CN110245964A - Information-pushing method and device and storage medium - Google Patents
Information-pushing method and device and storage medium Download PDFInfo
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- CN110245964A CN110245964A CN201910519414.8A CN201910519414A CN110245964A CN 110245964 A CN110245964 A CN 110245964A CN 201910519414 A CN201910519414 A CN 201910519414A CN 110245964 A CN110245964 A CN 110245964A
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Abstract
The embodiment of the present disclosure discloses a kind of information-pushing method and device and storage medium, this method comprises: obtaining the characteristic information of the first object;Based on the characteristic information, target group belonging to first object is obtained, wherein the target group includes multiple first objects, and the target group and the second object have pre-established related information;Pushed information is generated based on first object and the related information, and the pushed information is pushed into terminal, wherein second object obtains the pushed information by the terminal.Using the embodiment of the present disclosure, user can be allowed to obtain the visiting prompting and the relevant information of the first object of the first object in time.
Description
Technical Field
The present disclosure relates to the field of computer vision, and in particular, to an information pushing method and apparatus, and a storage medium.
Background
In many instances, customer care takers are required to receive the customer. For example, a customer receptionist at a building department needs to receive a visit to a house customer, a clerk at a clothing store needs to receive a customer who purchases clothing, a clerk at a car 4S store needs to receive a car purchaser, and so on. Sometimes, the customer reception staff does not remember the customers who have received the sales service, or the customer reception staff does not know the arrival of the customers in time, which leads to the failure of the subsequent sales service.
Disclosure of Invention
The embodiment of the disclosure provides an information pushing technology.
In a first aspect, an information push method is disclosed, comprising;
acquiring characteristic information of a first object;
obtaining a target group to which the first object belongs based on the characteristic information, wherein the target group comprises a plurality of first objects, and association information is established between the target group and a second object in advance;
and generating push information based on the first object and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, the obtaining, based on the feature information, a target group to which the first object belongs includes:
searching an identity corresponding to the characteristic information based on the characteristic information;
and analyzing the target group to which the identity belongs.
In a possible implementation manner, the obtaining, based on the feature information, a target group to which the first object belongs includes:
analyzing a label corresponding to a first object in the target group; each object in the target group is provided with a tag;
the generating push information based on the first object and the associated information and pushing the push information to a terminal, wherein the second object obtains the push information through the terminal and includes: generating push information based on the first object, the first label and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, the generating push information based on the first object and the association information, and pushing the push information to a terminal, where the acquiring, by the second object, the push information by the terminal includes:
inquiring first requirement information corresponding to the first object in the target group, and obtaining first recommended content according to the first requirement information;
generating push information based on the first object, the first recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, the generating push information based on the first object and the association information, and pushing the push information to a terminal, where the acquiring, by the second object, the push information by the terminal includes:
inquiring first requirement information corresponding to the first object in the target group, and obtaining first recommended content according to the first requirement information;
inquiring first visiting information corresponding to the first object in the target group, and obtaining second recommended content based on the first visiting information;
generating push information based on the first object, the first recommended content, the second recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, the generating push information based on the first object and the association information, and pushing the push information to a terminal, where after the second object acquires the push information through the terminal, the generating of the push information includes:
and obtaining the updating information of the first requirement information of the first object from a terminal, and updating the first requirement information based on the updating information.
In a possible implementation manner, before obtaining the target group to which the first object belongs based on the feature information, the method includes:
establishing a target group based on a plurality of first objects, wherein the target group comprises a group label and a first label corresponding to each first object;
associating the group tag of the target group with a second object.
In one possible implementation, the establishing a target group based on a plurality of the first objects includes:
receiving indication information for adding or deleting the first object of the target group, and adding or deleting the first object based on the indication information.
In a possible implementation manner, the querying first requirement information corresponding to a first object in the target group, and obtaining recommended content according to the first requirement information includes:
inquiring first requirement information corresponding to a first object in the target group;
inputting the first requirement information into a neural network for feature classification;
and finding the corresponding first recommended content based on the characteristic classification.
In one possible implementation manner, the feature information of the first object is face feature information.
In a second aspect, an information pushing apparatus is disclosed, the apparatus comprising:
an acquisition unit configured to acquire feature information of a first object;
a target group unit, configured to obtain a target group to which the first object belongs based on the feature information, where the target group includes a plurality of the first objects, and association information is pre-established between the target group and a second object;
and the pushing unit is used for generating pushing information based on the first object and the associated information and pushing the pushing information to a terminal, wherein the second object acquires the pushing information through the terminal.
In one possible implementation, the target group unit is configured to:
searching an identity corresponding to the characteristic information based on the characteristic information;
and analyzing the target group to which the identity belongs.
In a possible implementation manner, the pushing unit is configured to:
analyzing a first label corresponding to the first object in the target group; each object in the target group is provided with a tag;
generating push information based on the first object, the first label and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, the pushing unit is configured to:
inquiring first requirement information corresponding to a first object in the target group, and obtaining first recommended content according to the first requirement information;
generating push information based on the first object, the first recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, the pushing unit is configured to:
inquiring first requirement information corresponding to a first object in the target group, and obtaining first recommended content according to the first requirement information;
inquiring first visiting information corresponding to the first object in the target group, and obtaining second recommended content based on the first visiting information;
generating push information based on the first object, the first recommended content, the second recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, the pushing unit is configured to:
and obtaining the updating information of the first requirement information of the first object from a terminal, and updating the first requirement information based on the updating information.
In a possible implementation manner, the obtaining unit is configured to:
establishing a target group based on a plurality of first objects, wherein the target group comprises a group label and a first label corresponding to each first object;
associating the group tag of the target group with a second object.
In a possible implementation manner, the obtaining unit is configured to:
receiving indication information for adding or deleting the first object of the target group, and adding or deleting the first object based on the indication information.
In a third aspect, an information pushing apparatus is disclosed, comprising a processor and a memory, wherein the memory is configured to store computer program code, and the processor is configured to invoke the computer program code to perform a method as in the first aspect or any possible implementation manner of the first aspect.
In a fourth aspect, a computer-readable storage medium is disclosed, which stores computer-readable instructions that, when invoked by a processor, perform a method as in the first aspect or any possible implementation manner of the first aspect.
In a fifth aspect, a computer program product is disclosed, the computer program product comprising a computer program which, when invoked by a processor, performs the method according to the first aspect as described above or any possible implementation manner of the first aspect.
Optionally, the computer program is stored on a computer readable storage medium.
In the embodiment of the present disclosure, feature information of the first object may be acquired; obtaining a target group to which the first object belongs based on the characteristic information, wherein the target group comprises a plurality of first objects, and association information is established between the target group and a second object in advance; and generating push information based on the first object and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal. The method can enable the information pushing device to intelligently identify the visiting requirement of the first object. In addition, the method also enables the information pushing device to generate the pushing message more pertinently, more comprehensively and more timely and send the pushing message to the corresponding terminal. The customer reception staff can see the relevant information of the visited first object from the terminal, can timely receive the first object, can know the visiting requirement of the first object, can know the role of the first object in the group to which the first object belongs and the requirement of each member in the whole group, and can recommend according to the requirement of the first object and the requirements of other objects in the group, so that the satisfaction degree of the received staff can be improved. The customer reception staff calculates the data such as the customer volume, the transaction rate and the like by taking one customer group as a unit to obtain more accurate data which is more in line with the service scene.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Wherein:
fig. 1 is a schematic diagram of an architecture of an information push system applied in the embodiment of the present disclosure;
fig. 2 is a schematic flowchart of an information pushing method provided by an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a mapping relationship between feature information and an identity identifier provided in the embodiment of the present disclosure;
FIG. 4 is a flowchart of an exemplary application of an information pushing method provided by an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an information pushing method and apparatus provided by the present disclosure;
fig. 6 is a schematic structural diagram of an information push method device provided by an embodiment of the present disclosure.
Detailed Description
Technical solutions in the embodiments of the present disclosure will be clearly described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only some embodiments of the present disclosure, but not all embodiments.
It is also to be understood that the terminology used in the description of the disclosure herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure.
It should be further understood that the term "and/or" as used in this disclosure and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In a specific implementation, the technical solution described in the embodiments of the present disclosure may be implemented by a terminal device or a server 200 or a system with a client reception function, such as a mobile phone, a desktop computer, a laptop computer, and a wearable device, which is not limited herein. For ease of understanding, the execution subject of the information push method is hereinafter referred to as an information push apparatus.
The embodiment of the disclosure provides an information pushing method, which includes: acquiring characteristic information of a first object; obtaining a target group to which the first object belongs based on the characteristic information, wherein the target group comprises a plurality of first objects, and association information is established between the target group and a second object in advance; and generating push information based on the first object and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
The disclosed embodiment also provides a corresponding information pushing device, a computer readable storage medium and a computer program product. Each of which is described in detail below.
The following describes an information push system to which the embodiments of the present disclosure are applicable. Referring to fig. 1, fig. 1 is a schematic structural diagram of an example application system of the technical solution provided by the embodiment of the present disclosure. As shown in fig. 1, the information push system may include one or more feature information collectors 100 (such as a face collector, a fingerprint collector, a voiceprint collector, and the like), one or more servers 200, and a plurality of terminal devices 300, where:
the server 200 and the terminal device can communicate via the internet. Specifically, the feature information acquirer sends feature information (such as face feature information, fingerprint information, voiceprint information, and the like) acquired by a first object (such as a visiting client, a watching client, a car purchasing client, and the like) to the server 200, and the server 200 identifies the acquired feature information. Specifically, the server 200 may perform face recognition, fingerprint recognition, voice print recognition, or the like. The server 200 pushes the first object visit reminder and the detailed information of the first object to the terminal device 300 corresponding to the group to which the first object belongs. Specifically, the detailed information of the first object may include basic information (such as name, telephone number, and the like) of the first object, information of a belonging client (target) group (how many objects are in the client group, a role of the first object in the client group is a decision maker or a follower, and the like), demand information of the first object (such as house purchase, a room requiring a three-room and one-hall, and the like), and the like. The user of the terminal device 300 is a second object (such as a customer receptionist or a salesperson), the terminal device 300 may be installed with an information push App, and the user account of the second object is used to log in the information push App on the terminal device 300.
The server 200 may include, but is not limited to, a background server, a component server, an information push system server, and the like, and the server 200 transmits the first object access information and the first object detailed information to the terminal. The terminal device can be installed and operated with an associated Client (e.g., an information push Client, etc.). The Client (Client) refers to a program corresponding to the server 200 and providing a local service to the user. Here, the client may be an information push APP. The local services that the information push APP can provide may include, but are not limited to: uploading basic information and requirement information of the first object, providing a client visit reminding interface and the like.
Specifically, the client may include: locally running applications, functions running on a web browser (also known as WebApp), etc. For the client, the server 200 needs to run a corresponding server 200 program to provide one or more functions of corresponding client visit reminder, client information upload, viewing recommended content related to client demand information, and the like.
The terminal device in the embodiments of the present disclosure may include, but is not limited to, any electronic product based on an intelligent operating system, which may perform human-computer interaction with a user through an input device such as a keyboard, a virtual keyboard, a touch pad, a touch screen, and a voice control device, such as a smart phone, a tablet computer, a personal computer, and the like. The smart operating system includes, but is not limited to, any operating system that enriches device functionality by providing various mobile applications to the mobile device, such as Android (Android), iOSTMWindows Phone, etc.
It should be noted that the framework of the information push system applied in the embodiment of the present disclosure is not limited to the example shown in fig. 1.
The information pushing method provided by the embodiment of the disclosure is described below with reference to fig. 2.
S101, acquiring characteristic information of the first object.
In S101, the server 200 may obtain feature information of the first object from a feature information collector (e.g., a face collector, a fingerprint collector, a voiceprint collector, etc.). The acquired feature information may be face feature information, fingerprint information, or voiceprint information. The first object may be a visiting customer, a room-purchasing customer, a car-purchasing customer, etc.
In some embodiments, when the acquired feature information is face feature information, a face collector (e.g., a camera) for collecting the face feature information may be calibrated. The calibration method for the camera may be a conventional camera calibration method, an active vision camera calibration method, a camera self-calibration method, and the like, and the specific implementation of the calibration is not limited herein.
S102, obtaining a target group to which the first object belongs based on the characteristic information, wherein the target group comprises a plurality of first objects, and association information is established between the target group and a second object in advance.
Specifically, a target group to which the first object belongs is found according to the feature information of the first object. Here, the feature information of the first object may establish a mapping relationship with the target group. According to the characteristic information of the first object, the target group corresponding to the first object can be found in the server. The characteristic information of the first object may correspond to an identity, and then a mapping relationship is established between the identity and the target group. The target group to which the first object belongs can be found through the identity.
In a possible implementation manner, the obtaining, based on the feature information, a target group to which the first object belongs includes: searching an identity corresponding to the characteristic information based on the characteristic information; and analyzing the target group to which the identity belongs.
Specifically, the identity may be a number, a name, or a name plus a number, which is not limited herein. First, after the feature information is obtained, the server 200 may perform feature information matching on the feature information and the feature information stored in the server 200, and if there is matched feature information, the identity corresponding to the matched feature information is the identity of the first object feature information. If there is no matching characteristic information. Server 200 may store the characteristic information in a characteristic information base and establish an identity for the characteristic information.
In some embodiments, the feature information may be face feature information, and the server 200 may establish a correspondence between the face feature information and the identity. The server 200 may store a table of correspondence between the face feature information and the identity identifier. The table may be a mapping relationship diagram of the face feature information and the identity identifier as shown in fig. 3.
In some embodiments, when the feature information is face feature information, the server 200 may perform feature extraction on the face feature information. The server 200 may establish a correspondence between the extracted features and the identity.
Specifically, the server 200 performs feature extraction on the face feature information by using a feature extraction algorithm to obtain face feature data.
In the embodiment of the present disclosure, the feature extraction algorithm may be scale-invariant feature transformation, accelerated robust feature, histogram of directional gradients, difference of gaussian function, and the like, and accordingly, the extracted face feature data may include one or more of local binary pattern feature, sparse coding histogram feature, color feature, global feature, region feature, detail feature, and the like, and the specific implementation of feature extraction is not limited herein.
In some embodiments, feature extraction is performed on the face feature information through a trained neural network, for example, a convolutional neural network, a cyclic neural network, and the like, and the embodiments of the present disclosure do not limit the type and specific implementation of the neural network. In one example of the neural network provided by the embodiments of the present disclosure, the neural network includes an input layer, a hidden layer, and an output layer, where the hidden layer may have n layers, where n is a positive integer greater than 1. Some of the hidden layers may be used for feature extraction, and an activation value of some of the hidden layers may represent the extracted features.
In the embodiments of the present disclosure, the Neural Network may include a Deep Neural Network (DNN), a Convolutional Neural Network (CNN), a Recurrent Neural Network (RNN), and the like, which are not listed herein.
It should be further noted that the neural network may be obtained by training server 200, may be a third-party trained network model called by server 200, and the like, and is not limited herein.
In some embodiments, the characteristic information may be fingerprint information. The server 200 may map the fingerprint information with the identity. After acquiring the fingerprint information of the first object, the server 200 matches the fingerprint information stored in the fingerprint information base. The identity corresponding to the matched fingerprint feature is the identity corresponding to the first object.
In some embodiments, the characteristic information may be voiceprint information. The server 200 may establish a corresponding relationship between the voiceprint information and the identity. After acquiring the voiceprint information of the first object, the server 200 matches the voiceprint information stored in the voiceprint information base. The identity corresponding to the matched fingerprint feature is the identity corresponding to the first object.
After the server finds the id corresponding to the first object, the server 200 analyzes which target group corresponds to the id, and the target group may include a plurality of objects. The basic information and the requirement information of each object can be recorded in the target group. Each object may be provided with a tag.
In a possible implementation manner, after analyzing the target group to which the identity belongs, the server 200 further includes: analyzing a first label corresponding to the first object in the target group; each object in the target group is provided with a tag; the generating push information based on the first object and the associated information and pushing the push information to a terminal, wherein the second object obtains the push information through the terminal and includes: generating push information based on the first object, the first label and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal. The server may depend on what the specific tag of the first object is in the group. This can facilitate more detailed information of the first object.
In one possible implementation, the first object may or may not belong to a group. When there is a group to which the first object belongs in the server 200, the server 200 may analyze to which group the first object specifically belongs, which objects are included in the group, and so on. When the server 200 cannot inquire about the group to which the first object belongs, it may be determined that the first object is visited for the first time and the group has not been established.
In a possible implementation manner, the tag corresponding to the first object includes: a first label and a second label. In a case that the first object corresponds to a first tag, after the analyzing a target group to which the identity belongs, the method further includes: analyzing a label corresponding to a first object in the target group; each object in the target group is provided with a tag; generating push information based on the first object and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal, and the method comprises the following steps: generating push information by the first label based on the first object and the demand information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal; in a case that the first object corresponds to a second tag, after the analyzing the target group to which the identity belongs, the method further includes: analyzing a label corresponding to a first object in the target group; each object in the target group is provided with a tag; the generating push information based on the first object and the demand information, and pushing the push information to a terminal, wherein the second object obtains the push information through the terminal, and the generating push information includes: generating push information by the first label and the second label based on the first object and the demand information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In a possible implementation manner, before obtaining the target group to which the first object belongs based on the feature information, the method includes: establishing a target group based on a plurality of first objects, wherein the target group comprises a group label and a first label corresponding to each first object; associating the group tag of the target group with a second object. And establishing association between the group and the second object, so that the second object can receive the visit reminder when any one object in the group visits.
Optionally, the associating the group tag of the target group with the second object comprises: and establishing association between the group label of the target group and the user account of the second object.
In one possible implementation, the establishing a target group based on a plurality of the first objects includes: receiving indication information for adding or deleting the first object of the target group, and adding or deleting the first object based on the indication information. In this way, objects in the cluster may be increased or decreased as the case may be.
The target groups may be as shown in table 1. Table 1 exemplarily shows detailed information of each object in the target group. Assuming that the identity of the first object is 1111, the server 200 may analyze the target group to which the first object belongs. The target group may also be provided with a group tag. The group tag may briefly indicate what group the target group is. It should be noted here that the detailed information of the objects in the target group is not limited to the information presented in table 1. The basic information may also not be limited to names and telephones. The requirement information for the objects in the cluster is also not limited. The label "primary decision man" in table 1 may be a first label, and the labels "secondary decision man" and "pedestrian with" may be a second label. When the label of the first object is "main decider", the push information may consist of basic information of the first object (e.g., name: zhang san; phone: 13011111111), demand information (e.g., lobby, 100 level), and the first label (e.g., main decider). If the tag corresponding to the first object is the second tag, the push information may be composed of the basic information, the requirement information, the second tag, the first tag of the first object, the requirement information of the object corresponding to the first type tag, and the like.
TABLE 1 detailed information Table of objects in target group
S103, generating push information based on the first object and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
The server 200 pushes the first object (e.g., visiting client, home-buying client, car-buying client, etc.) and the details of the group of first objects to the second object (e.g., customer receptionist, salesperson). The second object acquires the push information through the terminal. A user account of a second object (such as customer receptionist, salesperson and the like) is logged in the terminal; the user account is associated with the target group.
In a possible implementation manner, the generating push information based on the first object and the association information, and pushing the push information to a terminal, where the acquiring, by the second object, the push information by the terminal includes: inquiring first requirement information corresponding to the first object in the target group, and obtaining first recommended content according to the first requirement information; generating push information based on the first object, the first recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal. The first requirement information may be "three rooms one hall, 100 level" as shown in table 1, and the first recommended content may be all house pictures or house information for sale that satisfy "three rooms one hall, 100 level". In this way, the second object can grasp more information about the first object through the terminal, thereby better receiving the visiting first object. The user experience of the second object is improved.
In a possible implementation manner, the generating push information based on the first object and the association information, and pushing the push information to a terminal, where the acquiring, by the second object, the push information by the terminal includes: inquiring first requirement information corresponding to the first object in the target group, and obtaining first recommended content according to the first requirement information; inquiring first visiting information corresponding to the first object in the target group, and obtaining second recommended content based on the first visiting information; generating push information based on the first object, the first recommended content, the second recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal. The first visit information may be information on the number of visits, the time of visits, the intended house left at the visit, etc. of the first object. The second recommended content may be information of an intended house that was seen in each visit. In this way, the end user may receive more accurate recommendations.
In a possible implementation manner, the generating push information based on the first object and the association information, and pushing the push information to a terminal, where the acquiring, by the second object, the push information by the terminal includes: inquiring first requirement information corresponding to the first object in the target group, and obtaining first recommended content according to the first requirement information; inquiring first visiting information corresponding to the first object in the target group, and obtaining second recommended content based on the second demand information; generating push information based on the first object, the first recommended content, the second recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal. The second requirement information may be "elevator room, more than 10 th floor" as shown in table 1, and accordingly, the second recommended content may be pictures of all houses for sale that meet the "elevator room, more than 10 th floor" condition. In this way, the end user may receive more accurate recommendations.
In one possible implementation manner, the push information is composed of the basic information of the first object, the first recommended content, the second recommended content, and the group tag of the target group. Referring to table 1, assuming that the first object is zhang in table 1, the composition content of the push information may include basic information of zhang, and a picture of a "three-room, one living room, 100 level" house or may further include geographical location information of the house, and the picture or geographical location information of the house satisfying the condition of "three-room, one living room, 100 level, elevator house, more than 10 th floor, sunny, south-north penetrating … …" or a group label (e.g. first-time viewing of a house group No. 4/month 13).
In one possible implementation manner, the push information may be composed of a first object link, the first recommended content link, the second recommended content link, and the target group link. The push information received on the terminal is the first object link, the first recommended content link, the second recommended content link, and the target group link. The end user clicks on the first object link to view the basic information (such as name, phone, etc.) of the first object, the requirement information, and the first object tag. The end user clicks the first recommended content link to see the first recommended content, such as a house picture of "three rooms, one hall and 100 flats" and the corresponding geographical position of each house. The end user can view the second recommended content by clicking the second recommended content link, such as pictures of houses with three rooms, 100 floors, more than 10 floors, sunny, south-north penetrating … … and the corresponding geographic position of each house. The end user clicking on the target group link may view details of the target group, such as how many objects the target group has, the group tag of the target group, and so on. In this way, the terminal user can quickly find the push information which the terminal user wants to view.
In a possible implementation manner, the generating push information based on the first object and the association information, and pushing the push information to a terminal, where after the second object acquires the push information through the terminal, the generating of the push information includes: and acquiring the updating information of the first requirement information of the first object from the terminal, and updating the first requirement information based on the updating information. After the second object knows more demand information of the first object, the demand information of the first object can be updated on the terminal. The updated requirement information is sent to the server 200, and the server 200 updates the stored requirement information of the first object after receiving the requirement information.
The customer reception method provided by the disclosure can be used in a building, the group and the corresponding terminal of the house purchasing customer can be analyzed according to the collected characteristic information of the house purchasing customer by the method, and then the terminal user (namely, a sales reception staff) is reminded of visiting the house purchasing customer; the customer reception method provided by the disclosure can also be used in a 4S shop of a car or a scene needing customer reception, the face image or fingerprint or voiceprint of the customer is collected through the camera or fingerprint collector or voiceprint collector, the server finds the terminal corresponding to the customer by identifying and analyzing the face image or fingerprint or voiceprint of the customer, so that the terminal user can be reminded of visiting the customer, and the terminal user can timely receive the customer.
Based on the information push method illustrated in fig. 2, fig. 3 illustrates an exemplary application of the method.
S300-S305, the first visit of the client
S300, the face collector 100 collects face feature information of the client A and sends the face feature information to the server 200.
The face collector 100 sends the face feature information collected by the client a to the server 200 for face recognition.
S301, the server 200 identifies the acquired face feature information of the client A.
The server 200 performs face recognition on the client a to obtain face feature information of the client a. The server 200 then matches the face feature information with face feature information in a face database in the server 200. Specifically, refer to step S101, which is not described herein again. And if no matched face feature information exists. S302 is performed.
S302, the server 200 creates an identity corresponding to the face feature information of the client A.
In this step, reference may be made to the description of the step S102 for establishing the mapping relationship between the facial feature information and the identity identifier, which is not described herein again.
S303, the server 200 establishes the association between the identity and the user account of the salesman logged in the terminal, and pushes the visit information of the client A to the corresponding terminal.
When the client a visits for the first time, the server 200 may establish association between the user account of the idle salesman and the client according to the idle state of the salesman corresponding to the user account logged in on the terminal, and push the visiting information of the client a to the corresponding terminal.
S304, the terminal 300 sends the collected basic information and requirement information of the client a, the label set by the client a, and the indication information of the client a group to the server 200 after receiving the push information.
The terminal user receives the client after receiving the client visit reminder, inputs the basic information and the demand information of the client into the client in the terminal 300, labels the client and the clients are clustered, and then the terminal sends the information of the client to the server 200.
S305, the server 200 receives the basic information and the requirement information of the client A, groups the client A and other clients according to the indication information, and establishes association between the groups and the user accounts of corresponding salespeople.
The server 200 stores the basic information and the demand information of the client a received from the terminal 300, groups the client a and other clients according to the instruction information, and associates the groups with the user account of the corresponding salesperson.
S306-S311, the client visits again
S306, the face collector 100 collects face feature information of the client A and sends the face feature information to the server.
Step S306 can refer to step S300, which is not described herein.
And S307, the server 200 identifies the acquired face feature information of the client A.
Step S307 can refer to step S301, which is not described herein again.
S308, the server 200 searches the identity corresponding to the face feature information.
Step S308 can refer to step S102, which is not described herein.
S309, the server 200 analyzes the group to which the identity belongs.
Step S309 can refer to step S102, and is not described herein.
S310, the server 200 pushes the basic information and the demand information of the client A and the related information of the group to a terminal logged with a user account related to the group, wherein the sales staff acquires the pushed information through the terminal.
Step S301 can refer to step S104, and is not described herein again.
S311, the terminal 300 receives the push information.
Here, the terminal 300 may also continue to acquire basic information of the client in more detail and then transmit it to the server 200. Such as more detailed demand information (e.g., what house type of house, how many square houses, what price place of house, what floor of house, etc.) and more personal information (occupation, living place, etc.) that the customer leaks out during the customer reception process.
In the embodiment of the present disclosure, feature information of the first object may be acquired; obtaining a target group to which the first object belongs based on the characteristic information, wherein the target group comprises a plurality of first objects, and association information is established between the target group and a second object in advance; and generating push information based on the first object and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal. The method can enable the information pushing device to intelligently identify the visiting requirement of the first object. In addition, the method also enables the information pushing device to generate the pushing message more pertinently, more comprehensively and more timely and send the pushing message to the corresponding terminal. The customer reception staff can see the relevant information of the visited first object from the terminal, can timely receive the first object, and can better know the visiting requirement of the first object. The customer reception staff can also know the role of the first object in the group to which the first object belongs and the requirements of each member in the whole group, and then can recommend according to the requirements of the first object and the requirements of other objects in the group, so that the satisfaction degree of the received staff can be improved. The customer reception staff calculates the data such as the customer volume, the transaction rate and the like by taking one customer group as a unit to obtain more accurate data which is more in line with the service scene.
In order to better implement the above scheme of the embodiments of the present disclosure, the present disclosure further provides an information pushing apparatus, which is described in detail below with reference to the accompanying drawings:
as shown in fig. 5, which is a schematic structural diagram of an information pushing apparatus provided in an embodiment of the present disclosure, the information pushing apparatus may include: an acquisition unit 100, a target group unit 102, a push unit 104,
wherein,
an acquisition unit 100 for acquiring feature information of a first object;
a target group unit 102, configured to obtain a target group to which the first object belongs based on the feature information, where the target group includes a plurality of the first objects, and association information is pre-established between the target group and a second object;
a pushing unit 104, configured to generate pushing information based on the first object and the association information, and push the pushing information to a terminal, where the second object obtains the pushing information through the terminal.
In one possible implementation, the target group unit 102 is configured to:
searching an identity corresponding to the characteristic information based on the characteristic information;
and analyzing the target group to which the identity belongs.
In one possible implementation, the pushing unit 104 is configured to:
analyzing a first label corresponding to the first object in the target group; each object in the target group is provided with a tag;
generating push information based on the first object, the first label and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In one possible implementation, the pushing unit 104 is configured to:
inquiring first requirement information corresponding to a first object in the target group, and obtaining first recommended content according to the first requirement information;
generating push information based on the first object, the first recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In one possible implementation, the pushing unit 104 is configured to:
inquiring first requirement information corresponding to a first object in the target group, and obtaining first recommended content according to the first requirement information;
inquiring first visiting information corresponding to the first object in the target group, and obtaining second recommended content based on the first visiting information;
generating push information based on the first object, the first recommended content, the second recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
In one possible implementation, the pushing unit 104 is configured to:
and obtaining the updating information of the first requirement information of the first object from a terminal, and updating the first requirement information based on the updating information.
In a possible implementation manner, the obtaining unit 100 is configured to:
establishing a target group based on a plurality of first objects, wherein the target group comprises a group label and a first label corresponding to each first object;
associating the group tag of the target group with a second object.
In a possible implementation manner, the obtaining unit 100 is configured to:
receiving indication information for adding or deleting the first object of the target group, and adding or deleting the first object based on the indication information.
It should be noted that the information pushing apparatus 10 in the embodiment of the present disclosure is the information pushing apparatus in the embodiments of fig. 2 to 4, and functions of each unit in the information pushing apparatus 10 may refer to specific implementation manners of the embodiments of fig. 2 to 4 in the embodiments of the methods described above, which are not described herein again.
In order to better implement the above scheme of the embodiments of the present disclosure, the present disclosure further provides an information pushing apparatus, which is described in detail below with reference to the accompanying drawings:
as shown in fig. 6, which is a schematic structural diagram of an information pushing device provided by the embodiment of the present disclosure, the information pushing device 110 may include a processor 1101, an input unit 1102, an output unit 1103, a memory 1104, a communication unit 1105 and a bus 1106, and the processor 1101, the input unit 1102, the output unit 1103, the memory 1104 and the communication unit 1105 may be connected to each other through the bus 1106. The memory 1104 may be a high-speed RAM memory or a non-volatile memory (e.g., at least one disk memory). The memory 1104 may optionally be at least one memory system located remotely from the processor 1101. The memory 1104 is used for storing application program codes, and may include an operating system, a network communication module, a user interface module, and an information pushing program, the communication unit 1105 is used for information interaction with external units, and the processor 1101 is configured to call the program codes, and perform the following steps:
obtaining, by the processor 1101, feature information of a first object;
obtaining, by the processor 1101, a target group to which the first object belongs based on the feature information, where the target group includes a plurality of the first objects, and association information is established in advance between the target group and a second object;
generating, by the processor 1101, push information based on the first object and the association information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
It should be noted that the information pushing device 110 in the embodiment of the present disclosure is the information pushing device in the embodiments of fig. 2 to fig. 4, and specific reference may be specifically made to specific implementation manners of the embodiments of fig. 2 to fig. 4 in the foregoing method embodiments, which is not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a usb disk, a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded to the respective computing/processing apparatus from a computer-readable storage medium, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
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 disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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 disclosure of the present invention is not intended to be limited to the particular embodiments disclosed, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An information pushing method, comprising:
acquiring characteristic information of a first object;
obtaining a target group to which the first object belongs based on the characteristic information, wherein the target group comprises a plurality of first objects, and association information is established between the target group and a second object in advance;
and generating push information based on the first object and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
2. The method of claim 1, wherein the obtaining the target group to which the first object belongs based on the feature information comprises:
analyzing a first label corresponding to the first object in the target group; each object in the target group is provided with a tag;
the generating push information based on the first object and the associated information and pushing the push information to a terminal, wherein the second object obtains the push information through the terminal and includes: generating push information based on the first object, the first label and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
3. The method of claim 1, wherein generating push information based on the first object and the association information and pushing the push information to a terminal, and wherein acquiring the push information by the terminal by the second object comprises:
inquiring first requirement information corresponding to the first object in the target group, and obtaining first recommended content according to the first requirement information;
generating push information based on the first object, the first recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
4. The method of claim 1, wherein generating push information based on the first object and the association information and pushing the push information to a terminal, and wherein acquiring the push information by the terminal by the second object comprises:
inquiring first requirement information corresponding to the first object in the target group, and obtaining first recommended content according to the first requirement information;
inquiring first visiting information corresponding to the first object in the target group, and obtaining second recommended content based on the first visiting information;
generating push information based on the first object, the first recommended content, the second recommended content and the associated information, and pushing the push information to a terminal, wherein the second object acquires the push information through the terminal.
5. The method of claim 4, wherein the generating push information based on the first object and the association information and pushing the push information to a terminal, and wherein after the second object obtains the push information through the terminal, the method comprises:
and acquiring the updating information of the first requirement information of the first object from the terminal, and updating the first requirement information based on the updating information.
6. The method of claim 1, wherein before obtaining the target group to which the first object belongs based on the feature information, the method comprises:
establishing a target group based on a plurality of first objects, wherein the target group comprises a group label and a first label corresponding to each first object;
associating the group tag of the target group with a second object.
7. The method of claim 6, wherein the establishing a target group based on a plurality of the first objects comprises:
receiving indication information for adding or deleting the first object of the target group, and adding or deleting the first object based on the indication information.
8. An information push apparatus, characterized by comprising means for performing the method of any of claims 1-7.
9. An information pushing device comprising a processor and a memory, wherein the memory is configured to store computer program code, and the processor is configured to invoke the computer program code to perform the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer storage medium stores computer-readable instructions which, when invoked by a processor, the processor performs the method according to any of claims 1-7.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113947428A (en) * | 2021-10-14 | 2022-01-18 | 上海清赟医药科技有限公司 | Object visit recommendation method based on user portrait |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150297109A1 (en) * | 2014-04-22 | 2015-10-22 | Interaxon Inc. | System and method for associating music with brain-state data |
US20160132752A1 (en) * | 2013-11-12 | 2016-05-12 | Fuji Xerox Co., Ltd. | Classifying User Activities Using Eye Fixation Clustering, Fixation Features, and Regions of Interest |
CN106713255A (en) * | 2015-11-17 | 2017-05-24 | 腾讯科技(深圳)有限公司 | Use information management method and system |
CN106777089A (en) * | 2016-12-13 | 2017-05-31 | 北京奇虎科技有限公司 | Content screen method, device and mobile terminal |
CN107317688A (en) * | 2017-07-25 | 2017-11-03 | 薛江炜 | The device and method of communication group is created based on tag along sort |
CN108062375A (en) * | 2017-12-12 | 2018-05-22 | 百度在线网络技术(北京)有限公司 | A kind of processing method, device, terminal and the storage medium of user's portrait |
CN108960467A (en) * | 2018-07-09 | 2018-12-07 | 重庆锐云科技有限公司 | Realty information management and data analysis system |
CN109086787A (en) * | 2018-06-06 | 2018-12-25 | 平安科技(深圳)有限公司 | User's portrait acquisition methods, device, computer equipment and storage medium |
CN109146707A (en) * | 2018-08-27 | 2019-01-04 | 罗孚电气(厦门)有限公司 | Power consumer analysis method, device and electronic equipment based on big data analysis |
CN109190026A (en) * | 2018-08-21 | 2019-01-11 | 万翼科技有限公司 | The recommended method and computer readable storage medium of client |
CN109284413A (en) * | 2018-09-07 | 2019-01-29 | 平安科技(深圳)有限公司 | Product recommendation method, device, device and storage medium based on face recognition |
-
2019
- 2019-06-14 CN CN201910519414.8A patent/CN110245964A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160132752A1 (en) * | 2013-11-12 | 2016-05-12 | Fuji Xerox Co., Ltd. | Classifying User Activities Using Eye Fixation Clustering, Fixation Features, and Regions of Interest |
US20150297109A1 (en) * | 2014-04-22 | 2015-10-22 | Interaxon Inc. | System and method for associating music with brain-state data |
CN106713255A (en) * | 2015-11-17 | 2017-05-24 | 腾讯科技(深圳)有限公司 | Use information management method and system |
CN106777089A (en) * | 2016-12-13 | 2017-05-31 | 北京奇虎科技有限公司 | Content screen method, device and mobile terminal |
CN107317688A (en) * | 2017-07-25 | 2017-11-03 | 薛江炜 | The device and method of communication group is created based on tag along sort |
CN108062375A (en) * | 2017-12-12 | 2018-05-22 | 百度在线网络技术(北京)有限公司 | A kind of processing method, device, terminal and the storage medium of user's portrait |
CN109086787A (en) * | 2018-06-06 | 2018-12-25 | 平安科技(深圳)有限公司 | User's portrait acquisition methods, device, computer equipment and storage medium |
CN108960467A (en) * | 2018-07-09 | 2018-12-07 | 重庆锐云科技有限公司 | Realty information management and data analysis system |
CN109190026A (en) * | 2018-08-21 | 2019-01-11 | 万翼科技有限公司 | The recommended method and computer readable storage medium of client |
CN109146707A (en) * | 2018-08-27 | 2019-01-04 | 罗孚电气(厦门)有限公司 | Power consumer analysis method, device and electronic equipment based on big data analysis |
CN109284413A (en) * | 2018-09-07 | 2019-01-29 | 平安科技(深圳)有限公司 | Product recommendation method, device, device and storage medium based on face recognition |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113947428A (en) * | 2021-10-14 | 2022-01-18 | 上海清赟医药科技有限公司 | Object visit recommendation method based on user portrait |
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