CN116595069A - Big data-based filtering display method and system - Google Patents
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Abstract
The application discloses a filtering display method and system based on big data. Wherein the method comprises the following steps: acquiring original retrieval information and original text information; decomposing the original search information to generate key information and auxiliary information; extracting first search content according to the key information, and extracting second search content according to the auxiliary information by using a big data platform, wherein the second search content is used for limiting the range of the first search content; and fusing the first search content and the second search content to obtain target search content. The application solves the technical problems that the display and the generation of the retrieval content of the big data platform in the prior art only carry out the display and the presentation of the content of the big data platform through the retrieval information provided by the user, the retrieval content cannot be further extracted from the aspect of the user demand according to the information provided by the user, and the retrieval information which can be really used for the user is displayed, so the display precision of the big data platform is reduced.
Description
Technical Field
The application relates to the field of data processing and display, in particular to a filtering display method and system based on big data.
Background
Along with the continuous development of intelligent science and technology, intelligent equipment is increasingly used in life, work and study of people, and the quality of life of people is improved and the learning and working efficiency of people is increased by using intelligent science and technology means.
At present, for the application of a big data platform, generally, for the data retrieval result formed by big data, content extraction is performed according to retrieval information or index information provided by a user, and the extracted content of the big data platform is displayed to the user, so that the user can utilize the data obtained by analysis according to the diversified big data platform to achieve the production purpose of the user, but the display and generation of the retrieval content of the big data platform in the prior art only perform the content extraction and display of the big data platform according to the retrieval information provided by the user, the retrieval content cannot be further extracted from the view of the user requirement according to the information provided by the user, and the retrieval information which may be really useful for the user is displayed, so that the accuracy of displaying the big data platform is reduced.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides a filtering display method and a system based on big data, which at least solve the technical problems that the display and the generation of the big data platform retrieval content in the prior art are to carry out the content proposal and the display of the big data platform only through the retrieval information provided by a user, the retrieval content cannot be further extracted from the aspect of user demands according to the information provided by the user, and the retrieval information which can be really used for the user is displayed, so that the display accuracy of the big data platform is reduced.
According to an aspect of the embodiment of the application, there is provided a big data-based filtering and displaying method, including: acquiring original retrieval information and original text information; decomposing the original search information to generate key information and auxiliary information; extracting first search content according to the key information, and extracting second search content according to the auxiliary information by using a big data platform, wherein the second search content is used for limiting the range of the first search content; and fusing the first search content and the second search content to obtain target search content.
Optionally, the decomposing the first search information to generate key information and auxiliary information includes: identifying key content tags and non-key content tags in the original search information; and generating the key information according to the key content tags, and generating the auxiliary information according to the non-key content tags.
Optionally, the extracting the first search content according to the key information, and extracting the second search content according to the auxiliary information by using a big data platform, where the second search content is used to limit the range of the first search content includes: inputting the key information and the original text information into a retrieval model to generate the first retrieval content; and inputting the auxiliary information to a big data platform port, and extracting and obtaining the second retrieval content.
Optionally, the fusing the first search content and the second search content to obtain the target search content includes: inputting the second search content into a screening matching matrix to obtain a search screening strategy, wherein the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1; and filtering the first search content according to the search screening strategy to obtain the target search content.
According to another aspect of the embodiment of the present application, there is also provided a big data-based filtering and displaying system, including: the acquisition module is used for acquiring the original retrieval information and the original text information; the decomposing module is used for decomposing the original search information to generate key information and auxiliary information; the extraction module is used for extracting first search contents according to the key information, and extracting second search contents according to the auxiliary information by utilizing a big data platform, wherein the second search contents are used for limiting the range of the first search contents; and the fusion module is used for fusing the first search content and the second search content to obtain target search content.
Optionally, the decomposition module includes: the identification unit is used for identifying the key content tags and the non-key content tags in the original search information; and the generating unit is used for generating the key information according to the key content labels and generating the auxiliary information according to the non-key content labels.
Optionally, the extracting module includes: the input unit is used for inputting the key information and the original text information into a retrieval model and generating the first retrieval content; and the extraction unit is used for inputting the auxiliary information to a big data platform port and extracting and obtaining the second retrieval content.
Optionally, the fusion module includes: an input unit, configured to input the second search content to a screening matching matrix to obtain a search screening policy, where the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1; and the filtering unit is used for filtering the first search content according to the search screening strategy to obtain the target search content.
According to another aspect of the embodiment of the present application, there is further provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored program, and when the program runs, the device where the nonvolatile storage medium is controlled to execute a filtering presentation method based on big data.
According to another aspect of an embodiment of the present application, there is also provided an electronic system including a processor and a memory; the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, where the computer readable instructions execute a big data based filtering presentation method when executed.
In the embodiment of the application, the original retrieval information and the original text information are acquired; decomposing the original search information to generate key information and auxiliary information; extracting first search content according to the key information, and extracting second search content according to the auxiliary information by using a big data platform, wherein the second search content is used for limiting the range of the first search content; the method for fusing the first search content and the second search content to obtain the target search content solves the technical problems that in the prior art, the display and the generation of the search content of the big data platform are only carried out through search information provided by a user to carry out the content proposal and the display of the big data platform, the search content cannot be further refined according to the information provided by the user, the search content is really extracted from the view of the user demand, and the search information which can be really used for the user is displayed, so that the display accuracy of the big data platform is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a big data based filter presentation method according to an embodiment of the present application;
FIG. 2 is a block diagram of a big data based filter presentation system in accordance with an embodiment of the present application;
fig. 3 is a block diagram of a terminal device for performing the method according to the application according to an embodiment of the application;
fig. 4 is a memory unit for holding or carrying program code for implementing a method according to the application, according to an embodiment of the application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present application, there is provided a method embodiment of a big data based filtering presentation method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different from that herein.
Example 1
Fig. 1 is a flowchart of a big data based filtering presentation method according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
step S102, acquiring original retrieval information and original text information.
Specifically, in order to solve the technical problems that in the prior art, the display and the generation of the large data platform search content are performed only through search information provided by a user, the search content cannot be further extracted from the view of user requirements according to the information provided by the user, and the search information which is possibly really useful for the user is displayed, so that the display accuracy of the large data platform is reduced, the original search information and the original text information are required to be acquired, wherein the original text information is all text data obtained by searching according to the user requirements of the user, and the original search information is the search content required by the user for searching the user, input search information and the search content required by the user and expected to be extracted through the large data platform.
And step S104, decomposing the original search information to generate key information and auxiliary information.
Optionally, the decomposing the first search information to generate key information and auxiliary information includes: identifying key content tags and non-key content tags in the original search information; and generating the key information according to the key content tags, and generating the auxiliary information according to the non-key content tags.
Optionally, the identifying key content tags and non-key content tags in the original search information includes: picking information labels in the original retrieval information, wherein the information labels represent information classification identifiers of different functions in the original retrieval information; and inputting the information labels into a label matching matrix to obtain the key content labels and the non-key content labels.
Specifically, in order to analyze the original search information, the embodiment of the application needs to split the original search information to separate two types of key information and auxiliary information, wherein the key information represents key search words or keywords of the search content expected by a user, and the auxiliary information represents other related descriptive words or keywords or even pictures which are added in an auxiliary way for explaining the key information. For example, the decomposing the first search information to generate the key information and the auxiliary information includes: identifying key content tags and non-key content tags in the original search information; and generating the key information according to the key content tags, and generating the auxiliary information according to the non-key content tags.
And S106, extracting first search contents according to the key information, and extracting second search contents according to the auxiliary information by using a big data platform, wherein the second search contents are used for limiting the range of the first search contents.
Optionally, the extracting the first search content according to the key information, and extracting the second search content according to the auxiliary information by using a big data platform, where the second search content is used to limit the range of the first search content includes: inputting the key information and the original text information into a retrieval model to generate the first retrieval content; and inputting the auxiliary information to a big data platform port, and extracting and obtaining the second retrieval content.
Specifically, in order to reduce the search content displayed to the user, the embodiment of the application filters and selects the initial search content, extracts key information to obtain first search content, and matches auxiliary information to obtain second search content by utilizing the diversified databank of the large data platform, thereby obtaining the first search content range and volume limitation. For example, optionally, the extracting the first search content according to the key information, and extracting the second search content according to the auxiliary information by using the big data platform, where the second search content is used to limit the range of the first search content includes: inputting the key information and the original text information into a retrieval model to generate the first retrieval content; and inputting the auxiliary information to a big data platform port, and extracting and obtaining the second retrieval content.
Step S108, fusing the first search content and the second search content to obtain target search content.
Optionally, the fusing the first search content and the second search content to obtain the target search content includes: inputting the second search content into a screening matching matrix to obtain a search screening strategy, wherein the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1; and filtering the first search content according to the search screening strategy to obtain the target search content.
Optionally, S1 to Sn in the matching matrix includes: retrieving corresponding information, retrieving a screening threshold, retrieving a screening operation parameter, wherein the retrieving the screening operation parameter comprises: and screening the content library according to the screening degree value.
By the embodiment, the technical problems that the display and the generation of the large data platform retrieval content in the prior art only carry out the large data platform content proposal and the display through the retrieval information provided by the user, the retrieval content cannot be further refined from the aspect of user demands according to the information provided by the user, and the retrieval information which is possibly really useful for the user is displayed are solved, so that the display accuracy of the large data platform is reduced are solved.
Example two
FIG. 2 is a block diagram of a big data based filtering presentation system, as shown in FIG. 2, according to an embodiment of the present application, comprising:
the acquiring module 20 is configured to acquire the original search information and the original text information.
Specifically, in order to solve the technical problems that in the prior art, the display and the generation of the large data platform search content are performed only through search information provided by a user, the search content cannot be further extracted from the view of user requirements according to the information provided by the user, and the search information which is possibly really useful for the user is displayed, so that the display accuracy of the large data platform is reduced, the original search information and the original text information are required to be acquired, wherein the original text information is all text data obtained by searching according to the user requirements of the user, and the original search information is the search content required by the user for searching the user, input search information and the search content required by the user and expected to be extracted through the large data platform.
And the decomposition module 22 is used for decomposing the original search information to generate key information and auxiliary information.
Optionally, the decomposition module includes: the identification unit is used for identifying the key content tags and the non-key content tags in the original search information; and the generating unit is used for generating the key information according to the key content labels and generating the auxiliary information according to the non-key content labels.
Specifically, in order to analyze the original search information, the embodiment of the application needs to split the original search information to separate two types of key information and auxiliary information, wherein the key information represents key search words or keywords of the search content expected by a user, and the auxiliary information represents other related descriptive words or keywords or even pictures which are added in an auxiliary way for explaining the key information. For example, the decomposing the first search information to generate the key information and the auxiliary information includes: identifying key content tags and non-key content tags in the original search information; and generating the key information according to the key content tags, and generating the auxiliary information according to the non-key content tags.
The extracting module 24 is configured to extract a first search content according to the key information, and extract a second search content according to the auxiliary information by using a big data platform, where the second search content is used to limit the range of the first search content.
Optionally, the extracting module includes: the input unit is used for inputting the key information and the original text information into a retrieval model and generating the first retrieval content; and the extraction unit is used for inputting the auxiliary information to a big data platform port and extracting and obtaining the second retrieval content.
Specifically, in order to reduce the search content displayed to the user, the embodiment of the application filters and selects the initial search content, extracts key information to obtain first search content, and matches auxiliary information to obtain second search content by utilizing the diversified databank of the large data platform, thereby obtaining the first search content range and volume limitation. For example, optionally, the extracting the first search content according to the key information, and extracting the second search content according to the auxiliary information by using the big data platform, where the second search content is used to limit the range of the first search content includes: inputting the key information and the original text information into a retrieval model to generate the first retrieval content; and inputting the auxiliary information to a big data platform port, and extracting and obtaining the second retrieval content.
And the fusion module 26 is configured to fuse the first search content and the second search content to obtain a target search content.
Optionally, the fusion module includes: an input unit, configured to input the second search content to a screening matching matrix to obtain a search screening policy, where the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1; and the filtering unit is used for filtering the first search content according to the search screening strategy to obtain the target search content.
By the embodiment, the technical problems that the display and the generation of the large data platform retrieval content in the prior art only carry out the large data platform content proposal and the display through the retrieval information provided by the user, the retrieval content cannot be further refined from the aspect of user demands according to the information provided by the user, and the retrieval information which is possibly really useful for the user is displayed are solved, so that the display accuracy of the large data platform is reduced are solved.
According to another aspect of the embodiment of the present application, there is further provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored program, and when the program runs, the device where the nonvolatile storage medium is controlled to execute a filtering presentation method based on big data.
Specifically, the method comprises the following steps: acquiring original retrieval information and original text information; decomposing the original search information to generate key information and auxiliary information; extracting first search content according to the key information, and extracting second search content according to the auxiliary information by using a big data platform, wherein the second search content is used for limiting the range of the first search content; and fusing the first search content and the second search content to obtain target search content. Optionally, the decomposing the first search information to generate key information and auxiliary information includes: identifying key content tags and non-key content tags in the original search information; and generating the key information according to the key content tags, and generating the auxiliary information according to the non-key content tags. Optionally, the extracting the first search content according to the key information, and extracting the second search content according to the auxiliary information by using a big data platform, where the second search content is used to limit the range of the first search content includes: inputting the key information and the original text information into a retrieval model to generate the first retrieval content; and inputting the auxiliary information to a big data platform port, and extracting and obtaining the second retrieval content. Optionally, the fusing the first search content and the second search content to obtain the target search content includes: inputting the second search content into a screening matching matrix to obtain a search screening strategy, wherein the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1; and filtering the first search content according to the search screening strategy to obtain the target search content.
According to another aspect of an embodiment of the present application, there is also provided an electronic system including a processor and a memory; the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, where the computer readable instructions execute a big data based filtering presentation method when executed.
Specifically, the method comprises the following steps: acquiring original retrieval information and original text information; decomposing the original search information to generate key information and auxiliary information; extracting first search content according to the key information, and extracting second search content according to the auxiliary information by using a big data platform, wherein the second search content is used for limiting the range of the first search content; and fusing the first search content and the second search content to obtain target search content. Optionally, the decomposing the first search information to generate key information and auxiliary information includes: identifying key content tags and non-key content tags in the original search information; and generating the key information according to the key content tags, and generating the auxiliary information according to the non-key content tags. Optionally, the extracting the first search content according to the key information, and extracting the second search content according to the auxiliary information by using a big data platform, where the second search content is used to limit the range of the first search content includes: inputting the key information and the original text information into a retrieval model to generate the first retrieval content; and inputting the auxiliary information to a big data platform port, and extracting and obtaining the second retrieval content. Optionally, the fusing the first search content and the second search content to obtain the target search content includes: inputting the second search content into a screening matching matrix to obtain a search screening strategy, wherein the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1; and filtering the first search content according to the search screening strategy to obtain the target search content.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The system embodiments described above are merely exemplary, and for example, the division of the units may be a logic function division, and there may be another division manner when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present application. As shown in fig. 3, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. The communication bus 34 is used to enable communication connections between the elements. The memory 33 may comprise a high-speed RAM memory or may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, in which various programs may be stored for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the processor 31 may be implemented as, for example, a central processing unit (Central Processing Unit, abbreviated as CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the processor 31 is coupled to the input device 30 and the output device 32 through wired or wireless connections.
Alternatively, the input device 30 may include a variety of input devices, for example, may include at least one of a user-oriented user interface, a device-oriented device interface, a programmable interface of software, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware insertion interface (such as a USB interface, a serial port, etc.) for data transmission between devices; alternatively, the user-oriented user interface may be, for example, a user-oriented control key, a voice input device for receiving voice input, and a touch-sensitive device (e.g., a touch screen, a touch pad, etc. having touch-sensitive functionality) for receiving user touch input by a user; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, for example, an input pin interface or an input interface of a chip, etc.; optionally, the transceiver may be a radio frequency transceiver chip, a baseband processing chip, a transceiver antenna, etc. with a communication function. An audio input device such as a microphone may receive voice data. The output device 32 may include a display, audio, or the like.
In this embodiment, the processor of the terminal device may include functions for executing each module of the data processing system in each device, and specific functions and technical effects may be referred to the above embodiments and are not described herein again.
Fig. 4 is a schematic hardware structure of a terminal device according to another embodiment of the present application. Fig. 4 is a specific embodiment of the implementation of fig. 3. As shown in fig. 4, the terminal device of the present embodiment includes a processor 41 and a memory 42.
The processor 41 executes the computer program code stored in the memory 42 to implement the methods of the above-described embodiments.
The memory 42 is configured to store various types of data to support operation at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, video, etc. The memory 42 may include a random access memory (random access memory, simply referred to as RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a processor 41 is provided in the processing assembly 40. The terminal device may further include: a communication component 43, a power supply component 44, a multimedia component 45, an audio component 46, an input/output interface 47 and/or a sensor component 48. The components and the like specifically included in the terminal device are set according to actual requirements, which are not limited in this embodiment.
The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 40 may include one or more modules that facilitate interactions between the processing component 40 and other components. For example, processing component 40 may include a multimedia module to facilitate interaction between multimedia component 45 and processing component 40.
The power supply assembly 44 provides power to the various components of the terminal device. Power supply components 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for terminal devices.
The multimedia component 45 comprises a display screen between the terminal device and the user providing an output interface. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation.
The audio component 46 is configured to output and/or input audio signals. For example, the audio component 46 includes a Microphone (MIC) configured to receive external audio signals when the terminal device is in an operational mode, such as a speech recognition mode. The received audio signals may be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, audio assembly 46 further includes a speaker for outputting audio signals.
The input/output interface 47 provides an interface between the processing assembly 40 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: volume button, start button and lock button.
The sensor assembly 48 includes one or more sensors for providing status assessment of various aspects for the terminal device. For example, the sensor assembly 48 may detect the open/closed state of the terminal device, the relative positioning of the assembly, the presence or absence of user contact with the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera or the like.
The communication component 43 is configured to facilitate communication between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot, where the SIM card slot is used to insert a SIM card, so that the terminal device may log into a GPRS network, and establish communication with a server through the internet.
From the above, it will be appreciated that the communication component 43, the audio component 46, and the input/output interface 47, the sensor component 48 referred to in the embodiment of fig. 4 may be implemented as an input device in the embodiment of fig. 3.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The system embodiments described above are merely exemplary, and for example, the division of the units may be a logic function division, and there may be another division manner when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (10)
1. The filtering and displaying method based on big data is characterized by comprising the following steps:
acquiring original retrieval information and original text information;
decomposing the original search information to generate key information and auxiliary information;
extracting first search content according to the key information, and extracting second search content according to the auxiliary information by using a big data platform, wherein the second search content is used for limiting the range of the first search content;
and fusing the first search content and the second search content to obtain target search content.
2. The method of claim 1, wherein decomposing the first search information to generate key information and auxiliary information comprises:
identifying key content tags and non-key content tags in the original search information;
and generating the key information according to the key content tags, and generating the auxiliary information according to the non-key content tags.
3. The method of claim 1, wherein the extracting first search content according to the key information and extracting second search content according to the auxiliary information using a big data platform, wherein the second search content is used for limiting the range of the first search content comprises:
inputting the key information and the original text information into a retrieval model to generate the first retrieval content;
and inputting the auxiliary information to a big data platform port, and extracting and obtaining the second retrieval content.
4. The method of claim 1, wherein fusing the first search content and the second search content to obtain target search content comprises:
inputting the second search content into a screening matching matrix to obtain a search screening strategy, wherein the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1;
and filtering the first search content according to the search screening strategy to obtain the target search content.
5. A big data based filter presentation system, comprising:
the acquisition module is used for acquiring the original retrieval information and the original text information;
the decomposing module is used for decomposing the original search information to generate key information and auxiliary information;
the extraction module is used for extracting first search contents according to the key information, and extracting second search contents according to the auxiliary information by utilizing a big data platform, wherein the second search contents are used for limiting the range of the first search contents;
and the fusion module is used for fusing the first search content and the second search content to obtain target search content.
6. The system of claim 5, wherein the decomposition module comprises:
the identification unit is used for identifying the key content tags and the non-key content tags in the original search information;
and the generating unit is used for generating the key information according to the key content labels and generating the auxiliary information according to the non-key content labels.
7. The system of claim 5, wherein the extraction module comprises:
the input unit is used for inputting the key information and the original text information into a retrieval model and generating the first retrieval content;
and the extraction unit is used for inputting the auxiliary information to a big data platform port and extracting and obtaining the second retrieval content.
8. The system of claim 5, wherein the fusion module comprises:
an input unit, configured to input the second search content to a screening matching matrix to obtain a search screening policy, where the matching matrix is
Wherein J1-Jn are second search contents, S1-Sn are search screening contents, and n is a positive integer greater than or equal to 1;
and the filtering unit is used for filtering the first search content according to the search screening strategy to obtain the target search content.
9. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein the program, when run, controls a device in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 4.
10. An electronic system comprising a processor and a memory; the memory has stored therein computer readable instructions for executing the processor, wherein the computer readable instructions when executed perform the method of any of claims 1 to 4.
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