CN105205159B - Device and method for automatically feeding back information - Google Patents
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- CN105205159B CN105205159B CN201510631536.8A CN201510631536A CN105205159B CN 105205159 B CN105205159 B CN 105205159B CN 201510631536 A CN201510631536 A CN 201510631536A CN 105205159 B CN105205159 B CN 105205159B
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Abstract
The invention discloses a device and a method for automatically feeding back information. The method comprises the following steps: receiving an information request, and extracting a target keyword of the information request; matching a keyword set to which a target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword, and the keyword sets have no intersection; when a plurality of keyword sets are matched, confirming a primary keyword set according to the weight of the keyword sets, and confirming at least one secondary keyword set according to the relevancy of the plurality of keyword sets and the primary keyword set; and reading and feeding back a response set corresponding to the primary keyword set and the secondary keyword set. By establishing the associated keyword set, defining the weight of the keyword set, outputting an information feedback result according to the weight and the association degree in the information request process, outputting the associated feedback as much as possible in a single information request, reducing the request times in the information request and feedback process, improving the information feedback efficiency and enhancing the user experience.
Description
Technical Field
The present invention relates to the field of information processing, and in particular, to an apparatus and method for automatically feeding back information.
Background
With the continuous progress of manufacturing processes and the continuous diffusion of technologies, product competition tends to be homogeneous, and in order to improve market competitiveness of products, various merchants begin to provide abundant and diverse pre-sale services and post-sale services. The method comprises telephone consultation, network consultation, social tool consultation and the like, and in order to improve service efficiency and save labor cost, a user generally realizes self-service consultation service on the basis of consultation modes such as telephone consultation and the like by screening specific inquiry directions in advance. Because the self-service consultation service realized on the basis of telephone consultation is simple in consultation content before switching to manual service, the information presentation mode is not comprehensive enough, a user can only passively receive information basically, consultation is carried out within a preset range, and quick inquiry of a direct target cannot be carried out on specific problems of the user; therefore, the self-service consultation service is mainly realized by adopting a network consultation mode and a social tool consultation mode.
At present, network consultation and social tool consultation are mainly in a one-question-one-answer mode, after a user inputs consultation contents, a computer matches keywords in the user contents, and consultation result information corresponding to the keywords is fed back. However, in most cases, the user's question cannot be satisfied in one question and answer, and multiple interactions are required, and in addition, the user himself is uncertain which keywords can directly point to the consultation target, and often needs to input for multiple times before the result that the user wants to be obtained, so that the problem solving efficiency is low, and the user experience in the information interaction process is poor.
Disclosure of Invention
The invention mainly aims to provide an automatic information feedback device and method, and aims to reduce the number of requests in the information request and feedback process, improve the information feedback efficiency and enhance the user experience.
In order to achieve the above object, the present invention provides an apparatus for automatically feeding back information, comprising:
the receiving and extracting module is used for receiving an information request and extracting a target keyword of the information request;
the keyword matching module is used for matching a keyword set to which the target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword, and the keyword sets have no intersection;
the set confirmation module is used for confirming a primary keyword set according to the weight of the keyword set when a plurality of keyword sets are matched, and confirming at least one secondary keyword set according to the relevance of the plurality of keyword sets and the primary keyword set;
and the reading feedback module is used for reading and feeding back the response sets corresponding to the primary keyword set and the secondary keyword set.
Wherein, the correlation degree among the keyword sets is recorded in a correlation matrix A, A of N x Nij＝NUM(Sj|Si),1≤i,j≤N；
Wherein N represents the number of the keyword set S, (S)j|Si) The primary key of the previous request operation in two adjacent request operations of a single information request belongs to the key set SiAnd the primary key of the next request operation belongs to the key set Sj；NUM(Sj|Si) Denotes (S)j|Si) The cumulative number of times of (a);
the device, still include:
and the incidence matrix updating module is used for updating the incidence matrix after the single information request is completed.
Wherein, the device still includes:
the weight correction module is used for correcting the weight of the matched keyword set into x + a;
wherein x is the initial weight of the keyword set; and a is the sum of numerical values of corresponding columns of the keyword set in the incidence matrix.
Wherein, still include:
the updating and resetting module is used for periodically updating the keyword set; the initial weights and relevancy of the set of keywords are reset.
When the keyword set comprises geographic attribute keywords, the response set corresponding to the keyword set records geographic characteristic information.
In addition, in order to achieve the above object, the present invention further provides an automatic information feedback method, including:
receiving an information request, and extracting a target keyword of the information request;
matching a keyword set to which the target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword, and the keyword sets have no intersection;
when a plurality of keyword sets are matched, confirming a primary keyword set according to the weight of the keyword set, and confirming at least one secondary keyword set according to the relevance of the plurality of keyword sets and the primary keyword set;
and reading and feeding back a response set corresponding to the primary keyword set and the secondary keyword set.
Wherein, the correlation degree among the keyword sets is recorded in a correlation matrix A, A of N x Nij＝NUM(Sj|Si),1≤i,j≤N；
Wherein N represents the number of the keyword set S, (S)j|Si) The primary key of the previous request operation in two adjacent request operations of a single information request belongs to the key set SiAnd the primary key of the next request operation belongs to the key set Sj；NUM(Sj|Si) Denotes (S)j|Si) The cumulative number of times of (a);
the method further comprises the following steps:
and updating the incidence matrix after the single information request is completed.
Wherein, the method further comprises:
correcting the weight of the matched keyword set into x + a;
wherein x is the initial weight of the keyword set; and a is the sum of numerical values of corresponding columns of the keyword set in the incidence matrix.
Wherein, still include:
periodically updating the keyword set; the initial weights and relevancy of the set of keywords are reset.
When the keyword set comprises geographic attribute keywords, the response set corresponding to the keyword set records geographic characteristic information.
According to the device and the method for automatically feeding back the information, the associated keyword set is established, the weight of the keyword set is defined, the information feedback result is output according to the weight and the association degree in the information request process, the associated feedback is output as much as possible in a single information request, the request times in the information request and feedback process are reduced, the information feedback efficiency is improved, and the user experience is enhanced.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention;
FIG. 2 is a diagram of a wireless communication system for the mobile terminal shown in FIG. 1;
FIG. 3A is a flowchart of a first embodiment of a method for automatic information feedback according to the present invention;
FIG. 3B is a diagram illustrating relationships among sets of keywords;
FIG. 3C is a diagram illustrating the relationship between a keyword set and a response set;
FIG. 4 is a flowchart of a second embodiment of a method for automatic information feedback according to the present invention;
FIG. 5 is a block diagram illustrating a first embodiment of an apparatus for automatic information feedback according to the present invention;
fig. 6 is a block diagram illustrating a second embodiment of an apparatus for automatically feeding back information according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
The mobile terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. In the following, it is assumed that the terminal is a mobile terminal. However, it will be understood by those skilled in the art that the configuration according to the embodiment of the present invention can be applied to a fixed type terminal in addition to elements particularly used for moving purposes.
Fig. 1 is a schematic hardware configuration of a mobile terminal implementing various embodiments of the present invention.
The mobile terminal 100 may include a wireless communication unit 110, an a/V (audio/video) input unit 120, a user input unit 130, a sensing unit 140, an output unit 150, a memory 160, an interface unit 170, a controller 180, and a power supply unit 190, etc. Fig. 1 illustrates a mobile terminal having various components, but it is to be understood that not all illustrated components are required to be implemented. More or fewer components may alternatively be implemented. Elements of the mobile terminal will be described in detail below.
The wireless communication unit 110 typically includes one or more components that allow radio communication between the mobile terminal 100 and a wireless communication system or network. For example, the wireless communication unit may include at least one of a broadcast receiving module 111, a mobile communication module 112, a wireless internet module 113, a short-range communication module 114, and a location information module 115.
The broadcast receiving module 111 receives a broadcast signal and/or broadcast associated information from an external broadcast management server via a broadcast channel. The broadcast channel may include a satellite channel and/or a terrestrial channel. The broadcast management server may be a server that generates and transmits a broadcast signal and/or broadcast associated information or a server that receives a previously generated broadcast signal and/or broadcast associated information and transmits it to a terminal. The broadcast signal may include a TV broadcast signal, a radio broadcast signal, a data broadcast signal, and the like. Also, the broadcast signal may further include a broadcast signal combined with a TV or radio broadcast signal. The broadcast associated information may also be provided via a mobile communication network, and in this case, the broadcast associated information may be received by the mobile communication module 112. The broadcast signal may exist in various forms, for example, it may exist in the form of an Electronic Program Guide (EPG) of Digital Multimedia Broadcasting (DMB), an Electronic Service Guide (ESG) of digital video broadcasting-handheld (DVB-H), and the like. The broadcast receiving module 111 may receive a signal broadcast by using various types of broadcasting systems. In particular, the broadcast receiving module 111 may receive a broadcast signal by using a signal such as multimedia broadcasting-terrestrial (DMB-T), digital multimedia broadcasting-satellite (DMB-S), digital video broadcasting-handheld (DVB-H), forward link media (MediaFLO)@) A digital broadcasting system of a terrestrial digital broadcasting integrated service (ISDB-T), etc. receives digital broadcasting. The broadcast receiving module 111 may be constructed to be suitable for various broadcasting systems that provide broadcast signals as well as the above-mentioned digital broadcasting systems. The broadcast signal and/or broadcast associated information received via the broadcast receiving module 111 may be stored in the memory 160 (or other type of storage medium).
The mobile communication module 112 transmits and/or receives radio signals to and/or from at least one of a base station (e.g., access point, node B, etc.), an external terminal, and a server. Such radio signals may include voice call signals, video call signals, or various types of data transmitted and/or received according to text and/or multimedia messages.
The wireless internet module 113 supports wireless internet access of the mobile terminal. The module may be internally or externally coupled to the terminal. The wireless internet access technology to which the module relates may include WLAN (wireless LAN) (Wi-Fi), Wibro (wireless broadband), Wimax (worldwide interoperability for microwave access), HSDPA (high speed downlink packet access), and the like.
The short-range communication module 114 is a module for supporting short-range communication. Some examples of short-range communication technologies include bluetoothTMRadio Frequency Identification (RFID), infrared data association (IrDA), Ultra Wideband (UWB), zigbeeTMAnd so on.
The location information module 115 is a module for checking or acquiring location information of the mobile terminal. A typical example of the location information module is a GPS (global positioning system). According to the current technology, the GPS module 115 calculates distance information and accurate time information from three or more satellites and applies triangulation to the calculated information, thereby accurately calculating three-dimensional current location information according to longitude, latitude, and altitude. Currently, a method for calculating position and time information uses three satellites and corrects an error of the calculated position and time information by using another satellite. In addition, the GPS module 115 can calculate speed information by continuously calculating current position information in real time.
The a/V input unit 120 is used to receive an audio or video signal. The a/V input unit 120 may include a camera 121 and a microphone 122, and the camera 121 processes image data of still pictures or video obtained by an image capturing apparatus in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display module 151. The image frames processed by the cameras 121 may be stored in the memory 160 (or other storage medium) or transmitted via the wireless communication unit 110, and two or more cameras 121 may be provided according to the configuration of the mobile terminal, in this scheme, more cameras are required to implement image acquisition and related data processing for the control body. The microphone 122 may receive sounds (audio data) via the microphone in a phone call mode, a recording mode, a voice recognition mode, or the like, and can process such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the mobile communication module 112 in case of a phone call mode. The microphone 122 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The user input unit 130 may generate key input data according to a command input by a user to control various operations of the mobile terminal. The user input unit 130 allows a user to input various types of information, and may include a keyboard, dome sheet, touch pad (e.g., a touch-sensitive member that detects changes in resistance, pressure, capacitance, and the like due to being touched), scroll wheel, joystick, and the like. In particular, when the touch pad is superimposed on the display module 151 in the form of a layer, a touch screen may be formed.
The sensing unit 140 detects a current state of the mobile terminal 100 (e.g., an open or closed state of the mobile terminal 100), a position of the mobile terminal 100, presence or absence of contact (i.e., touch input) by a user with the mobile terminal 100, an orientation of the mobile terminal 100, acceleration or deceleration movement and direction of the mobile terminal 100, and the like, and generates a command or signal for controlling an operation of the mobile terminal 100. For example, when the mobile terminal 100 is implemented as a slide-type mobile phone, the sensing unit 140 may sense whether the slide-type phone is opened or closed. In addition, the sensing unit 140 can detect whether the power supply unit 190 supplies power or whether the interface unit 170 is coupled with an external device. Generally, the sensing unit 140 includes a distance sensor 141, and the distance sensor 141 in the sensing unit 140 processes distance detection in a phone answering process implemented near the audio output module 152.
The interface unit 170 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The identification module may store various information for authenticating a user using the mobile terminal 100 and may include a User Identity Module (UIM), a Subscriber Identity Module (SIM), a Universal Subscriber Identity Module (USIM), and the like. In addition, a device having an identification module (hereinafter, referred to as an "identification device") may take the form of a smart card, and thus, the identification device may be connected with the mobile terminal 100 via a port or other connection means. The interface unit 170 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal and the external device.
In addition, when the mobile terminal 100 is connected with an external cradle, the interface unit 170 may serve as a path through which power is supplied from the cradle to the mobile terminal 100 or may serve as a path through which various command signals input from the cradle are transmitted to the mobile terminal. Various command signals or power input from the cradle may be used as signals for recognizing whether the mobile terminal is accurately mounted on the cradle. The output unit 150 is configured to provide output signals (e.g., audio signals, video signals, alarm signals, vibration signals, etc.) in a visual, audio, and/or tactile manner. The output unit 150 may include a display module 151, an audio output module 152, an alarm module 153, and the like.
The display module 151 may display information processed in the mobile terminal 100. For example, when the mobile terminal 100 is in a phone call mode, the display module 151 may display a User Interface (UI) or a Graphical User Interface (GUI) related to a call or other communication (e.g., text messaging, multimedia file downloading, etc.). When the mobile terminal 100 is in a video call mode or an image capturing mode, the display module 151 may display a captured image and/or a received image, a UI or GUI showing a video or an image and related functions, and the like.
Meanwhile, when the display module 151 and the touch pad are stacked on each other in the form of layers to form a touch screen, the display module 151 may serve as an input device and an output device. The display module 151 may include at least one of a Liquid Crystal Display (LCD), a thin film transistor LCD (TFT-LCD), an Organic Light Emitting Diode (OLED) display, a flexible display, a three-dimensional (3D) display, and the like. Some of these displays may be configured to be transparent to allow a user to view from the outside, which may be referred to as transparent displays, and a typical transparent display may be, for example, a TOLED (transparent organic light emitting diode) display or the like. The mobile terminal 100 may include two or more display modules (or other display devices) according to a particular desired implementation, for example, the mobile terminal may include an external display module (not shown) and an internal display module (not shown). The touch screen may be used to detect a touch input pressure as well as a touch input position and a touch input area.
The audio output module 152 may convert audio data received by the wireless communication unit 110 or stored in the memory 160 into an audio signal and output as sound when the mobile terminal is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output module 152 may provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output module 152 may include a speaker, a buzzer, and the like.
The alarm module 153 may provide an output to notify the mobile terminal 100 of the occurrence of an event. Typical events may include call reception, message reception, key signal input, touch input, and the like. In addition to audio or video output, the alarm module 153 may provide output in different ways to notify the occurrence of an event. For example, the alarm module 153 may provide an output in the form of a vibration, and when a call, a message, or some other incoming communication (incomingmunication) is received, the alarm module 153 may provide a tactile output (i.e., a vibration) to inform the user thereof. By providing such a tactile output, the user can recognize the occurrence of various events even when the user's mobile phone is in the user's pocket. The alarm module 153 may also provide an output notifying the occurrence of an event via the display module 151 or the audio output module 152.
The memory 160 may store software programs and the like for processing and controlling operations performed by the controller 180, or may temporarily store data (e.g., a phonebook, messages, still images, videos, and the like) that has been or will be output. Also, the memory 160 may store data regarding various ways of vibration and audio signals output when a touch is applied to the touch screen.
The memory 160 may include at least one type of storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. Also, the mobile terminal 100 may cooperate with a network storage device that performs a storage function of the memory 160 through a network connection.
The controller 180 generally controls the overall operation of the mobile terminal. For example, the controller 180 performs control and processing related to voice calls, data communications, video calls, and the like. In addition, the controller 180 may include a multimedia module 1810 for reproducing (or playing back) multimedia data, and the multimedia module 181 may be constructed within the controller 180 or may be constructed separately from the controller 180. The controller 180 may perform a pattern recognition process to recognize a handwriting input or a picture drawing input performed on the touch screen as a character or an image.
The power supply unit 190 receives external power or internal power and provides appropriate power required to operate various elements and components under the control of the controller 180.
The various embodiments described herein may be implemented in a computer-readable medium using, for example, computer software, hardware, or any combination thereof. For a hardware implementation, the embodiments described herein may be implemented using at least one of 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 processor, a controller, a microcontroller, a microprocessor, an electronic unit designed to perform the functions described herein, and in some cases, such embodiments may be implemented in the controller 180. For a software implementation, the implementation such as a process or a function may be implemented with a separate software module that allows performing at least one function or operation. The software codes may be implemented by software applications (or programs) written in any suitable programming language, which may be stored in the memory 160 and executed by the controller 180.
Up to this point, mobile terminals have been described in terms of their functionality. Hereinafter, a slide-type mobile terminal among various types of mobile terminals, such as a folder-type, bar-type, swing-type, slide-type mobile terminal, and the like, will be described as an example for the sake of brevity. Accordingly, the present invention can be applied to any type of mobile terminal, and is not limited to a slide type mobile terminal.
The mobile terminal 100 as shown in fig. 1 may be configured to operate with communication systems such as wired and wireless communication systems and satellite-based communication systems that transmit data via frames or packets.
A communication system in which a mobile terminal according to the present invention is operable will now be described with reference to fig. 2.
Such communication systems may use different air interfaces and/or physical layers. For example, the air interface used by the communication system includes, for example, Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Universal Mobile Telecommunications System (UMTS) (in particular, Long Term Evolution (LTE)), global system for mobile communications (GSM), and the like. By way of non-limiting example, the following description relates to a CDMA communication system, but such teachings are equally applicable to other types of systems.
Referring to fig. 2, the CDMA wireless communication system may include a plurality of mobile terminals 100, a plurality of Base Stations (BSs) 270, Base Station Controllers (BSCs) 275, and a Mobile Switching Center (MSC) 280. The MSC280 is configured to interface with a Public Switched Telephone Network (PSTN) 290. The MSC280 is also configured to interface with a BSC275, which may be coupled to the base station 270 via a backhaul. The backhaul may be constructed according to any of several known interfaces including, for example, E1/T1, ATM, IP, PPP, frame Relay, HDSL, ADSL, or xDSL. It will be understood that a system as shown in fig. 2 may include multiple BSCs 2750.
Each BS270 may serve one or more sectors (or regions), each sector covered by a multi-directional antenna or an antenna pointing in a particular direction being radially distant from the BS 270. Alternatively, each partition may be covered by two or more antennas for diversity reception. Each BS270 may be configured to support multiple frequency allocations, with each frequency allocation having a particular frequency spectrum (e.g., 1.25MHz,5MHz, etc.).
The intersection of partitions with frequency allocations may be referred to as a CDMA channel. The BS270 may also be referred to as a Base Transceiver Subsystem (BTS) or other equivalent terminology. In such a case, the term "base station" may be used to generically refer to a single BSC275 and at least one BS 270. The base stations may also be referred to as "cells". Alternatively, each sector of a particular BS270 may be referred to as a plurality of cell sites.
As shown in fig. 2, a Broadcast Transmitter (BT)295 transmits a broadcast signal to the mobile terminal 100 operating within the system. A broadcast receiving module 111 as shown in fig. 1 is provided at the mobile terminal 100 to receive a broadcast signal transmitted by the BT 295. In fig. 2, several Global Positioning System (GPS) satellites 300 are shown. The satellite 300 assists in locating at least one of the plurality of mobile terminals 100.
In fig. 2, a plurality of satellites 300 are depicted, but it is understood that useful positioning information may be obtained with any number of satellites. The GPS module 115 as shown in fig. 1 is generally configured to cooperate with satellites 300 to obtain desired positioning information. Other techniques that can track the location of the mobile terminal may be used instead of or in addition to GPS tracking techniques. In addition, at least one GPS satellite 300 may selectively or additionally process satellite DMB transmission.
As a typical operation of the wireless communication system, the BS270 receives reverse link signals from various mobile terminals 100. The mobile terminal 100 is generally engaged in conversations, messaging, and other types of communications. Each reverse link signal received by a particular base station 270 is processed within the particular BS 270. The obtained data is forwarded to the associated BSC 275. The BSC provides call resource allocation and mobility management functions including coordination of soft handoff procedures between BSs 270. The BSCs 275 also route the received data to the MSC280, which provides additional routing services for interfacing with the PSTN 290. Similarly, the PSTN290 interfaces with the MSC280, the MSC interfaces with the BSCs 275, and the BSCs 275 accordingly control the BS270 to transmit forward link signals to the mobile terminal 100.
Based on the above mobile terminal hardware structure and communication system, various embodiments of the method for automatically feeding back information of the present invention are provided.
Please refer to fig. 3A, which is a flowchart illustrating a method of automatic information feedback according to a first embodiment of the present invention, wherein the method includes the following steps:
s11: and receiving the information request, and extracting a target keyword of the information request.
In the information consultation, a user terminal sends an information request to a server, generally speaking, the information request at least comprises a keyword for describing a request target, and the server extracts the target keyword in the information request after receiving the information request.
S12: matching a keyword set to which a target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword and the keyword sets have no intersection.
As shown in fig. 3B, N sets of keywords are collected in the server (S1, S2, …, SN), where each set of keywords includes at least one keyword and there is no intersection between each set of keywords; further, a response set (RS1, RS2, …, RSN) corresponding to the N keyword sets is provided. Recorded in the response set is output feedback corresponding to the keyword set, so as to describe various feedback information requested by the user, such as operation instruction, after-sales service, and the like.
In the keyword sets, each keyword set is provided with a weight, and the weight is used for describing the frequency of the retrieval of the keyword set. Overall, the higher the frequency of the keyword set being retrieved, the greater the weight; for example, for an information request of a usage description of a certain software, the weight of the keyword set corresponding to the usage description of a common operation is higher because the degree of well-known is higher, and the operation is not basically consulted, so the weight of the keyword set corresponding to the common operation is lower; the keyword set corresponding to the use instruction of the advanced operation is low in known degree but has a certain use frequency, so that the weight of the keyword set corresponding to the use instruction of the advanced operation is high; if the uncommon operation is used in a few cases and the retrieval frequency is low, the weight of the keyword set corresponding to the uncommon operation is also low.
Meanwhile, an incidence relation exists among all the keyword sets. The strength of the association relationship is described through the correlation degree, if the keywords in the two keyword sets aim at two operations, the two operations have a highly correlated front and back sequence, the two operations are basically in front and back when the user operates, for example, the shortcut key is inquired, the copying operation and the pasting operation have strong front and back correlation, and the user generally inquires the shortcut key of the pasting operation after inquiring the shortcut key of the copying operation; at this time, it may be considered that the keyword set where the copy is located and the keyword set where the paste is located have high correlation, and the correlation between the two keyword sets is set to be high. In addition, the action relevance of the cut operation, the copy operation and the paste operation is high, and the query is also possible to be performed at the same time when the query is performed, but the relevance is slightly lower than the relevance between the copy operation and the relevant operation, and in this case, the relevance can be set between the keyword set where the cut is located and the keyword set where the paste is located, but is slightly lower than the relevance between the keyword set where the copy is located and the keyword set where the paste is located. Because the copy operation and the cut operation have a certain similarity, a more definite correlation can be set between the copy operation and the cut operation. The operation of page setting and the operation of pasting are generally two independent operations, the user basically cannot query the two operations at the same time, and the relevancy of the keyword set where the two operations are located can be set to be 0.
S13: when a plurality of keyword sets are matched, confirming a primary keyword set according to the weight of the keyword sets, and confirming at least one secondary keyword set according to the relevance of the plurality of keyword sets and the primary keyword set.
If only one keyword set is matched, that is, only one feedback result is fed back by single information, the feedback result is directly output as in the prior art.
If a plurality of keyword sets are matched, the output organization mode of the feedback result needs to be confirmed; firstly, the primary keyword set with the highest weight has more information requests corresponding to the primary keyword set, and the information requests corresponding to the primary keyword set are fed back and output; and the rest keyword sets are not output according to the weight sequence of the keyword sets, but are sequenced according to the relevance of the keyword sets, and at least one secondary keyword set is confirmed. If the matched keyword sets are only two, naturally, one keyword set is left as a secondary keyword set; if the number of the matched keyword sets is small, all the keyword sets except the primary keyword set can be used as secondary keyword sets; and if the number of the matched keyword sets is large and screening is needed, selecting the keyword sets with the preset number in the front order or the keyword sets with the relevancy reaching the preset threshold as secondary keyword sets.
S14: and reading and feeding back a response set corresponding to the primary keyword set and the secondary keyword set.
Each keyword set corresponds to a response set, and the response sets corresponding to the primary keyword set and the secondary keyword set are read and output according to primary and secondary sequencing.
According to the method for automatically feeding back the information, the associated keyword set is established, the weight of the keyword set is defined, the information feedback result is output according to the weight and the association degree in the information request process, the associated feedback is output as far as possible in a single information request, the request times in the information request and feedback process are reduced, the information feedback efficiency is improved, and the user experience is enhanced.
Please refer to fig. 4, which is a flowchart illustrating a second embodiment of a method for automatically feeding back information according to the present invention, wherein the method includes the following steps:
s21: and receiving the information request, and extracting a target keyword of the information request.
The information request can be sent in various ways, mainly social tool consultation and network consultation in general. The former such as various instant communication tools, various public accounts or official accounts; the latter being for example an official website or a client. The information request is sent from the user terminal through a wireless or wired network and finally collected to the server, and the server receives the information request and feeds back the information request, and simultaneously records the front and back association of the information request for data updating.
S22: matching a keyword set to which a target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword and the keyword sets have no intersection.
The keyword matching process is not further described herein.
S23: when a plurality of keyword sets are matched, confirming a primary keyword set according to the weight of the keyword sets, and confirming at least one secondary keyword set according to the relevance of the plurality of keyword sets and the primary keyword set.
If there are several key word sets outside the main key word set, the secondary key word set with the correlation reaching certain threshold is screened directly.
S24: and reading and feeding back a response set corresponding to the primary keyword set and the secondary keyword set.
The output of the response set can be that all the response sets are directly loaded in the webpage to directly output the webpage, and a plurality of webpage links can also be output for the user to select and receive.
When the keyword set comprises the geographic attribute keywords, the response set corresponding to the keyword set records geographic characteristic information.
The geographic attribute keywords refer to keywords related to address query, such as experience stores, service places, and the like, when feedback with geographic information, such as maps, traffic routes, and the like, is performed.
S25: the incidence matrix is updated after a single information request is completed.
The correlation degree between the keyword sets is recorded in a correlation matrix A, A of N x Nij＝NUM(Sj|Si) I is more than or equal to 1, and j is more than or equal to N; wherein N represents the number of the keyword set S, (S)j|Si) The main key word of the previous request operation in the two adjacent request operations of the single information request belongs to a key word set Si, and the main key word of the next request operation belongs to a key word set Sj; NUM (S)j|Si) Denotes (S)j|Si) The cumulative number of times of the operation.
In the scheme, the reason for emphasizing the two adjacent request operations of a single information request is to highlight the relevance of the corresponding keywords of the information request. For a single user, only multiple request operations for information requests of the same topic are considered to be associated operations. For example, a user makes an information request every other day, which should generally be regarded as two independent operations, and there is no context relationship between keywords generated by two information requests.
In the incidence matrix of N x N, in A, because the relevance of the keyword set and the keyword set is not counted, not all data in the incidence matrix is meaningful for the implementation of the scheme, wherein A isiiBut merely the structure for maintaining the correlation matrix.
S26: and modifying the weight of the matched keyword set into x + a.
Wherein x is the initial weight of the keyword set; and a is the sum of numerical values of corresponding columns of the keyword set in the incidence matrix. For example, a total of three sets S of keywords1、S2And S3The initial weight reuse array of the three keyword sets is denoted as (5,8, 9); the corresponding incidence matrix is:
then for set S2In other words, x is 8, a is 2+5+8 is 15, so S is2Should be 23 after the weight correction.
The more the number of times of query of the keyword set is, the higher the possibility of consultation is, the number of times of query is reflected to the weight of the keyword set, and when the corresponding information request is met, feedback output is preferentially carried out, so that the accuracy of information feedback is improved.
The implementation of the step S25 and the step S26 is equivalent to the implementation of self-learning of a consultation system, so that the information request of each user affects the self-attribute and the mutual relationship of the keyword set, the ecological structure of information feedback is dynamically adjusted under big data statistics, more accurate and comprehensive information feedback is provided, and the information request times of the user are reduced.
S27: periodically updating the keyword set; the initial weights and relevancy of the set of keywords are reset.
For a consultation system, a keyword set has certain timeliness, after a period of time, the keyword set may no longer have consultation significance, or a new keyword set and a response set are generated, and the keyword set needs to be updated; at the same time, the initial weights and relevancy of the keyword sets are reset. And restarting data training among the keyword set and the keyword set, and providing a latest information feedback structure.
In the method for automatically feeding back information of the embodiment, the associated keyword set is established, the weight of the keyword set is defined, the information feedback result is output according to the weight and the association degree in the information request process, the associated feedback is output as much as possible in a single information request, the request times in the information request and feedback process are reduced, the information feedback efficiency is improved, and the user experience is enhanced; meanwhile, the accuracy and comprehensiveness of information feedback are improved by the design of the learning process of the correlation between the parameters of the keyword set and the keyword set in the information feedback, and multiple request operations of a user in the information request process are avoided.
The invention further provides a device for automatically feeding back information, which is applied to the mobile terminal. Based on the above hardware structure of the mobile terminal and the communication system, an embodiment of the apparatus for automatically feeding back information according to the present invention is provided.
Referring to fig. 5, it is a block diagram of a first embodiment of an apparatus for automatically feeding back information according to the present invention, as shown in the figure, the apparatus includes:
a receiving and extracting module 10, configured to receive an information request and extract a target keyword of the information request;
a keyword matching module 20, configured to match a keyword set to which a target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword, and the keyword sets have no intersection;
a set confirmation module 30, configured to, when multiple keyword sets are matched, confirm a primary keyword set according to weights of the keyword sets, and confirm at least one secondary keyword set according to relevance between the multiple keyword sets and the primary keyword set;
and the reading feedback module 40 is used for reading and feeding back the response sets corresponding to the primary keyword set and the secondary keyword set.
The device for automatically feeding back information of the embodiment defines the weight of the keyword set by establishing the associated keyword set, outputs the information feedback result according to the weight and the association degree in the information request process, outputs the associated feedback as much as possible in a single information request, reduces the request times in the information request and feedback process, improves the information feedback efficiency, and enhances the user experience.
Referring to fig. 6, which is a block diagram illustrating a second embodiment of an apparatus for automatically feeding back information according to the present invention, as shown in the figure, the apparatus for automatically feeding back information includes:
a receiving and extracting module 10, configured to receive an information request and extract a target keyword of the information request;
a keyword matching module 20, configured to match a keyword set to which a target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword, and the keyword sets have no intersection;
a set confirmation module 30, configured to, when multiple keyword sets are matched, confirm a primary keyword set according to weights of the keyword sets, and confirm at least one secondary keyword set according to relevance between the multiple keyword sets and the primary keyword set;
and the reading feedback module 40 is used for reading and feeding back the response sets corresponding to the primary keyword set and the secondary keyword set.
Wherein, the correlation degree among the keyword sets is recorded in a correlation matrix A, A of N x Nij＝NUM(Sj|Si),1≤i,j≤N；
Wherein N represents the number of the keyword set S, (S)j|Si) The primary key of the previous request operation in two adjacent request operations of a single information request belongs to the key set SiAnd the primary key of the next request operation belongs to the key set Sj；NUM(Sj|Si) Denotes (S)j|Si) The cumulative number of times of (a);
the device, still include:
and the incidence matrix updating module 50 is used for updating the incidence matrix after the single information request is completed.
Wherein the content of the first and second substances,
the device, still include:
a weight modification module 60, configured to modify the weight of the matched keyword set to x + a;
wherein x is the initial weight of the keyword set; and a is the sum of numerical values of corresponding columns of the keyword set in the incidence matrix.
Wherein, still include:
an update reset module 70 for periodically updating the set of keywords; the initial weights and relevancy of the set of keywords are reset.
When the keyword set comprises geographic attribute keywords, the response set corresponding to the keyword set records geographic characteristic information.
According to the device for automatically feeding back information, the associated keyword set is established, the weight of the keyword set is defined, the information feedback result is output according to the weight and the association degree in the information request process, the associated feedback is output as far as possible in a single information request, the request times in the information request and feedback process are reduced, the information feedback efficiency is improved, and the user experience is enhanced; meanwhile, the accuracy and comprehensiveness of information feedback are improved by the design of the learning process of the correlation between the parameters of the keyword set and the keyword set in the information feedback, and multiple request operations of a user in the information request process are avoided.
The device for automatically feeding back information and the method for automatically feeding back information provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments, and technical features in the method embodiments are correspondingly applicable in the device embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An apparatus for automatic information feedback, comprising:
the receiving and extracting module is used for receiving an information request and extracting a target keyword of the information request;
the keyword matching module is used for matching a keyword set to which the target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword, and the keyword sets have no intersection;
the set confirmation module is used for confirming a primary keyword set according to the weight of the keyword set when a plurality of keyword sets are matched, and confirming at least one secondary keyword set according to the relevance of the plurality of keyword sets and the primary keyword set;
and the reading feedback module is used for reading and feeding back the response sets corresponding to the primary keyword set and the secondary keyword set.
2. The apparatus of claim 1, wherein the correlation degree between the keyword sets is recorded in a N x N association matrix a, aij＝NUM(Sj|Si),1≤i,j≤N；
Wherein N represents the number of the keyword set S, (S)j|Si) The primary key of the previous request operation in two adjacent request operations of a single information request belongs to the key set SiAnd the primary key of the next request operation belongs to the key set Sj；NUM(Sj|Si) Denotes (S)j|Si) The cumulative number of times of (a);
the device, still include:
and the incidence matrix updating module is used for updating the incidence matrix after the single information request is completed.
3. The apparatus of claim 2, further comprising:
the weight correction module is used for correcting the weight of the matched keyword set into x + a;
wherein x is the initial weight of the keyword set; and a is the sum of numerical values of corresponding columns of the keyword set in the incidence matrix.
4. The apparatus of claim 1, further comprising:
the updating and resetting module is used for periodically updating the keyword set; the initial weights and relevancy of the set of keywords are reset.
5. The apparatus according to claim 1, wherein when the keyword set includes a geographic attribute keyword, a response set corresponding to the keyword set records geographic feature information.
6. A method for automatic information feedback, comprising:
receiving an information request, and extracting a target keyword of the information request;
matching a keyword set to which the target keyword belongs from a pre-stored keyword set; the keyword sets comprise at least one keyword, and the keyword sets have no intersection;
when a plurality of keyword sets are matched, confirming a primary keyword set according to the weight of the keyword set, and confirming at least one secondary keyword set according to the relevance of the plurality of keyword sets and the primary keyword set;
and reading and feeding back a response set corresponding to the primary keyword set and the secondary keyword set.
7. According to claim 6The method as described above, characterized in that the correlation degree between said keyword sets is recorded in N x N association matrix a, aij＝NUM(Sj|Si),1≤i,j≤N；
Wherein N represents the number of the keyword set S, (S)j|Si) The primary key of the previous request operation in two adjacent request operations of a single information request belongs to the key set SiAnd the primary key of the next request operation belongs to the key set Sj；NUM(Sj|Si) Denotes (S)j|Si) The cumulative number of times of (a);
the method further comprises the following steps:
and updating the incidence matrix after the single information request is completed.
8. The method of claim 7, further comprising:
correcting the weight of the matched keyword set into x + a;
wherein x is the initial weight of the keyword set; and a is the sum of numerical values of corresponding columns of the keyword set in the incidence matrix.
9. The method of claim 6, further comprising:
periodically updating the keyword set; the initial weights and relevancy of the set of keywords are reset.
10. The method according to claim 6, wherein when the keyword set comprises a geographic attribute keyword, a response set corresponding to the keyword set is recorded with geographic feature information.
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| CN108595437B (en) * | 2018-05-04 | 2022-06-03 | 和美（深圳）信息技术股份有限公司 | Text query error correction method and device, computer equipment and storage medium |
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| CN112884512A (en) * | 2021-02-19 | 2021-06-01 | 深圳捷创电子科技有限公司 | Method, system, electronic equipment and storage medium for automatically feeding back customer complaint information |
| CN115002211B (en) * | 2022-07-28 | 2022-12-06 | 成都乐超人科技有限公司 | Method, device, equipment and medium for realizing after-sale micro-service based on cloud protogenesis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593206A (en) * | 2009-06-25 | 2009-12-02 | 腾讯科技（深圳）有限公司 | Searching method and device based on answer in the question and answer interaction platform |
| CN103038764A (en) * | 2010-04-14 | 2013-04-10 | 惠普发展公司，有限责任合伙企业 | Method for keyword extraction |
| CN103365899A (en) * | 2012-04-01 | 2013-10-23 | 腾讯科技（深圳）有限公司 | Question recommending method and question recommending system both in questions-and-answers community |
| CN104615646A (en) * | 2014-12-25 | 2015-05-13 | 上海科阅信息技术有限公司 | Intelligent chatting robot system |
| CN104699696A (en) * | 2013-12-05 | 2015-06-10 | 深圳市腾讯计算机系统有限公司 | File recommendation method and device |
-
2015
- 2015-09-29 CN CN201510631536.8A patent/CN105205159B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593206A (en) * | 2009-06-25 | 2009-12-02 | 腾讯科技（深圳）有限公司 | Searching method and device based on answer in the question and answer interaction platform |
| CN103038764A (en) * | 2010-04-14 | 2013-04-10 | 惠普发展公司，有限责任合伙企业 | Method for keyword extraction |
| CN103365899A (en) * | 2012-04-01 | 2013-10-23 | 腾讯科技（深圳）有限公司 | Question recommending method and question recommending system both in questions-and-answers community |
| CN104699696A (en) * | 2013-12-05 | 2015-06-10 | 深圳市腾讯计算机系统有限公司 | File recommendation method and device |
| CN104615646A (en) * | 2014-12-25 | 2015-05-13 | 上海科阅信息技术有限公司 | Intelligent chatting robot system |
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