquid crystal page display processor (LCD), and the like, and a speaker, and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to the I/O interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on drive 610 so that a computer program read therefrom is installed as needed into storage section 608.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 601.

The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (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. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. 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 of the foregoing. 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, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: the processor comprises an acquisition module, a typesetting module and an interaction module. The names of these modules do not constitute a limitation on the module itself in some cases.

As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs, and when the one or more programs are executed by the equipment, the equipment comprises a receiving information input instruction, an information requirement is acquired, a plurality of input item identifiers are obtained through analysis, and corresponding information input templates are obtained through matching; for each entry identification: screening a plurality of corresponding historical data from the data pool, reading the data source of each historical data, comparing and calculating with the information demand to obtain corresponding credibility, and selecting the historical data with highest credibility as prediction data; determining a category corresponding to each piece of predicted data based on a preset credibility threshold value, and determining an enhanced display mode corresponding to each piece of predicted data based on a preset typesetting rule so as to respectively enhance and display each piece of predicted data in the information entry template to obtain a target template; and loading a target template in the front-end page so as to modify or confirm corresponding predicted data by collecting interactive data of a user to obtain information to be input.

According to the technical scheme provided by the embodiment of the invention, the technical problem of low efficiency of the existing information input mode can be solved.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. An information entry method, comprising:

receiving an information input command, acquiring information requirements, analyzing to obtain a plurality of input item identifiers, and matching to obtain corresponding information input templates;

for each entry identification: screening a plurality of corresponding historical data from the data pool, reading the data source of each historical data, comparing and calculating with the information demand to obtain corresponding credibility, and selecting the historical data with highest credibility as prediction data;

determining a category corresponding to each piece of predicted data based on a preset credibility threshold value, and determining an enhanced display mode corresponding to each piece of predicted data based on a preset typesetting rule so as to respectively enhance and display each piece of predicted data in the information entry template to obtain a target template;

And loading a target template in the front-end page so as to modify or confirm corresponding predicted data by collecting interactive data of a user to obtain information to be input.

2. The method of claim 1, wherein comparing the information requirement with the information requirement to obtain the corresponding confidence level comprises:

3. The method according to claim 2, characterized by comprising:

4. The method of claim 1, wherein after matching the corresponding information entry template, comprising:

5. The method of claim 1, wherein the individually enhanced displaying of each predicted data in the information entry template comprises:

6. The method of claim 5, wherein loading the target template in the front-end page comprises:

7. The method of claim 1, wherein editing or validating the corresponding predicted data by collecting user interaction data comprises:

8. The method according to claim 2, characterized in that after obtaining the information to be entered, it comprises:

9. An information entry device, comprising:

the acquisition module is used for receiving the information input command, acquiring the information requirement, analyzing to obtain a plurality of input item identifiers, and matching to obtain a corresponding information input template;

typesetting module, which is used to identify each entry: screening a plurality of corresponding historical data from the data pool, reading the data source of each historical data, comparing and calculating with the information demand to obtain corresponding credibility, and selecting the historical data with highest credibility as prediction data; the method is also used for determining the category corresponding to each piece of predicted data based on a preset credibility threshold value, and determining the enhanced display mode corresponding to each piece of predicted data based on a preset typesetting rule so as to respectively enhance and display each piece of predicted data in the information input template to obtain a target template;

And the interaction module is used for loading the target template in the front-end page so as to edit or confirm the corresponding predicted data by collecting interaction data of the user and obtain information to be input.

10. The apparatus as claimed in claim 9, comprising:

the typesetting module is used for analyzing and obtaining corresponding user identifications according to the information requirements when comparing and calculating with the information requirements to obtain corresponding credibility, and judging whether data sources comprising the user identifications exist or not; if yes, determining that the reliability of the corresponding historical data is a preset maximum value; if not, historical data with the occurrence frequency larger than a preset frequency threshold value is selected, and the corresponding reliability is determined to be a preset secondary maximum value.

11. The apparatus as claimed in claim 10, comprising:

and the typesetting module is used for determining that the credibility threshold value is larger than the next largest value and smaller than the maximum value.

12. The apparatus as claimed in claim 9, comprising:

the typesetting module is used for carrying out matching to obtain corresponding information input templates and then carrying out pulling-down on each drop-down frame in the information input templates: and calculating the number of packaged options, and generating a single selection frame corresponding to each option to obtain a plurality of single selection frames to replace the drop-down frame in response to the fact that the number is smaller than a preset single selection threshold.

13. The apparatus as claimed in claim 9, comprising:

the typesetting module is used for determining a corresponding input frame of each piece of predicted data in the information input template according to the input item identifier corresponding to each piece of predicted data when each piece of predicted data is respectively enhanced and displayed in the information input template; reading each piece of prediction data with the credibility larger than the credibility threshold value, and loading the prediction data into a corresponding input frame; and reading each piece of prediction data with the credibility smaller than the credibility threshold, generating a corresponding single selection frame in response to determining that the corresponding single selection frame does not exist in the information entry template, and placing the corresponding single selection frame at the position nearby the corresponding entry frame.

14. The apparatus as claimed in claim 13, comprising:

the interactive module is used for selecting an input frame with loading content in the target template as a target input frame when the target template is loaded in the front-end page, and carrying out combined typesetting on all the target input frames so as to load the target input frames into the same front-end page; selecting other input frames in the target template as non-target input frames, so as to load each non-target input frame into different front-end pages respectively; and loading the target template to obtain a plurality of front-end pages, and switching the input frame cursor through the switching of the front-end pages.

15. The apparatus as claimed in claim 9, comprising:

and the interaction module is used for responding to the fact that the collected interaction data are voice data when the corresponding prediction data are edited or confirmed through collecting the interaction data of the user, invoking a word segmentation program to perform word segmentation on the voice data, and editing or confirming the corresponding prediction data according to a word segmentation processing result.

16. The apparatus as claimed in claim 10, comprising:

and the interaction module is used for establishing the association between the information to be recorded and the corresponding user identification after the information to be recorded is obtained, and storing the association in the data pool.

17. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-8.

18. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-8.

19. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-8.