CN111798285A - Information generation method and device - Google Patents
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Abstract
The embodiment of the application discloses an information generation method and device. One embodiment of the method comprises: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; determining a user identifier corresponding to the target answer as a target user identifier, and sending a first notification to a target terminal corresponding to the target user identifier, wherein the target terminal generates and displays a first notification display interface in response to receiving the first notification, and the first notification is used for indicating that the target answer meets a preset first condition. This embodiment provides a new way of information generation.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to an information generation method and device.
Background
With the development of computer technology and internet technology, users can obtain increasingly rich and diverse information through electronic equipment. On the other hand, the information that the item providing platform can provide is also increasingly diverse.
For example, a user may ask a question for an item. The item provisioning platform may distribute the problem to users who may have used the item. A user who may have used the item may provide an answer. The item-providing platform may return the received answers to the user who presented the question. Of course, the questions and answers may also be displayed on the display page of the article, so as to provide reference for a wider range of users.
Disclosure of Invention
The embodiment of the application provides an information generation method and device.
In a first aspect, an embodiment of the present application provides an information generating method, where the method includes: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; determining a user identifier corresponding to the target answer as a target user identifier, and sending a first notification to a target terminal corresponding to the target user identifier, wherein the target terminal generates and displays a first notification display interface in response to receiving the first notification, and the first notification is used for indicating that the target answer meets a preset first condition.
In a second aspect, an embodiment of the present application provides an information generating apparatus, including: the system comprises a selecting unit, a judging unit and a judging unit, wherein the selecting unit is configured to select an answer meeting a preset first condition from an answer set of a target question and determine the selected answer as the target answer, the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; the first sending unit is configured to determine a user identifier corresponding to the target answer as a target user identifier, and send a first notification to a target terminal corresponding to the target user identifier, where the target terminal generates and displays a first notification display interface in response to receiving the first notification, and the first notification is used to indicate that the target answer satisfies a preset first condition.
In a third aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device, on which one or more programs are stored, which, when executed by the one or more processors, cause the one or more processors to implement the method according to any one of the embodiments of the information generating method.
In a fourth aspect, the present application provides a computer-readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method of any one of the above-mentioned information generating methods.
In a fifth aspect, an embodiment of the present application provides an information display method, where the method includes: generating and displaying a first notification display interface in response to receiving a first notification, wherein the first notification is used for indicating that the target answer meets a preset first condition, and the first notification is generated by a server in the following manner: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; and determining the user identification corresponding to the target answer as a target user identification, and sending a first notice to a target terminal corresponding to the target user identification.
In a sixth aspect, an embodiment of the present application provides an information display apparatus, where the apparatus includes: a presentation module configured to generate and present a first notification presentation interface in response to receiving a first notification, where the first notification is used to indicate that the target answer satisfies a preset first condition, and the first notification is generated by a server by: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; and determining the user identification corresponding to the target answer as a target user identification, and sending a first notice to a target terminal corresponding to the target user identification.
In a seventh aspect, an embodiment of the present application provides an electronic device, including: one or more processors; the information presentation device comprises a storage device, one or more programs stored on the storage device, and the one or more programs, when executed by the one or more processors, enable the one or more processors to implement the method of any embodiment of the information presentation method.
In an eighth aspect, the present application provides a computer-readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method according to any one of the above information presentation methods.
According to the information generation method and the information generation device, answers meeting a preset first condition are selected from an answer set of a target question, and the selected answers are determined as target answers; then, sending a first notice to a terminal corresponding to a user giving a target answer; finally, the terminal can respond to the received first notice to generate and display a first notice display interface; thus, technical effects may include at least: new presentation information is provided.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of an information generation method according to the present application;
FIG. 3A is a schematic diagram of an application scenario of an information generation method according to the present application;
FIG. 3B is a schematic diagram of a first notification presentation interface in accordance with the application scenario of FIG. 3A;
FIG. 4 is a schematic view of a second communicative presentation interface in accordance with the present application;
FIG. 5 is an exemplary flow chart for generating a first sample set according to the present application;
FIG. 6 is a schematic block diagram of one embodiment of an information generating apparatus according to the present application;
FIG. 7 is a block diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the information generation method or information generation apparatus of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have various communication client applications installed thereon, such as a shopping application, a web browser application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, and 103 are hardware, they may be various electronic devices with a display screen, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg Audio Layer 4), laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may be a server providing various services, such as a background server supporting shopping-like applications on the terminal devices 101, 102, 103. The background server may analyze and perform other processing on the received data such as the data acquisition request, and feed back a processing result (for example, an answer corresponding to the question) to the terminal device.
The server 104 may be a server that provides various services. The server may provide the service in response to a service request of the user. It will be appreciated that one server may provide one or more services, and that the same service may be provided by multiple servers.
It should be noted that the information generation method provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the information generation apparatus is generally provided in the server 105.
It should be noted that the information displaying method provided in the embodiment of the present application is generally executed by the terminal devices 101, 102, and 103, and accordingly, the information displaying apparatus is generally disposed in the terminal devices 101, 102, and 103.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. When the electronic device on which the information generation method operates does not need to perform data transmission with other electronic devices, the system architecture may include only the electronic device on which the information generation method operates.
With continued reference to FIG. 2, a flow 200 of one embodiment of an information generation method according to the present application is shown. The information generation method comprises the following steps:
In this embodiment, an executing entity (for example, the server shown in fig. 1) of the information generating method may select an answer satisfying a preset first condition from an answer set of the target question, and determine the selected answer as the target answer.
Here, the preset first condition is used to determine whether the answer matches the target question.
Here, the specific content of the preset first condition may be set according to actual situations, and is not limited herein.
Here, the target question may be any question posed by the user. The answers in the answer set may be answers given by any user to the target question.
Here, the answers in the answer set correspond to user identifications. The user identifier corresponding to the answer may indicate the user who gave the answer.
Optionally, the target question corresponds to a target item identifier. The target problem may be a problem raised for the target item identification. The answers in the answer set are given by the user who purchased the target item.
In this embodiment, the execution main body may determine the user identifier corresponding to the target answer as a target user identifier, and send a first notification to a target terminal corresponding to the target user identifier.
Here, the target subscriber identity may correspond to one or at least two target terminals.
Here, the target terminal may generate and present a first notification presentation interface in response to receiving the first notification.
Here, the first notification may indicate that the target answer satisfies a preset first condition.
Here, the first notification presentation interface may be used to present the first notification. The presentation of the first notification may be the original content of the presentation of the first notification, may be the similar content of the presentation of the first notification, or may be information indicating the content of the first notification.
As an example, the first notification presentation interface may dynamically present a balloon image indicating the content of the first notification (the answer is scored as a valid answer).
As an example, the target terminal may generate a first notification presentation interface in response to receiving the first notification. The first notification presentation interface may provide the user with information that the target answer satisfies a preset first condition, for example, the target terminal may present a word of "your answer is evaluated as the best answer", and feedback the user about the relevant condition of the target answer.
Continuing to refer to fig. 3 is a schematic diagram of an application scenario of the information generation method according to the present embodiment. The method comprises the following specific steps:
first, a first user may use the first terminal 301 to send a target question 305 "is this shampoo good? ".
Then, the server 302 may transmit the target question 305 "is this shampoo good? ".
The second terminal may then return a second answer 306 "good" to the server given by the second user. The third terminal may return a third answer 307 "not used, not known" given by the third user.
Then, the server can determine the second answer and the third answer as an answer set of the target question; then, selecting an answer meeting a preset first condition from the answer set, for example, selecting a second answer "good for use"; then, the server may determine the second answer as the target answer.
The server may then send a first notification 308, such as a "valid answer," to a second terminal used by a second user who presented the target answer.
Finally, the terminal may generate and present a first notification presentation interface "your answer is rated as a valid answer" in response to receiving the first notification. As an example, please refer to fig. 3B, which shows an interface of the terminal presenting the first notification presentation interface, in which a typeface of "your answer is evaluated as a valid answer" may be included. The first notification presentation interface may further include the above-mentioned goal question "is this shampoo good? ", the second answer" good "and the third answer" not yet used, unknown ".
In the method shown in this embodiment, an answer meeting a preset first condition is selected from an answer set of a target question, and the selected answer is determined as a target answer; then, sending a first notice to a terminal corresponding to a user giving a target answer; finally, the terminal can respond to the received first notice to generate and display a first notice display interface; thus, technical effects may include at least:
first, new presentation information is provided.
Second, information can be fed back to the user in time. For a user giving a target answer, if the answer given by the user meets a first preset condition, the relevant condition of the target answer can be fed back to the user in time through the first notification and the first notification display interface. Furthermore, positive influence can be generated on the answers given by the participation of the user, and the participation degree of the user on the question and answer activities is improved.
In some embodiments, the method may further include: adjusting the authority value of the predefined authority corresponding to the target user identification; and sending a second notification to the target terminal.
Here, the second notification is for indicating an adjustment of the authority value of the predefined authority.
In this embodiment, the privilege (privilege) may refer to that the user has a specific system resource usage right.
Optionally, the system resources may include at least one of, but are not limited to: bandwidth, traffic, storage space, or transaction amount.
In general, different permissions can be set for different users according to the usage of a specific resource, and the system software automatically executes the permissions corresponding to the users.
In this embodiment, the authority value may be used to characterize the authority range.
As an example, a user may use a predetermined number range of bandwidth, traffic, storage space, or transaction amounts, with non-compliance being limited. Different ranges of numbers may be represented by different values of authority.
Here, the target terminal may generate and display a second notification display interface in response to receiving the second notification. The second notification display interface is used for displaying a second notification.
Referring to fig. 4, a schematic diagram of the terminal displaying the second notification display interface is shown. The permissions may be that the user may use 500 mega (M) of traffic per month. The permission adjustment mode can be to increase the flow rate which can be used by the user every month by 100M. The authority adjustment information as the second notification may include "monthly traffic increase 100M". Thus, the second notification presentation interface may include the wording "monthly flow increase 100M". As an example, the second notification display interface may also include the above-mentioned goal question "is this shampoo good? ", the second answer" good use ", the third answer" not yet used, not known ", and a first notice" your answer is evaluated as a valid answer ".
In some embodiments, depending on the adjusted authority value, the performing may perform at least one of, but is not limited to: pushing information and controlling the access of a user to preset resources.
It should be noted that the permission value of the predefined permission can be used in various scenarios for serving the user, for example, pushing information to the user, limiting the user's access, and the like. The re-determined authority value refers to more comprehensive reference information, so that the safety and the accuracy of the system can be improved in the process of serving the user by using the re-determined authority value.
In some embodiments, the target issue corresponds to a target item identification, which corresponds to a set of issues.
In some embodiments, the method may further include: generating a user identification set by taking the user identification of the user who proposes the problem in the problem set as a set element; and establishing an online communication group according to the user identification set.
It should be noted that, a user who presents a problem with the same item may have a requirement for communicating with the item, and therefore, an online communication group is established for the user who presents a problem with the target item, a communication platform is provided, and information interaction can be conveniently performed by the user.
In some embodiments, the interface on the terminal that presents the above-described on-line communication group includes a spelling control. And the order-splicing control piece is used for triggering the terminal to send an order-splicing request. The order request can include an online communication group identification.
It can be understood that the control may be an interface element, and is used to detect a user operation and obtain operation information of the user, so that the terminal may obtain the operation information.
Typically, a user in an online communication group may trigger a tile control. The terminal can send a order-sharing request to the execution main body in response to detecting that the order-sharing control is triggered.
In some embodiments, the method may further include: responding to the received order-splicing request, and determining whether the order-splicing initiated by the order-splicing request is established or not; in response to determining the above-mentioned spelling singles are established, sending a spelling singles establishment notification.
In some embodiments, the execution subject may determine whether the order form initiated by the flat request is established by using a preset second condition. The specific content of the preset second condition may be set according to an actual situation, and is not limited herein.
As an example, the preset second condition may include, but is not limited to, at least one of: the number of people sending the order-combining request is larger than a preset number threshold; the stock of the sent target article identifier is larger than a preset stock threshold; the proportion of the number of people sending the order-sharing request in the online communication group is larger than a preset proportion threshold value.
Here, the execution agent may send a spelling single establishment notification to a terminal used by a user in the on-line communication group.
It should be noted that, the order-making control is arranged in the interface of the on-line conclusion group, so that the user can be provided with a choice for initiating an order-making. Therefore, on one hand, the on-line communication group established on the basis of the target object has the requirement of initiating the order splicing for the target object, so that a user can conveniently and quickly find the on-line organization to splice the order; on the other hand, a plurality of users can initiate the order spelling aiming at the target object and check whether the order spelling is successful or not, so that the users can conveniently realize the order spelling.
In some embodiments, the preset first condition may include, but is not limited to, at least one of: predefining feedback information greater than a preset number threshold; the answer is output by the judgment model.
Here, the predefined feedback information may be feedback information of any user with respect to the answer.
As an example, a like control may be presented in association with the answer, and any user-triggered like control may generate predefined feedback information. The terminal may send predefined feedback information to the server.
It should be noted that, the answer is selected by using the predefined feedback information, and the judgment of the user on the answer can be fully utilized to select the answer by collecting the opinions of the user.
Here, the above judgment model output includes a question and answer set. The output of the judgment model is the answer selected from the answer set.
It is understood that the judgment model may select an answer from the answer set and output the selected answer for the question.
It should be noted that, the answer selection using the judgment model may provide for the answer selection without the help of user feedback.
In some embodiments, the above judgment model may be obtained by: acquiring a first sample set; and training the first initial model by using the first sample set to obtain a judgment model.
Here, the first initial model may be of various structures, and by way of example, the first initial model may include, but is not limited to: convolutional neural networks, cyclic neural networks, and the like.
In some embodiments, the first initial model may include a feature extraction layer, an output layer, and at least one of: a Factorization Machine (FM) and a convolutional neural network. Here, the output of the feature extraction layer is connected with the input of the factorization machine and/or the input of the convolutional neural network; the output of the factorizer and/or the output of the convolutional neural network is connected to the input of the output layer.
As an example, the input of the feature extraction layer is a first question vector and a first answer vector, and the output of the feature extraction layer is a second question vector and a second answer vector; the second question vector and the second answer vector may be directed to a factorizer and/or a convolutional neural network; the output of the factoring machine is the second question vector and the third answer vector, and/or the output of the convolutional neural network is the second question vector and the fourth answer vector.
As an example, if the first initial model includes a factorization machine and a convolutional neural network, the third answer vector and the fourth answer vector may be spliced to be a fifth answer vector, and the fifth answer vector and the second question vector are input to the output layer, and the output layer outputs an answer identifier corresponding to one of the first answer vectors input to the feature input layer.
Here, the number of the first answer vectors may be one or at least two.
It can be understood that the factorization machine and the convolutional neural network can be trained jointly or separately; can be used in combination or separately.
Here, the first sample in the first sample set may include a first training question and a first training answer set, the first training question being associated with a first labeled answer, and the first training answer set including the first labeled answer.
As an example, the training process of the first initial model is briefly as follows: and importing the first training question and the first training answer set in the first sample into a first initial model, and outputting the answer by the first initial model. And comparing the answer output by the first initial model with the first labeled answer. If the comparison result indicates inconsistency, adjusting parameters in the first initial model; if the comparison result indicates agreement, the parameters in the first initial model are not adjusted.
In some embodiments, the feature extraction layer may include word segmentation, and when the word segmentation is performed, a specified word bank may be used, where the specified word bank may be a word bank provided by an online object interaction scenario. Therefore, word segmentation can be more accurate.
In some embodiments, the feature extraction layer may use a sliding window, and the length of the sliding window may be set according to actual conditions. Therefore, the context can be referred to, and the accuracy of feature extraction can be improved.
In some embodiments, please refer to fig. 5, which illustrates an exemplary generation flow 500 of the first sample. The process 500 may include:
Here, the second sample may include a second training question and a second use answer set, the second training answer being associated with the second labeled answer.
Here, the second annotation answer is annotated by a human.
Here, the sample classification model is used to characterize the relationship between both the question and the answer and the degree of matching.
That is, the input of the sample classification model includes a question and an answer, and the output of the sample classification model is a degree of matching between the question and the answer.
Here, the second initial model may be of various structures, and by way of example, the second initial model may include, but is not limited to: convolutional neural networks, cyclic neural networks, and the like.
Here, the third sample may include a third question and a third answer set. It is to be appreciated that the third question in the third sample, no associated answers, are associated. The third sample may be a sample that needs to be labeled.
In some embodiments, a third answer greater than a preset first matching degree threshold may be selected to generate a positive sample; a third answer that is less than a preset second matching degree threshold may be selected to generate a negative sample. The first threshold of degree of match may be greater than the second threshold of degree of match.
And 505, generating a first sample set based on the fourth sample.
The sample classification model is trained according to the second sample labeled manually; and introducing the third sample which is not labeled into the sample classification model, selecting a third answer from a third answer set of the third sample according to the matching degree given by the sample classification model, and reducing the number of the selected third answers relative to the number of the answer sets, wherein the answers in each fourth sample are correspondingly reduced. Therefore, the invalid data volume of the fourth sample can be reduced, and the training speed and the training accuracy can be improved by adopting the first sample set generated based on the fourth sample for training.
In some embodiments, the determined one or more fourth samples may be determined as the first set of samples.
In some embodiments, step 505 may include: sending the fourth sample to a labeling terminal, wherein the labeling terminal is a terminal used by a labeling person, and the labeling terminal returns a fifth sample selected from the fourth sample by the labeling person; and determining the second sample set and the received fifth sample as the first sample set.
It should be noted that, the fourth sample screened by the sample classification model is sent to the labeling terminal, so that on one hand, a labeling person can select the fourth sample, and the accuracy of the selected sample is improved; on the other hand, the answers in the screened fourth sample are greatly reduced compared with those in the third sample, and the workload of the labeling personnel can be reduced. Thereby, a large number of labeled training samples can be obtained in a short time.
With further reference to fig. 6, as an implementation of the method shown in the above-mentioned figures, the present application provides an embodiment of an information generating apparatus, which corresponds to the embodiment of the method shown in fig. 2, and which can be applied in various electronic devices.
As shown in fig. 6, the information generating apparatus 600 of the present embodiment includes: a selecting unit 601 and a first sending unit 602. The system comprises a selecting unit, a judging unit and a judging unit, wherein the selecting unit is configured to select an answer meeting a preset first condition from an answer set of a target question and determine the selected answer as the target answer, the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; the first sending unit is configured to determine a user identifier corresponding to the target answer as a target user identifier, and send a first notification to a target terminal corresponding to the target user identifier, where the target terminal generates and displays a first notification display interface in response to receiving the first notification, and the first notification is used to indicate that the target answer satisfies a preset first condition.
In this embodiment, specific processing and technical effects thereof by the selecting unit 601 and the first sending unit 602 of the information generating apparatus 600 can refer to related descriptions of step 201 and step 202 in the corresponding embodiment of fig. 2, which are not described herein again.
In some embodiments, the apparatus comprises: the adjusting unit is configured to adjust the authority value of the predefined authority corresponding to the target user identification; and a second sending unit configured to send a second notification to the target terminal, wherein the target terminal generates and displays a second notification display interface in response to receiving the second notification, and the second notification is used for indicating the adjustment of the right value.
In some embodiments, the target issue corresponds to a target item identification, the target item identification corresponding to an issue set; and the above apparatus further comprises: a generating unit configured to generate a set of user identifications by using, as set elements, user identifications of users who have posed a question in the question set; and the establishing unit is configured to establish an online communication group according to the user identification set.
In some embodiments, the interface on the terminal for displaying the online communication group includes a sheet-combining control, and the sheet-combining control is used for triggering the terminal to send a sheet-combining request; and the above apparatus further comprises: the determining unit is configured to respond to the received order-splicing request and determine whether the order-splicing initiated by the order-splicing request is established or not; a return unit configured to return a spelling single establishment notification in response to determining that the above-mentioned spelling single is established.
In some embodiments, the preset first condition comprises at least one of: the number of the predefined feedback information is larger than an information number threshold value, wherein the predefined feedback information is feedback information of the user for the answer; the answer is output by a judgment model, wherein the input of the judgment model comprises a question and an answer set, and the output of the judgment model is an answer selected from the answer set.
In some embodiments, the above-mentioned judgment model is obtained by: obtaining a first sample set, wherein the first sample includes a first training question and a first training answer set, the first training question is associated with a first labeled answer, and the first training answer set includes the first labeled answer; and training the first initial model by using the first sample set to obtain the judgment model.
In some embodiments, the first set of samples is generated by: acquiring a second sample set, wherein the second sample set comprises a second training question and a second training answer set, the second training question is associated with a second labeling answer, and the second labeling answer is manually labeled; training a second initial model by using the second sample set to obtain a sample classification model, wherein the sample classification model is used for representing the corresponding relation between the question and the answer and the matching degree; acquiring a third sample set, introducing the third sample set into the sample classification model, and generating a matching degree between a question and each answer, wherein the third sample comprises a third question and a third answer set; according to the matching degree, selecting a third answer from the answer set of the third sample, and determining the selected third answer and the question in the third sample as a fourth sample; based on the fourth sample, the first set of samples is generated.
In some embodiments, the generating the first set of samples based on the fourth sample includes: sending the fourth sample to a labeling terminal, wherein the labeling terminal is a terminal used by a labeling person, and the labeling terminal returns a fifth sample selected from the fourth sample by the labeling person; and determining the second sample set and the received fifth sample as the first sample set.
In some embodiments, the first initial model comprises a feature extraction layer, an output layer, and at least one of: a factorizer and a convolutional neural network; wherein, the output of the characteristic extraction layer is connected with the input of the factorization machine and/or the input of the convolutional neural network; the output of the factorizer and/or the output of the convolutional neural network is connected to the input of the output layer.
An embodiment of the present application provides an information display method, including: generating and displaying a first notification display interface in response to receiving a first notification, wherein the first notification is used for indicating that the target answer meets a preset first condition, and the first notification is generated by a server in the following manner: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; and determining the user identification corresponding to the target answer as a target user identification, and sending a first notice to a target terminal corresponding to the target user identification.
An embodiment of the present application provides an information display apparatus, including: a presentation module configured to generate and present a first notification presentation interface in response to receiving a first notification, where the first notification is used to indicate that the target answer satisfies a preset first condition, and the first notification is generated by a server by: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; and determining the user identification corresponding to the target answer as a target user identification, and sending a first notice to a target terminal corresponding to the target user identification.
It should be noted that details and technical effects of the information displaying method and the information displaying apparatus can refer to descriptions of other parts in this application, and are not described herein again.
Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, the computer system 700 includes a processor (e.g., a central processing unit CPU)701, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 706 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An Input/Output (I/O) interface 705 is also connected to the bus 704.
The following components are connected to the I/O interface 705: a storage portion 706 including a hard disk and the like; and a communication section 707 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 707 performs communication processing via a network such as the internet. A drive 708 is also connected to the I/O interface 705 as needed. A removable medium 709 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 708 as necessary, so that a computer program read out therefrom is mounted into the storage section 706 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 707 and/or installed from the removable medium 709. The computer program, when executed by the processor 701, performs the above-described functions defined in the method of the present application. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a selecting unit and a first transmitting unit. Where the names of these units do not in some cases constitute a limitation on the unit itself, for example, a selection unit may also be described as a "unit for selecting an answer".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; determining a user identifier corresponding to the target answer as a target user identifier, and sending a first notification to a target terminal corresponding to the target user identifier, wherein the target terminal generates and displays a first notification display interface in response to receiving the first notification, and the first notification is used for indicating that the target answer meets a preset first condition.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: generating and displaying a first notification display interface in response to receiving a first notification, wherein the first notification is used for indicating that the target answer meets a preset first condition, and the first notification is generated by a server in the following manner: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; and determining the user identification corresponding to the target answer as a target user identification, and sending a first notice to a target terminal corresponding to the target user identification.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (13)
1. An information generating method, comprising:
selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier;
determining a user identifier corresponding to the target answer as a target user identifier, and sending a first notification to a target terminal corresponding to the target user identifier, wherein the target terminal generates and displays a first notification display interface in response to receiving the first notification, and the first notification is used for indicating that the target answer meets a preset first condition.
2. The method of claim 1, wherein the method comprises:
adjusting the authority value of the predefined authority corresponding to the target user identification;
and sending a second notification to the target terminal, wherein the target terminal generates and displays a second notification display interface in response to receiving the second notification, and the second notification is used for indicating the adjustment of the authority value.
3. The method of claim 1, wherein the target issue corresponds to a target item identification corresponding to an issue set; and
the method further comprises the following steps:
generating a user identification set by taking the user identification of the user who proposes the problem in the problem set as a set element;
and establishing an online communication group according to the user identification set.
4. The method of claim 3, wherein the interface on the terminal showing the online communication group comprises a spelling control for triggering the terminal to send a spelling request; and
the method further comprises the following steps:
in response to receiving a request for order assembly, determining whether the order assembly initiated by the request for order assembly is established;
in response to determining that the tile is established, returning a tile establishment notification.
5. The method according to any one of claims 1-4, wherein the preset first condition comprises at least one of:
the number of the predefined feedback information is larger than an information number threshold value, wherein the predefined feedback information is feedback information of the user for the answer;
the answer is output by a judgment model, wherein the input of the judgment model comprises a question and an answer set, and the output of the judgment model is an answer selected from the answer set.
6. The method of claim 5, wherein the judgment model is obtained by:
obtaining a first sample set, wherein the first sample comprises a first question for training and a first answer set for training, the first question for training is associated with a first labeled answer, and the first answer set for training comprises the first labeled answer;
and training a first initial model by using the first sample set to obtain the judgment model.
7. The method of claim 6, wherein the first set of samples is generated by:
acquiring a second sample set, wherein the second sample set comprises a second training question and a second training answer set, the second training question is associated with a second labeling answer, and the second labeling answer is manually labeled;
training a second initial model by using the second sample set to obtain a sample classification model, wherein the sample classification model is used for representing the corresponding relation between the question and the answer and the matching degree;
acquiring a third sample set, introducing the third sample set into the sample classification model, and generating matching degrees of the questions and the answers, wherein the third sample comprises a third question and a third answer set;
according to the matching degree, selecting a third answer from a third answer set of a third sample, and determining the selected third answer and the question in the third sample as a fourth sample;
based on the fourth sample, the first set of samples is generated.
8. The method of claim 7, wherein the generating the first set of samples based on the fourth sample comprises:
sending the fourth sample to a labeling terminal, wherein the labeling terminal is a terminal used by a labeling person, and the labeling terminal returns a fifth sample selected from the fourth sample by the labeling person;
determining the second set of samples and the received fifth sample as the first set of samples.
9. The method of claim 6, wherein the first initial model comprises a feature extraction layer, an output layer, and at least one of: a factorizer and a convolutional neural network; wherein, the output of the characteristic extraction layer is connected with the input of the factorization machine and/or the input of the convolutional neural network; the output of the factorizer and/or the output of the convolutional neural network is connected to the input of the output layer.
10. An information generating apparatus comprising:
the system comprises a selecting unit, a judging unit and a judging unit, wherein the selecting unit is configured to select an answer meeting a preset first condition from an answer set of a target question and determine the selected answer as the target answer, the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier;
the first sending unit is configured to determine a user identifier corresponding to the target answer as a target user identifier, and send a first notification to a target terminal corresponding to the target user identifier, wherein the target terminal generates and displays a first notification display interface in response to receiving the first notification, and the first notification is used for indicating that the target answer meets a preset first condition.
11. An information display method, comprising:
in response to receiving a first notification, generating and displaying a first notification display interface, wherein the first notification is used for indicating that the target answer meets a preset first condition, and the first notification is generated by a server in the following manner: selecting an answer meeting a preset first condition from an answer set of a target question, and determining the selected answer as the target answer, wherein the preset first condition is used for judging whether the answer is matched with the target question or not, and the answer in the answer set corresponds to a user identifier; and determining the user identification corresponding to the target answer as a target user identification, and sending a first notice to a target terminal corresponding to the target user identification.
12. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-9 or the method of claim 11.
13. A computer readable medium, having a computer program stored thereon, wherein the program, when executed by a processor, implements the method of any one of claims 1-9 or the method of claim 11.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1794233A (en) * | 2005-12-28 | 2006-06-28 | 刘文印 | Network user interactive asking answering method and its system |
| US8504418B1 (en) * | 2012-07-19 | 2013-08-06 | Benjamin P. Dimock | Incenting answer quality |
| CN104166707A (en) * | 2014-08-08 | 2014-11-26 | 百度在线网络技术（北京）有限公司 | Search recommendation method and device |
| CN108335144A (en) * | 2018-02-12 | 2018-07-27 | 广州华多网络科技有限公司 | Show the methods, devices and systems of application program |
| CN108391159A (en) * | 2018-02-07 | 2018-08-10 | 北京密境和风科技有限公司 | Interactive live broadcasting method, client, server and system |
| CN109064180A (en) * | 2018-07-13 | 2018-12-21 | 广州神马移动信息科技有限公司 | Comment on method, apparatus and terminal device |
| CN109472305A (en) * | 2018-10-31 | 2019-03-15 | 国信优易数据有限公司 | Answer quality determines model training method, answer quality determination method and device |
| CN110209786A (en) * | 2019-05-28 | 2019-09-06 | 北京百度网讯科技有限公司 | It is display methods, device, computer equipment and the storage medium of non-class answer |
-
2019
- 2019-09-30 CN CN201910940197.XA patent/CN111798285A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1794233A (en) * | 2005-12-28 | 2006-06-28 | 刘文印 | Network user interactive asking answering method and its system |
| US8504418B1 (en) * | 2012-07-19 | 2013-08-06 | Benjamin P. Dimock | Incenting answer quality |
| CN104166707A (en) * | 2014-08-08 | 2014-11-26 | 百度在线网络技术（北京）有限公司 | Search recommendation method and device |
| CN108391159A (en) * | 2018-02-07 | 2018-08-10 | 北京密境和风科技有限公司 | Interactive live broadcasting method, client, server and system |
| CN108335144A (en) * | 2018-02-12 | 2018-07-27 | 广州华多网络科技有限公司 | Show the methods, devices and systems of application program |
| CN109064180A (en) * | 2018-07-13 | 2018-12-21 | 广州神马移动信息科技有限公司 | Comment on method, apparatus and terminal device |
| CN109472305A (en) * | 2018-10-31 | 2019-03-15 | 国信优易数据有限公司 | Answer quality determines model training method, answer quality determination method and device |
| CN110209786A (en) * | 2019-05-28 | 2019-09-06 | 北京百度网讯科技有限公司 | It is display methods, device, computer equipment and the storage medium of non-class answer |
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