CN115905675A

CN115905675A - Information matching method, device, server, system and storage medium

Info

Publication number: CN115905675A
Application number: CN202111165683.2A
Authority: CN
Inventors: 肖承飞; 何超; 刘兵; 李彦松; 饶梦云; 马超; 黄磊
Original assignee: Beijing Zitiao Network Technology Co Ltd
Current assignee: Beijing Zitiao Network Technology Co Ltd
Priority date: 2021-09-30
Filing date: 2021-09-30
Publication date: 2023-04-04

Abstract

The disclosure discloses an information matching method, an information matching device, a server, a system and a storage medium. The method comprises the following steps: when a query instruction is detected, acquiring information to be matched corresponding to the query instruction from a pre-stored database; according to the information to be matched, obtaining matched information from a target group of a pre-stored database, wherein a plurality of person searching information are stored in the pre-stored database, each person searching information corresponds to grouping information, the grouping information of each person searching information is used for indicating the grouping of the corresponding person searching information, and the matched information and the information to be matched are the person searching information which is obtained from the pre-stored database and is used for carrying out information matching; matching the information to be matched with the matched information; and responding to the matching result, and executing corresponding operation processing. By using the method, the matching result of the information to be matched is determined by matching the information to be matched and the matched information in the pre-stored database, so that the person searching is realized, and the accuracy and the efficiency of the person searching are improved.

Description

Information matching method, device, server, system and storage medium

Technical Field

The disclosed embodiments relate to the field of information technologies, and in particular, to an information matching method, apparatus, server, system, and storage medium.

Background

The problem of population loss is a serious social problem all the time, a searching method in the prior art is relatively original when a lost person is searched, and the method mainly depends on family searching, related public security departments and the like to release the family searching information in the modes of people searching, internet and the like so as to search relatives, and the probability of successful searching is low.

Therefore, how to improve the accuracy and efficiency of searching people based on information matching is a technical problem to be solved currently.

Disclosure of Invention

The embodiment of the disclosure provides an information matching method, an information matching device, a server, an information matching system and a storage medium, and improves the accuracy and efficiency of searching people.

In a first aspect, an embodiment of the present disclosure provides an information matching method, including:

when a query instruction is detected, acquiring information to be matched corresponding to the query instruction from a prestored database;

according to the information to be matched, obtaining matched information from a target group of a pre-stored database, wherein a plurality of person searching information is stored in the pre-stored database, each person searching information corresponds to grouping information, the grouping information of each person searching information is used for indicating the grouping of the corresponding person searching information, the matched information and the information to be matched are the person searching information which is obtained from the pre-stored database and is used for performing information matching, and the target group is a group different from the group of the information to be matched;

matching the information to be matched with the matched information;

and responding to the matching result, and executing corresponding operation processing.

In a second aspect, an embodiment of the present disclosure further provides an information matching apparatus, including:

the first acquisition module is used for acquiring the information to be matched corresponding to the query instruction from a pre-stored database when the query instruction is detected;

the second acquisition module is used for acquiring matched information from a target group of the pre-stored database according to the information to be matched, a plurality of pieces of person searching information are stored in the pre-stored database, each piece of person searching information corresponds to grouping information, the grouping information of each piece of person searching information is used for indicating a group to which the corresponding person searching information belongs, the matched information and the information to be matched are the person searching information which is acquired from the pre-stored database and is used for performing information matching, and the target group is a group different from the group to which the information to be matched belongs;

the matching module is used for matching the information to be matched with the matched information;

and the response module is used for responding to the matching result and executing corresponding operation processing.

In a third aspect, an embodiment of the present disclosure further provides a server, including:

one or more processing devices;

storage means for storing one or more programs;

the one or more programs are executed by the one or more processing devices, so that the one or more processing devices implement the information matching method provided by the embodiment of the disclosure.

In a third aspect, an embodiment of the present disclosure further provides an information matching system, including:

including electronic devices and servers as provided by embodiments of the present disclosure,

the electronic equipment is used for acquiring person searching information and sending the person searching information to the server;

the server is used for acquiring the person searching information, storing the person searching information into a pre-stored database, and acquiring information to be matched corresponding to the query instruction from the pre-stored database when the query instruction is detected;

matching the information to be matched with the matched information;

In a fourth aspect, the disclosed embodiments also provide a computer readable medium, on which a computer program is stored, where the computer program, when executed by a processing device, implements the information matching method provided by the disclosed embodiments.

The embodiment of the disclosure provides an information matching method, an information matching device, a server, an information matching system and a storage medium, wherein when an inquiry instruction is detected, information to be matched corresponding to the inquiry instruction is acquired from a pre-stored database; secondly, acquiring matched information from a target group of a pre-stored database according to the information to be matched, wherein a plurality of pieces of person searching information are stored in the pre-stored database, each piece of person searching information corresponds to grouping information, the grouping information of each piece of person searching information is used for indicating the grouping of the corresponding person searching information, the matched information and the information to be matched are the person searching information which is acquired from the pre-stored database and is used for performing information matching, and the target group is a group different from the group of the information to be matched; then matching the information to be matched with the matched information; and finally, responding to the matching result, and executing corresponding operation processing. By using the technical scheme, the matching result of the information to be matched is determined by matching the information to be matched and the matched information in the pre-stored database, so that people searching is realized, and the accuracy and the efficiency of people searching are improved.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and components are not necessarily drawn to scale.

Fig. 1 is a schematic flowchart of an information matching method according to an embodiment of the present disclosure;

fig. 1a is a schematic view of an audit interface according to an embodiment of the present disclosure;

fig. 2 is a schematic flow chart of an information matching method according to a second embodiment of the present disclosure;

fig. 2a is a schematic flow chart of an example of information matching provided in the second embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an information matching apparatus according to a third embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present disclosure;

fig. 5 is a schematic diagram of an information matching system according to a fifth embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

In the following embodiments, optional features and examples are provided in each embodiment, and various features described in the embodiments may be combined to form a plurality of alternatives, and each numbered embodiment should not be regarded as only one technical solution. Furthermore, the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

Example one

Fig. 1 is a schematic flow chart of an information matching method provided in an embodiment of the present disclosure, which may be applied to a situation where people are found by matching information, and the method may be executed by an information matching apparatus, where the apparatus may be implemented by software and/or hardware and is generally integrated on a server, and in this embodiment, the server includes but is not limited to: the system comprises an industrial integration server, a system background server and a cloud server. It should be noted that, in this embodiment, one server may be used, or may be a cluster formed by a plurality of servers, and each server in the cluster may execute the method in this embodiment to complete matching of information together.

As shown in fig. 1, a first embodiment of the present disclosure provides an information matching method, which may be applied to short video applications or applications with large remaining traffic, so as to improve efficiency of searching people. The method comprises the following steps:

s110, when the query instruction is detected, the information to be matched corresponding to the query instruction is obtained from a pre-stored database.

In this embodiment, the query instruction may trigger an instruction for information matching. Before detecting the query instruction, the query instruction needs to be triggered, for example, the query instruction may be triggered periodically, or may be triggered by manually controlling the corresponding control, or may be triggered after acquiring the person searching information uploaded by the target user, which is not limited herein.

Optionally, the query instruction is triggered every set duration; or the query instruction is triggered after the query control is triggered; alternatively, the query instruction is triggered after the targeted user uploads the seeker information.

The set time period may refer to a preset fixed time period, and the time period is not limited herein, and may be, for example, 1 hour, 1 day, or 1 week. By setting the time length, the query instruction can be automatically triggered periodically.

The query control can be a control button for triggering a query instruction, and the query control can be triggered manually to trigger a corresponding query instruction.

Or, after receiving the person-seeking information uploaded by the target user, the corresponding query instruction is automatically triggered.

The target user can be regarded as a user who issues the person searching information, and the target user can upload the person searching information to the server through the electronic equipment.

The information to be matched may refer to information corresponding to the query instruction. Different trigger modes of the query instruction correspond to different information to be matched.

In one example, when the query instruction is triggered every set time period, the corresponding information to be matched may be any person finding information in any group of the pre-stored database.

In one example, when the query instruction is triggered after the query control is triggered, the corresponding information to be matched may be the person finding information corresponding to the query control. When the query control is used for querying all person-searching information in the pre-stored database, the information to be matched can be the person-searching information in any group of the pre-stored database. And when the query control corresponds to one piece of person searching information, the corresponding person searching information is the information to be matched. The query control can be triggered by a target user or by auditors. When the target user is triggered, the corresponding information to be matched is the person searching information uploaded by the target user. When the auditor is triggered, the corresponding information to be matched can be all the audited information of the seekers passing the auditor, and can also be the information of one seeker corresponding to the query control.

Fig. 1a is a schematic view of an audit interface according to an embodiment of the present disclosure, and referring to fig. 1a, an audit list may be a list during automatic audit or manual audit, and the list may include seeker information 1. The audit list may include seeker information 1 to be audited, or seeker information 1 after audit is completed. After the query control 2 is triggered, the corresponding person searching information can be used as information to be matched. Fig. 1a illustrates that one query control 2 corresponds to one finder information, or one query control may correspond to at least two finder information or all finder information, which is not limited herein. After the click online release control 3 is triggered, the corresponding person searching information can be uploaded to a pre-stored database.

In one example, when the query instruction is triggered after the seeker information is uploaded for the target user, the corresponding information to be matched may be the uploaded seeker information.

The specific content of the information to be matched is not limited in the present disclosure, and may be information required for matching information to realize person searching. Illustratively, the information to be matched includes text information, images, sounds, videos, and the like. For example, the text information may be information describing that the object sought is related to loss. And information matching is facilitated based on the text information to realize person searching. The text information can be a lost person, also called a lost related information such as name, lost time, lost address and the like of the searched object; the images and videos may be photographs and videos that contain the face of the missing person. The sound may be the sound of the missing person.

The pre-stored database may refer to a database for storing various kinds of information for searching people. The method and the system can match the person searching information in the pre-stored database with each other to realize person searching.

The method comprises the steps that one query instruction corresponds to one or more pieces of information to be matched, if the query instruction is triggered at set time intervals, the information to be matched corresponding to the query instruction can be all pieces of person searching information in any group of the pre-stored database, and the person searching information corresponding to the query instruction can be used as the information to be matched to perform information matching in sequence until all pieces of corresponding person searching information are matched.

The information in the pre-stored database can comprise the person searching information uploaded by the target user and/or the person searching information stored in the person searching related department. After the target user uploads the person searching information to the pre-stored database, the person searching information can be temporarily stored in the pre-stored database, and then the information matching operation, i.e., the operations S120, S130 and S140, is performed. After the information to be matched is successfully matched or when the target user cancels the person searching information, the person searching information can be deleted from the prestored database. The means for revoking the seeker information is not limited herein, and the revocation of the seeker information may be triggered after the corresponding control is triggered, for example. When the information to be matched is not matched successfully, the person searching information can be stored in a pre-stored database so as to be convenient for information matching after the query instruction is triggered again.

The successful matching of the information to be matched can be considered that the probability value of the similarity between the information to be matched and the pre-stored database is greater than a set threshold value.

And S120, acquiring matched information from a target group of the pre-stored database according to the information to be matched, wherein the pre-stored database stores a plurality of pieces of person searching information, and the target group is a group different from the group where the information to be matched is located.

The matched information and the information to be matched are person searching information which is acquired from the pre-stored database and used for information matching. Each piece of person searching information corresponds to grouping information, and the grouping information of each piece of person searching information is used for indicating a group to which the corresponding person searching information belongs. After the information about the person seeking person is uploaded to the server or is approved, the grouping information of the information about the person seeking person can be determined to indicate the corresponding grouping of the information about the person seeking person. The determination of the grouping information may be based on the person seeking information, and is not limited herein. Different grouping strategies correspond to different determination means.

The person finding information in the pre-stored database can be divided into two groups. For example, the person seeking information issued by the loser himself may be in one group, and the person seeking information issued by the user seeking the loser may be in another group. Each group may be divided into a plurality of subgroups, and the subgroups may be divided in a non-limiting manner, such as based on lost time and/or lost address. It should be noted that the target user may be the loser or the user seeking the loser. The lost person searching user and lost person information are stored in the pre-stored database.

The person finding information may refer to information related to a person finding provided by a target user. In the matching stage, the obtained information for searching people for information matching is also called information to be matched and matched information. For example, the person finding information corresponding to the query instruction is the information to be matched, and the person finding information read out for matching with the information to be matched is the matched information.

The target group may refer to other groups than the group in which the information to be matched is located. Taking dividing the person-searching information in the pre-stored database into two groups as an example, the target group can be the group where the matched information is located, the group where the information to be matched is located and the target group can be regarded as relative groups, one group is formed by the person-searching information uploaded by the loser himself, and the other group is formed by the person-searching information uploaded by the user who searches for the loser. It should be noted that, when the target user is the loser, the uploaded seeker information is seeker-related information of the loser, such as text information, sound, image, and video of the loser. When the target user is a user for searching for the lost person, the uploaded person searching information is also the information related to the person searching for the lost person. For example, the person-searching information uploaded by the loser himself may be person-searching information before the loser is lost, such as an image when the loser is lost, or an image after the loser is lost, such as an image of a current loser. The user who finds the lost person uploads the person finding information before the lost person is lost.

In the step, when the matched information is obtained, a target group is determined according to the group where the information to be matched is located, the target group is a group different from the information to be matched, then any person searching information is obtained from the target group to be used as the matched information, or the person searching information in the target group is screened and then the screened person searching information is used as the matched information.

In this disclosure, the person seeking information may include first information and second information, where the first information is used to filter the person seeking information in the target group to obtain the matched information when performing matching, and the second information is used to perform matching. When the matched information is obtained, the person searching information of the target group may be filtered based on the first information, for example, filtering may be performed according to text information such as lost time and lost address, and specifically, the person searching information consistent with the first information included in the information to be matched may be screened from the target group of the pre-stored database as the matched information. The screened matched information may be one or more.

Specifically, the first information included in the information to be matched corresponding to the query instruction may be text information, where the text information indicates that the target user is a user for finding a lost person, the lost time is 2020 and 3 months (where the unit of the lost time is not limited, and may be a month, a day, or a year), the lost place is tianjin, and the level of the lost place is not limited, such as a province, a city, or a district.

The method and the device can determine the group where the information to be matched is located based on the text information, and if the text information indicates that the publisher of the information to be matched is the user searching for the loser, the group is determined to be the group corresponding to the loser searching for. The target group is the group corresponding to the loser. And screening matched information from the target group based on the first information, wherein the matched information is the information of searching for people with the loss time of 2020 and 3 months and the loss place of Tianjin.

The matched information is screened out from the target group, so that information matching is carried out based on the matched information and the information to be matched, the information matching efficiency is improved, and the information matching time is shortened.

And S130, matching the information to be matched with the matched information.

In this embodiment, matching may refer to performing similarity matching based on feature values after determining the feature values of the information to be matched and the matched information. For example, a feature value of the image is determined. Specifically, firstly, images are extracted from the information to be matched and the matched information, and then the human face similarity matching is carried out on the extracted images by using a similarity algorithm based on a human face recognition technology. The similarity calculation method may include algorithms such as vector cosine similarity, euclidean distance, and jaccard similarity.

Optionally, the matched information includes one or more matched information, and one matched information corresponds to one matching result.

In this embodiment, one or more matched information screened from the target group may be selected according to text information such as lost time and lost address included in the information to be matched, and the information to be matched is sequentially matched with each matched information, so that a matching result is obtained each time, that is, one matched information corresponds to one matching result.

And S140, responding to the matching result, and executing corresponding operation processing.

In this embodiment, the matching result may refer to a result obtained by performing similarity matching on the information to be matched and the matched information. For example, the matching result may be represented by a probability value of similarity matching, and on this basis, whether matching is successful may be determined according to the magnitude of the probability value, where a larger probability value indicates a higher matching degree between the matched information and the information to be matched.

In this step, the matched information corresponding to the maximum probability value can be selected as a result of successful matching with the information to be matched; a set threshold may also be set, so that the matched information corresponding to the probability value greater than the set threshold is used as a result of successful matching with the information to be matched, wherein if there are a plurality of probability values greater than the set threshold, the corresponding matched information with the maximum matching probability value may be selected therefrom as a result of successful matching, or each probability value and the corresponding person searching information may be included in the matching result, and the display modes of each probability value and the corresponding person searching information are not limited, such as a list mode.

Different matching results correspond to different operation processes. If the matching fails, if the probability value is lower than the set threshold value, the result of the matching failure can be prompted to a target user corresponding to the information to be matched in a private letter or push mode. If the matching is successful, if the probability value is higher than the set threshold value, the matching result can be sent to the target user and/or the set department, such as the relevant department of searching people, corresponding to the information to be matched and the matched information corresponding to the successful matching in a private letter or push mode.

Optionally, the executing the corresponding operation processing includes: and when the probability value represented by the matching result is greater than a set threshold value, sending prompt information to a target user corresponding to the information to be matched, a target user corresponding to the matched information matched when the matching is successful, and a setting department.

The set department may be considered a department related to a person seeking, and is not limited herein.

The presentation information may be considered as information to be presented as a result of information matching when matching is successful. The hint information may include the matching result. When the matching is successful, the matching result sent to the target user corresponding to the information to be matched may include a probability value and corresponding matched information, and the matched information may include a contact way of the target user who issued the matched information. The matching result sent to the target user corresponding to the successfully matched information may include a probability value and information to be matched, and the information to be matched may include a contact way of the target user who publishes the information to be matched.

In an embodiment, after the target user uploads the person searching information, the person searching information may be temporarily stored in the pre-stored database or directly stored in the pre-stored database. For example, the target user uploads the person searching information to a pre-storage database for temporary storage, and directly matches the obtained matched information on the basis, and after a corresponding result is matched, or after the target user corresponding to the information to be matched and the matched information considers that the matching is successful, the information to be matched and/or the corresponding matched information can be deleted from the pre-storage database, so that the memory of the pre-storage database is effectively saved. If the corresponding matched information is not acquired temporarily after the direct matching or the matching is not successful based on the acquired matched information, the current information to be matched can be directly stored in the pre-stored database, and the follow-up continuous matching with other person searching information continuously updated in the pre-stored database is waited until the corresponding result is matched.

It should be noted that, before uploading the seeker information to the pre-stored database, the uploaded seeker information needs to be checked. The checking is mainly to check whether the uploaded seeker information contains risk information (such as pornographic videos, pictures, sensitive words and other information with bad risks) aiming at the information such as videos, pictures, texts, sounds and the like contained in the uploaded seeker information. Specifically, machine audit can be firstly utilized, certain risk level judgment is carried out on the uploaded seeker information according to risk information contained in the seeker information, and if the judged risk level is low, the seeker information can be directly audited to pass; if the risk level is higher, the risk level can be sent to a manual auditing link, and relevant auditors can audit the content in the seeker information again to judge whether the seeker information is qualified or not. On the basis, the person searching information which passes the verification can be stored in a pre-stored database, wherein the person searching information which does not pass the verification can be sent to prompt the user.

The present disclosure does not limit the specific means of auditing, and the technical means of auditing include but are not limited to: recognizing text in the image by an OCR technology to determine whether sensitive words are contained; recognizing characters in the audio frequency through an ASR technology to determine whether sensitive words are contained; identifying whether the person searching information has sensitive words or not from a semantic level through an NLP model; the images and videos are audited through a CV model, namely a collection of various visual risk models, including a pornography model, an important character model and the like.

The information matching method provided by the first embodiment of the disclosure includes the steps that when a query instruction is detected, information to be matched corresponding to the query instruction is obtained from a pre-stored database; secondly, acquiring matched information from a target group of a pre-stored database according to the information to be matched, wherein a plurality of person searching information is stored in the pre-stored database, the matched information and the information to be matched are the person searching information which is acquired from the pre-stored database and is used for information matching, and the target group is a group different from the group where the information to be matched is located; then matching the information to be matched with the matched information; and finally, responding to the matching result, and executing corresponding operation processing. By using the technical scheme, the matching result of the information to be matched is determined by matching the information to be matched and the matched information in the pre-stored database, so that people searching is realized, and the accuracy and the efficiency of people searching are improved.

Example two

Fig. 2 is a schematic flow chart of an information matching method provided in the second embodiment of the present disclosure, and the second embodiment is embodied on the basis of various alternatives in the above embodiments. Please refer to the first embodiment for a detailed description of the present embodiment.

As shown in fig. 2, a second information matching method provided in the embodiment of the present disclosure includes the following steps:

and S210, acquiring the person searching information uploaded by the target user.

In this embodiment, the target user may include a user seeking the missing person and the missing person, both of which may upload the finder information. The person searching information uploaded by the user searching the lost person can be the name, the lost time, the lost address of the lost person, and the information of images, videos, audios, namely sounds and the like before the lost person is lost; the person searching information uploaded by the lost person can be the name, the lost time, the lost address of the person and the current picture taken by the person, namely, the information such as an image, a video or a recorded audio, namely, a sound.

This step may be performed before the query instruction is detected. And constructing a pre-storage database based on the person searching information uploaded by the target user.

It should be noted that the seeker information uploaded in this step may also be considered as seeker information to be audited, and after the audit is passed, the seeker information may be uploaded to a pre-storage database. A plurality of person searching information stored in the pre-stored database can be uploaded for different target users.

S220, determining the grouping corresponding to the person searching information according to the person searching information.

In this embodiment, before grouping the finder information, the uploaded finder information is checked, and on this basis, grouping determination may be performed on the finder information that is passed through the checking, for example, the finder information uploaded by a loser may be divided into one group, and the finder information uploaded by a user who finds the loser may be divided into another group. When the target user who issues the seeker information is determined to be the loser based on the seeker information, the packet corresponding to the seeker information is the packet corresponding to the loser. When the target user of the issued person searching information is determined to be the user searching for the lost person based on the person searching information, the group corresponding to the person searching information is the group corresponding to the user searching for the lost person.

And S230, storing the person searching information into a group corresponding to the pre-stored database according to the determined group information.

The grouping information can represent information of a group corresponding to the person seeking information. After the grouping information is determined, the person searching information can be stored in the grouping of the grouping information corresponding to the pre-stored database.

The present disclosure does not limit the grouping information as long as it can distinguish different groups. For example, the grouping information may represent person-seeking information uploaded by the corresponding group for the loser himself, or may represent person-seeking information uploaded by the user for seeking the loser.

And S240, triggering the query instruction.

In this embodiment, after the target user uploads the person-seeking information, the query instruction may be automatically triggered, and the person-seeking information uploaded by the target user may be used as the information to be matched.

And S250, when the query instruction is detected, obtaining the information to be matched corresponding to the query instruction from a pre-stored database.

And S260, acquiring matched information from a target group of the pre-stored database according to the information to be matched, wherein the pre-stored database stores a plurality of pieces of person searching information, and the target group is a group different from the group where the information to be matched is located.

The matched information and the information to be matched are person searching information which is acquired from the pre-stored database and used for information matching.

Optionally, the person-searching information includes first information and second information, the first information is used for filtering to obtain the matched information during matching, and the second information is used for matching; the first information includes text information, and the second information includes: one or more of sound, images, and video.

When the information is matched, the matched information can be screened firstly based on the first information, and then the information to be matched and the matched information are matched based on the second information.

When the matching is performed based on the second information, different matching manners are associated with different second information, and the matching is not limited herein. The image can be uploaded by a target user or captured from a video. The video can be uploaded for a target user or generated based on images and aging special effects.

In one embodiment, when the second information includes a plurality of contents, different contents may correspond to one matching result. Illustratively, when the second information includes sound, image and video, a matching result can be obtained after the sound included in the information to be matched is matched with the sound included in the matched information; after the image included in the information to be matched is matched with the image included in the matched information, a matching result can be obtained; after the video included in the information to be matched is subjected to image frame extraction, the video included in the matched information is matched with the video included in the information to be matched after the image frame extraction, and a matching result can be obtained. As long as the probability value corresponding to any matching result is greater than the set threshold, the matching result can include the corresponding matched information, that is, the matching of the matched information is represented successfully.

In one embodiment, when the second information includes a plurality of contents, a matching result may correspond to each of the contents, and the matching result may be determined based on the matching result corresponding to each of the contents and the weight value.

Optionally, the obtaining matched information from the target group of the pre-stored database according to the information to be matched includes: acquiring first information of all person searching information in a target group of the pre-stored database; according to the first information included in the information to be matched, screening the first information of all the person searching information in the target group to obtain the first information matched with the first information included in the information to be matched; and determining the person searching information corresponding to the screened first information as matched information.

In this embodiment, the matching of the first information may be determined based on the content included in the first information, and when the first information includes the loss time, the loss times may be considered to be the same or the difference value may be within the first set range. When the first information includes the lost points, the lost points may be considered to be identical or the distance difference is within a second set range. The specific numerical values of the first setting range and the second setting range are not limited herein.

And S270, matching the information to be matched with the matched information.

Optionally, the video is obtained after performing aging special effect processing according to the image, and correspondingly, the matching the information to be matched and the matched information includes: respectively acquiring a first image frame in a video included by the information to be matched and a second image frame in the video included by the matched information; matching the first image frame and the second image frame.

For example, the image may be a photograph of the child of the lost person, and in order to improve the matching accuracy, the image may be aged to generate a video, and the video may include images of various ages or preset ages of the lost person.

The present embodiment may extract a first image frame in the video determined based on the information to be matched and a second image frame in the video determined by the matching information. The age of the first image frame and the age of the second image frame may be the same, or the age difference may be within a third setting range. The third setting range is not limited herein.

After the first image frame and the second image frame are obtained, matching can be performed to obtain a matching result.

And S280, responding to the matching result, and executing corresponding operation processing.

The information matching method provided by the second embodiment of the disclosure embodies the operations of constructing the preset database and triggering the query instruction. By using the method, after the person searching information is uploaded by the target user, the information matching is triggered to realize the person searching, so that the person searching efficiency is improved, the inquired database is a preset database which comprises a plurality of person searching information, the matching is carried out in the preset database, and the matching precision is improved.

The following describes the present disclosure by way of example, and the information matching method provided by the present disclosure can be considered as a person finding method applied under a short video platform.

The existing person searching method has the following problems: firstly, although local correlation mechanisms can also build a parent searching platform, platform flow and data are too little, and certain regional limitation exists, so that matching information is difficult to obtain; secondly, when the face similarity matching is carried out in the prior art, the matching accuracy is low; thirdly, the province is striden, the country-crossing seeking is high in cost, the seeking difficulty is high, and the success rate is low.

In order to solve the technical problem, the disclosure provides a person finding portal on a short video platform, based on which person finding information can be uploaded to a server, and a target user can upload the person finding information to the server through an electronic device. The person searching information comprises images and videos with human faces. The video can be cut into frames during matching so as to perform matching based on the cut image frames, or the video can be contained in the prompt information and sent to the corresponding target user when the matching is successful so that the target user can perform verification based on the video, and at this time, the video can be called as an auxiliary verification video.

After the target user uploads the person searching information to the server through the short video platform of the electronic device, the server can audit the person searching information, and after the audit is passed, the person searching information can be stored in a pre-storage database. Then, the matched information is screened according to the first information, such as text information, included in the person searching information. After the matched information is screened out, the screened matched information and the information to be matched can be subjected to characteristic value matching, and after the matching is completed, the matching result is sent to the corresponding target user. The prompt message may be a message including or indicating the result of the match.

In one embodiment, the server may update the match periodically to be able to obtain the result of the matching success in time. After the matching result is obtained, the corresponding target user can be notified in a private letter or push mode to contact a set department, such as a relevant government department. The preset database and the database used for searching people in the setting department can be shared to provide people searching efficiency.

It should be noted that, when the target user is a user who finds the missing person, the image of the parent of the missing person may be uploaded if there is no image of the missing person.

Fig. 2a is a schematic flow chart of an example of information matching provided in the second embodiment of the present disclosure, and referring to fig. 2a, an electronic device may serve as a client, and a server may include a short video platform online service and a light service. The short video online service can be used for storing person seeking information, and the light service can be used for information matching.

The target user can upload the person searching information to the short video platform on-line service of the server through the client. After uploading, if the target user agrees to release the person searching information as a work to the short video platform, the corresponding work is released to the short video platform, so that the user browsing the work in the short video platform can browse, and the success rate of person searching is improved. The person-seeking information includes a photo, also called an image, or a video. After the short video platform online service acquires the finder information, the photo or the video is stored, then a corresponding Uniform Resource Identifier (URI) is sent to the client, and the client uploads the finder information and the corresponding URI to the light service so as to perform information matching. When the light service is matched, the content required to be acquired can be acquired from the short video platform online service.

The person finding information uploaded to the light service can comprise first information and also comprise a URI or second information corresponding to the second information.

After matching, if the matching probability, i.e. the probability value, is high, the list can be jumped, i.e. the matching result is fed back to the corresponding target user in the form of a list.

The target user can trigger the light service to be matched through the electronic equipment. The matching list can be considered as a list of the person-seeking information stored in the pre-stored database.

After the light service is queried, the matched information corresponding to the probability value larger than the set threshold value can be sent to the target user of the information to be matched, or the matched information corresponding to a plurality of probability values set in the probability value sequence can be directly sent to the target user of the information to be matched, for example, the matching degree, namely 3 or 5 videos or images or person searching information before the probability value sequence is sent to the target user.

The light service can automatically trigger matching every set time length, namely, the characteristic value is calculated at regular time, and then the matching calculation is carried out based on the calculated characteristic value.

EXAMPLE III

Fig. 3 is a schematic structural diagram of an information matching apparatus provided in a third embodiment of the present disclosure, which may be adapted to implement a person finding situation by matching information, where the apparatus may be implemented by software and/or hardware and is generally integrated on a server.

As shown in fig. 3, the apparatus includes: a first obtaining module 310, a second obtaining module 320, a matching module 330, and a response module 340;

the first obtaining module 310 is configured to, when a query instruction is detected, obtain information to be matched corresponding to the query instruction from a pre-stored database;

a second obtaining module 320, configured to obtain matched information from a target group of the pre-stored database according to the information to be matched, where the pre-stored database stores multiple pieces of person searching information, each piece of person searching information corresponds to grouping information, the grouping information of each piece of person searching information is used to indicate a group to which the corresponding piece of person searching information belongs, the matched information and the information to be matched are pieces of person searching information that is obtained from the pre-stored database and is used for performing information matching, and the target group is a group different from the group to which the information to be matched belongs;

a matching module 330, configured to match the information to be matched with the matched information;

and the response module 340 is configured to perform corresponding operation processing in response to the matching result.

In this embodiment, the apparatus first obtains, by the first obtaining module 310, to-be-matched information corresponding to a query instruction from a pre-stored database when the query instruction is detected; secondly, acquiring matched information from a target group of a pre-stored database through a second acquisition module 320 according to the information to be matched, wherein a plurality of pieces of person searching information are stored in the pre-stored database, each piece of person searching information corresponds to grouping information, the grouping information of each piece of person searching information is used for indicating a group to which the corresponding piece of person searching information belongs, the matched information and the information to be matched are the pieces of person searching information which is acquired from the pre-stored database and is used for performing information matching, and the target group is a group different from the group to which the information to be matched belongs; then the information to be matched and the matched information are matched through a matching module 330; and finally, responding to the matching result through a response module 340 to execute corresponding operation processing. The device matches the information to be matched with the matched information in the pre-stored database to determine the matching result of the information to be matched, thereby realizing person searching and improving the accuracy and efficiency of person searching.

Optionally, in the apparatus, the query instruction is triggered every set duration; or, the query instruction is triggered after the query control is triggered; or the query instruction is triggered after the target user uploads the person searching information.

Optionally, the apparatus further comprises:

the person searching information acquisition module is used for acquiring person searching information uploaded by a target user;

the grouping determining module is used for determining the grouping corresponding to the person searching information according to the person searching information;

the storage module is used for storing the person-searching information into the corresponding group of the pre-stored database according to the determined group information;

and the triggering module is used for triggering the query instruction.

Optionally, in the apparatus, the person-seeking information includes first information and second information, where the first information is used to filter to obtain the matched information during matching, and the second information is used to perform matching; the first information includes text information, and the second information includes: one or more of sound, image, and video.

Optionally, the second obtaining module 320 specifically includes:

the first information acquisition unit is used for acquiring first information of all person searching information in a target group of the pre-stored database;

the screening unit is used for screening the first information of all the person searching information in the target group according to the first information included in the information to be matched to obtain the first information matched with the first information included in the information to be matched;

and the information determining unit is used for determining the person searching information corresponding to the screened first information as the matched information.

Optionally, the video is obtained after performing aging special effect processing according to the image, and correspondingly, the matching module 330 specifically includes:

the image frame acquisition unit is used for respectively acquiring a first image frame in a video included by the information to be matched and a second image frame in the video included by the matched information;

an image frame matching unit for matching the first image frame and the second image frame.

Optionally, when the response module 340 executes the operation of "executing the corresponding operation processing", the method specifically includes:

and the information sending unit is used for sending prompt information to a target user corresponding to the information to be matched, a target user corresponding to the matched information matched when the matching is successful and a setting department when the probability value represented by the matching result is greater than a set threshold value.

Optionally, in the apparatus, the matched information includes one or more matched information, and one matched information corresponds to one matching result.

The information matching device can execute the information matching method provided by any embodiment of the disclosure, and has corresponding functional modules and beneficial effects of the execution method.

Example four

Fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present disclosure. FIG. 4 illustrates a schematic diagram of a server 400 suitable for use in implementing embodiments of the present disclosure. The server 400 shown in fig. 4 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present disclosure.

As shown in fig. 4, server 400 may include one or more processing devices (e.g., central processing units, graphics processors, etc.) 401 that may perform various appropriate actions and processes in accordance with programs stored in a Read-Only Memory (ROM) 402 or loaded from a storage device 408 into a Random Access Memory (RAM) 403. The one or more processing devices 401 implement the information matching method as provided by the present disclosure. In the RAM403, various programs and data necessary for the operation of the server 400 are also stored. The processing device 401, the ROM402, and the RAM403 are connected to each other through a bus 404. An Input/Output (I/O) interface 405 is also connected to the bus 404.

Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, or the like; storage 408, including, for example, magnetic tape, hard disk, etc., storage 408 for storing one or more programs; and a communication device 409. The communication means 409 may allow the server 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates a server 400 having various devices, it is to be understood that it is not a requirement that all of the illustrated devices be implemented or provided. More or fewer devices may alternatively be implemented or provided.

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 via the communication device 409, or from the storage device 408, or from the ROM 402. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 401.

It should be noted that the computer readable medium in the present disclosure can 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 disclosure, 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 contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination 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: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as the hypertext Transfer Protocol (HTTP), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a Local Area Network (LAN), a Wide Area Network (WAN), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the server 400; or may exist separately and not be assembled into the server 400.

The computer readable medium stores one or more computer programs which, when executed by a processing device, implement the method of: the computer readable medium carries one or more programs which, when executed by the server 400, cause the server 400 to: computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code 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).

EXAMPLE five

Fig. 5 is a schematic diagram of an information matching system according to a fifth embodiment of the present disclosure. As shown in fig. 5, the information matching system includes: the electronic device 510 and the server 520 as provided by embodiments of the present disclosure,

the electronic device 510 is configured to obtain person finding information and send the person finding information to the server 520;

the server 520 is configured to obtain the person finding information, store the person finding information in a pre-stored database, and obtain information to be matched corresponding to the query instruction from the pre-stored database when the query instruction is detected; according to the information to be matched, obtaining matched information from a target group of a pre-stored database, wherein a plurality of person searching information is stored in the pre-stored database, each person searching information corresponds to grouping information, the grouping information of each person searching information is used for indicating the grouping of the corresponding person searching information, the matched information and the information to be matched are the person searching information which is obtained from the pre-stored database and is used for performing information matching, and the target group is a group different from the group of the information to be matched; matching the information to be matched with the matched information; and responding to the matching result, and executing corresponding operation processing.

The electronic device 510 may refer to a terminal device such as a smart phone, a tablet computer, a notebook computer, and a computer. Server 520 may be a single server or a cluster of multiple servers.

In this embodiment, the target user may upload the finder information to the server 520 through a short video application program or other application programs with large traffic in the electronic device 510, and on this basis, after the server 520 obtains the finder information, the server 520 performs content verification on the finder information, and stores the finder information after the verification is passed in a pre-storage database for subsequent matching.

The target user may trigger the query instruction through a query control in the electronic device 510, or may obtain the prompt information transmitted by the server 520 through the electronic device 510.

The information matching system provided by the fifth embodiment can be used for executing the information matching method provided by any of the above embodiments, and has corresponding functions and beneficial effects.

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. 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 modules described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the name of a module does not in some cases constitute a limitation on the module itself.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Part (ASSP), a System On Chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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 compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

Example 1 provides an information matching method according to one or more embodiments of the present disclosure, including:

when a query instruction is detected, acquiring information to be matched corresponding to the query instruction from a pre-stored database;

according to the information to be matched, matched information is obtained from a target group of a pre-stored database, a plurality of pieces of person searching information are stored in the pre-stored database, each piece of person searching information corresponds to grouping information, the grouping information of each piece of person searching information is used for indicating a group to which the corresponding person searching information belongs, the matched information and the information to be matched are person searching information which is obtained from the pre-stored database and is used for carrying out information matching, and the target group is a group different from the group to which the information to be matched belongs;

matching the information to be matched with the matched information;

Example 2 the method of example 1, in accordance with one or more embodiments of the present disclosure, includes:

the query instruction is triggered every set time length; or, the query instruction is triggered after the query control is triggered; or the query instruction is triggered after the target user uploads the person searching information.

Acquiring person searching information uploaded by a target user;

determining a group corresponding to the person searching information according to the person searching information;

according to the determined grouping information, storing the person-searching information into a corresponding group of the pre-stored database;

triggering the query instruction.

Example 4 the method of example 1, according to one or more embodiments of the present disclosure, comprising:

the person searching information comprises first information and second information, the first information is used for filtering to obtain the matched information during matching, and the second information is used for matching; the first information includes text information, and the second information includes: one or more of sound, image, and video.

Example 5 in accordance with one or more embodiments of the present disclosure, the method of example 4,

the obtaining matched information from the target group of the pre-stored database according to the information to be matched comprises the following steps:

acquiring first information of all person searching information in a target group of the pre-stored database;

according to the first information included in the information to be matched, screening the first information of all person searching information in the target group to obtain first information matched with the first information included in the information to be matched;

and determining the person searching information corresponding to the screened first information as matched information.

Example 6 the video is obtained by performing aging special effect processing on the image according to the method of example 4, and correspondingly, the matching the information to be matched and the matched information includes:

respectively acquiring a first image frame in a video included by the information to be matched and a second image frame in the video included by the matched information;

matching the first image frame and the second image frame.

Example 7 in accordance with one or more embodiments of the present disclosure, the method of example 1,

executing the corresponding operation processing includes:

and when the probability value represented by the matching result is greater than a set threshold value, sending prompt information to a target user corresponding to the information to be matched, a target user corresponding to matched information matched when the matching is successful, and a setting department.

Example 8 the method of example 1, in accordance with one or more embodiments of the present disclosure, includes:

the matched information comprises one or more matched information, and one matched information corresponds to one matching result.

Example 9 provides, in accordance with one or more embodiments of the present disclosure, an information matching apparatus, including:

Example 10 provides, in accordance with one or more embodiments of the present disclosure, a server comprising:

one or more processing devices;

storage means for storing one or more programs;

when executed by the one or more processing devices, cause the one or more processing devices to implement the method of any of examples 1-8.

Example 11 provides, in accordance with one or more embodiments of the present disclosure, an information matching system, characterized by comprising an electronic device and a server as provided in example 10,

according to the information to be matched, obtaining matched information from a target group of a pre-stored database, wherein a plurality of person searching information is stored in the pre-stored database, each person searching information corresponds to grouping information, the grouping information of each person searching information is used for indicating the grouping of the corresponding person searching information, the matched information and the information to be matched are the person searching information which is obtained from the pre-stored database and is used for performing information matching, and the target group is a group different from the group of the information to be matched; matching the information to be matched with the matched information; and responding to the matching result, and executing corresponding operation processing.

Example 12 provides a computer-readable medium having stored thereon a computer program that, when executed by a processing apparatus, implements the method of any of examples 1-8, in accordance with one or more embodiments of the present disclosure.

The foregoing description is only exemplary of the preferred embodiments of the disclosure 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 disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. An information matching method, comprising:

matching the information to be matched with the matched information;

2. The method of claim 1, wherein the query command is triggered every set duration; or, the query instruction is triggered after the query control is triggered; or the query instruction is triggered after the target user uploads the person searching information.

3. The method of claim 1, further comprising:

acquiring person searching information uploaded by a target user;

triggering the query instruction.

4. The method according to claim 1, wherein the person-seeking information comprises first information and second information, the first information is used for filtering matched information when matching is carried out, and the second information is used for matching; the first information includes text information, and the second information includes: one or more of sound, images, and video.

5. The method according to claim 4, wherein the obtaining matched information from the target group of the pre-stored database according to the information to be matched comprises:

according to the first information included in the information to be matched, screening the first information of all the person searching information in the target group to obtain the first information matched with the first information included in the information to be matched;

6. The method according to claim 4, wherein the video is obtained by performing aging special effect processing on the image, and correspondingly, the matching the information to be matched and the matched information includes:

matching the first image frame and the second image frame.

7. The method of claim 1, wherein performing the corresponding operation processing comprises:

and when the probability value represented by the matching result is greater than a set threshold value, sending prompt information to a target user corresponding to the information to be matched, a target user corresponding to the matched information matched when the matching is successful, and a setting department.

8. The method of claim 1, wherein the matched information comprises one or more of, and one matched information corresponds to one matching result.

9. An information matching apparatus, comprising:

the second acquisition module is used for acquiring matched information from a target group of the pre-stored database according to the information to be matched, the pre-stored database stores a plurality of pieces of person searching information, each piece of person searching information corresponds to grouping information, the grouping information of each piece of person searching information is used for indicating a group to which the corresponding person searching information belongs, the matched information and the information to be matched are the person searching information which is acquired from the pre-stored database and is used for performing information matching, and the target group is a group different from the group to which the information to be matched belongs;

10. A server, comprising:

one or more processing devices;

storage means for storing one or more programs;

the one or more programs, when executed by the one or more processing devices, cause the one or more processing devices to perform the method of any of claims 1-8.

11. An information matching system comprising an electronic device and the server of claim 10,

the server is used for acquiring the person searching information, storing the person searching information into a pre-stored database, and acquiring information to be matched corresponding to the query instruction from the pre-stored database when the query instruction is detected; according to the information to be matched, obtaining matched information from a target group of a pre-stored database, wherein a plurality of person searching information is stored in the pre-stored database, each person searching information corresponds to grouping information, the grouping information of each person searching information is used for indicating the grouping of the corresponding person searching information, the matched information and the information to be matched are the person searching information which is obtained from the pre-stored database and is used for performing information matching, and the target group is a group different from the group of the information to be matched; matching the information to be matched with the matched information; and responding to the matching result, and executing corresponding operation processing.

12. A computer-readable medium, on which a computer program is stored, characterized in that the program, when being executed by processing means, carries out the method according to any one of claims 1-8.