CN117453697A

CN117453697A - Information processing method, device, equipment and storage medium

Info

Publication number: CN117453697A
Application number: CN202311109621.9A
Authority: CN
Inventors: 张治洲; 张游琳
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2023-08-31
Filing date: 2023-08-31
Publication date: 2024-01-26

Abstract

The disclosure provides an information processing method, an information processing device, information processing equipment and a storage medium, which can be applied to the technical field of communication and the technical field of finance. The method comprises the following steps: acquiring original information from a first database, wherein the original information comprises structured contact information; analyzing the original information to obtain a target contact information set, wherein the target contact information set comprises target contact information respectively corresponding to different objects; calculating the credibility of the target contact information corresponding to each object; updating the contact information corresponding to the target contact information set in the second database according to the credibility of the target contact information corresponding to each object; and acquiring a contact information list associated with the query information from the second database by utilizing the query information.

Description

Information processing method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of communication technology and the field of financial technology, and in particular, to an information processing method, apparatus, device, medium, and program product.

Background

Along with expansion of service range and increase of communication requirements between the same industry and industry, more contact information is stored in the address book. When the contact information of the user changes, the related contact information recorded in the address book also needs to be updated. In the related art, the problems of missing, error, delayed updating, untimely synchronization and the like of the contact information can often occur only by means of manually registering the address book, and the daily operation and maintenance requirements cannot be met.

Disclosure of Invention

In view of the foregoing, the present disclosure provides an information processing method, apparatus, device, medium, and program product.

According to a first aspect of the present disclosure, there is provided an information processing method including:

obtaining original information from a first database, wherein the original information comprises structured contact information;

analyzing the original information to obtain a target contact information set, wherein the target contact information set comprises target contact information respectively corresponding to different objects;

calculating the credibility of the target contact information corresponding to each object;

Updating the contact information corresponding to the target contact information set in the second database according to the credibility of the target contact information corresponding to each object; and

and acquiring a contact information list associated with the query information from the second database by utilizing the query information.

According to an embodiment of the present disclosure, the obtaining the original information from the first database includes:

acquiring text information from the target application by using a reading interface of the target application;

and carrying out structuring processing on the text information to obtain the original information in the first database.

According to an embodiment of the present disclosure, the analyzing the original information to obtain a target contact information set includes:

performing word segmentation processing on each piece of structured contact information to obtain word segmentation results corresponding to each piece of structured contact information;

matching each word in the word segmentation result with the target keyword aiming at the word segmentation result corresponding to each piece of structured contact information to obtain the matching degree corresponding to each word;

aiming at the word segmentation result corresponding to each piece of structured contact information and the contact information in the second database, respectively calculating the similarity between every two pieces of contact information; and

And obtaining the target contact information set from the original information according to the matching degree corresponding to each word and the similarity between every two pieces of contact information.

According to an embodiment of the present disclosure, the calculating the credibility of the target contact information corresponding to each of the objects includes:

and calculating the credibility of the target contact information corresponding to each object according to the data corresponding to each evaluation information and the weight corresponding to each evaluation information aiming at the target contact information corresponding to each object, wherein the similarity and the matching degree represent the evaluation information.

According to an embodiment of the present disclosure, updating the contact information corresponding to the target contact information set in the second database according to the reliability of the target contact information corresponding to each object includes:

verifying the target contact information corresponding to each object according to the credibility of the target contact information, and obtaining a verification result under the condition that the credibility is lower than a threshold value; and

and updating the contact information corresponding to the target contact information set in the second database according to the verification result.

According to an embodiment of the present disclosure, the above information processing method further includes:

periodically verifying the contact information in the second database to obtain a verification result corresponding to each piece of contact information; and

and under the condition that the verification result represents that the contact information has errors, updating the error information corresponding to the contact information in the second database according to the correct information in the verification result.

and generating a contact information table corresponding to the second database according to the contact information in the second database and the credibility corresponding to each piece of contact information.

A second aspect of the present disclosure provides an information processing apparatus including: the device comprises a first acquisition module, an acquisition module, a calculation module, a first updating module and a second acquisition module. The first acquisition module is used for acquiring original information from the first database, wherein the original information comprises structured contact information. The acquisition module is used for analyzing the original information to obtain a target contact information set, wherein the target contact information set comprises target contact information respectively corresponding to different objects. And the calculating module is used for calculating the credibility of the target contact information corresponding to each object. And the first updating module is used for updating the contact information corresponding to the target contact information set in the second database according to the credibility of the target contact information corresponding to each object. And the second acquisition module is used for acquiring a contact information list associated with the query information from the second database by utilizing the query information.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method described above.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above method.

According to the information processing method, the device, the equipment, the medium and the program product, the original information acquired from the first database is analyzed, the target contact information set can be obtained, the credibility of the target contact information corresponding to each object is calculated, accordingly, the contact information corresponding to the target contact information set in the second database can be updated according to the credibility of the target contact information corresponding to each object, the collection, registration, updating efficiency and accuracy of the contact information in daily operation and maintenance work are remarkably improved, the query information can be utilized later, the contact information list related to the query information can be acquired from the second database, the advantages of the large-scale second database can be exerted, and the overall communication efficiency is improved.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of an information processing method according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of an information processing method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow chart for obtaining a target contact information set in accordance with an embodiment of the present disclosure;

fig. 4 schematically shows a block diagram of a structure of an information processing apparatus according to an embodiment of the present disclosure; and

fig. 5 schematically shows a block diagram of an electronic device adapted to implement an information processing method according to an embodiment of the disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the invention, the related user information (including but not limited to user personal information, user image information, user equipment information, such as position information and the like) and data (including but not limited to data for analysis, stored data, displayed data and the like) are information and data authorized by a user or fully authorized by all parties, and the processing of the related data such as collection, storage, use, processing, transmission, provision, disclosure, application and the like are all conducted according to the related laws and regulations and standards of related countries and regions, necessary security measures are adopted, no prejudice to the public welfare is provided, and corresponding operation inlets are provided for the user to select authorization or rejection.

In carrying out the present disclosure, it has been found that the lack of automation tools, in the face of large amounts of data, can cause enterprises to expend extremely high labor costs in simply repeated work. In the related art, the problems of missing, error, delayed updating, untimely synchronization and the like of the contact information can often occur only by means of manually registering the address book, and the daily operation and maintenance requirements cannot be met.

To this end, an embodiment of the present disclosure provides an information processing method including: acquiring original information from a first database, wherein the original information comprises structured contact information; analyzing the original information to obtain a target contact information set, wherein the target contact information set comprises target contact information respectively corresponding to different objects; calculating the credibility of the target contact information corresponding to each object; updating the contact information corresponding to the target contact information set in the second database according to the credibility of the target contact information corresponding to each object; and acquiring a contact information list associated with the query information from the second database by utilizing the query information.

Fig. 1 schematically illustrates an application scenario diagram of an information processing method according to an embodiment of the present disclosure.

As shown in fig. 1, an application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is a medium used to provide a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 through the network 104 using at least one of the first terminal device 101, the second terminal device 102, the third terminal device 103, to receive or send messages, etc. Various communication client applications, such as a shopping class application, a web browser application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc. (by way of example only) may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.

The first terminal device 101, the second terminal device 102, the third terminal device 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by the user using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.

For example, the original information may be obtained from the first database through the server 105, and the original information may be analyzed to obtain a target contact information set, and then the credibility of the target contact information corresponding to each object may be calculated, so that the contact information corresponding to the target contact information set in the second database may be updated according to the credibility of the target contact information corresponding to each object, and finally the contact information list associated with the query information may be obtained from the second database by using the query information.

It should be noted that, the information processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the information processing apparatus provided by the embodiments of the present disclosure may be generally provided in the server 105. The information processing method provided by the embodiment of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105. Accordingly, the information processing apparatus provided by the embodiments of the present disclosure may also be provided in a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The information processing method of the disclosed embodiment will be described in detail below with reference to fig. 2 to 3 based on the scenario described in fig. 1.

Fig. 2 schematically shows a flowchart of an information processing method according to an embodiment of the present disclosure.

As shown in fig. 2, the method 200 includes operations S210 to S250.

In operation S210, original information is acquired from a first database.

According to embodiments of the present disclosure, the original information may include structured contact information. The first database may be used to store structured contact information. The contact information may characterize information that can be used to contact others. The contact information may include information such as name, telephone, address, email address, etc.

In operation S220, the original information is analyzed to obtain a target contact information set.

According to an embodiment of the present disclosure, the target contact information set may include target contact information corresponding to different objects, respectively. The original information may include structured contact information corresponding to different objects, respectively. The target contact information is structured information. The structured contact information corresponding to each object may characterize a piece of structured contact information. Wherein the object may characterize the user.

According to the embodiment of the disclosure, word segmentation processing, keyword matching and similarity matching are respectively performed on each piece of structured contact information, so that structured contact information with high keyword matching degree and high similarity is extracted from original information, and target contact information respectively corresponding to different objects is obtained. The target contact information may represent contact information meeting the specification, that is, the matching degree and the similarity of the target contact information meet respective preset conditions, and the preset conditions may represent respective thresholds of the matching degree and the similarity.

In operation S230, the credibility of the target contact information corresponding to each object is calculated.

According to the embodiment of the present disclosure, the credibility of the target contact information corresponding to each object may be calculated based on the similarity and the matching degree of the structured contact information corresponding to each object.

In operation S240, the contact information corresponding to the target contact information set in the second database is updated according to the credibility of the target contact information corresponding to each object.

According to the embodiment of the disclosure, according to the credibility of the target contact information corresponding to each object, under the condition that the credibility is larger than a threshold value, the target contact information can be directly input into the second database to update the contact information corresponding to the target contact information in the second database. In the event that the confidence level is less than the threshold, verification of the target contact information is required.

According to embodiments of the present disclosure, for information that needs to be frozen/deleted, policies that prompt the user to confirm or fully-automated processing may be employed. For example, if a person leaves, a corresponding leave mail is provided, and by analyzing the mail, a certain piece of contact information in the second database needs to be frozen or deleted due to the leave relation of the user.

In operation S250, a contact information list associated with the query information is acquired from the second database using the query information.

According to the embodiment of the disclosure, the user can directly acquire the corresponding contact information list from the second database according to the query information. The query information may include a user name, a company name, etc., and may also include related communication requirements.

According to the embodiment of the disclosure, the user can also obtain the text content written by the user by clicking the embedded button of one-click call under the condition of using the target application, such as the office mailbox and the like, and the query information is obtained by analyzing the text content, so that the contact information list meeting the requirements can be returned to the user.

For example, if a person contacts a company but does not know specific contact information, the person may directly input related query information to obtain an associated contact information list, i.e., obtain contact information associated with the company that wants to contact.

For example, when a mail is sent, names of some related companies exist in the mail content, but contact information related to a user is not determined, the mail content can be analyzed by clicking an embedded button for calling by one key, so that a possibly needed contact information list can be returned.

According to the embodiment of the disclosure, the original information acquired from the first database is analyzed to obtain the target contact information set, and the credibility of the target contact information corresponding to each object is calculated, so that the contact information corresponding to the target contact information set in the second database can be updated according to the credibility of the target contact information corresponding to each object, the collection, registration, update efficiency and accuracy of the contact information in daily operation and maintenance work are remarkably improved, the query information can be utilized later, the contact information list related to the query information is acquired from the second database, the advantages of the large-scale second database can be exerted, and the overall communication efficiency is improved.

According to an embodiment of the present disclosure, obtaining raw information from a first database includes: acquiring text information from a target application by using a reading interface of the target application; and carrying out structuring processing on the text information to obtain the original information in the first database so as to obtain the original information from the first database.

According to embodiments of the present disclosure, the target application may include a mail management application, such as Outlook. The text reading interface and the sending interface of the target application can be obtained by contacting the target application. And acquiring text information in the target application by using the reading interface. The text information may include text information in mail, EXCEL files, TXT files, HTML files, and the like.

According to embodiments of the present disclosure, the text information may include unstructured contact information corresponding to each object. Since the manner and habit of recording information is different for each user in the target application, the format of information of each object acquired from the target application is inconsistent. In order to facilitate the subsequent analysis of the information, the text information needs to be structured, so that the contact information of different users forms a uniform format.

According to the embodiment of the disclosure, the information after being structured can be put into the first database for storage, so that the structured information can be directly obtained from the first database later.

Wherein the original information may include structured contact information corresponding to each object. The text information may include information such as a name, a phone call, notes, priorities, and positions corresponding to each object.

For example, the structuring process may be equivalent to placing the content in the text information of different users in a unified table format, with different types of information being placed in corresponding locations in the table. The first row of the table may include names of various types of information, such as names, phones, addresses, positions, and the like, and then information of names, phones, addresses, positions, and the like in text information of different users may be placed in corresponding positions in the table.

According to the embodiment of the disclosure, the obtained text information is structured to obtain structured contact information, and the obtained structured contact information is put into the first database to be stored, so that the format of the information corresponding to each object is uniform, and the structured contact information can be directly obtained from the first database to be analyzed.

Fig. 3 schematically illustrates a flow chart for obtaining a target contact information set in accordance with an embodiment of the present disclosure.

As shown in fig. 3, the method 300 includes operations S310 to S340.

In operation S310, word segmentation processing is performed on each piece of structured contact information, so as to obtain a word segmentation result corresponding to each piece of structured contact information.

According to the embodiment of the disclosure, the word segmentation tool can be utilized to segment each piece of structured contact information, so that a word segmentation result corresponding to each piece of structured contact information is obtained. Wherein the word segmentation tool may comprise a jieba word segmentation tool.

For example, the structured contact information includes an address, for example, if the address is segmented in a city or a county in a province, the segmentation result of the city or the county can be obtained.

In operation S320, each word in the word segmentation result is matched with the target keyword with respect to the word segmentation result corresponding to each piece of structured contact information, so as to obtain a matching degree corresponding to each word.

According to embodiments of the present disclosure, the target keywords may characterize artificially set keywords. And aiming at word segmentation results corresponding to each piece of structured contact information, keyword matching can be carried out on each word in the structured contact information and a set target keyword, so that matching degree corresponding to each word is obtained.

According to embodiments of the present disclosure, for each piece of structured contact information, where the degree of matching corresponding to each word is greater than a threshold value, the piece of structured contact information may be indicated as useful; in the event that the degree of match corresponding to each word is less than a threshold, it may be indicated that the piece of structured contact information is not useful. I.e. structured contact information selected based on the degree of matching is relatively valuable.

In operation S330, for the word segmentation result corresponding to each piece of structured contact information and the contact information in the second database, the similarity between each two pieces of contact information is calculated, respectively.

According to an embodiment of the present disclosure, the contact information in the second database may also characterize structured contact information, where the contact information in the second database is information that is extracted before and meets the specification.

According to the embodiment of the disclosure, the similarity between the structured contact information obtained from the first database can be calculated, and the similarity between the obtained structured contact information and the contact information in the second database can also be calculated.

According to the embodiment of the disclosure, for each piece of structured contact information, in the case that the similarity reaches a threshold value, the contact information can be extracted to determine whether to repeat data or information about the same object.

For example, if the similarity between a piece of contact information obtained from the first database and a piece of contact information existing in the second database reaches 90%, it can be determined whether the contact information obtained from the first database and the contact information in the second database are related to the same object, and whether the contact information of the object is updated.

According to the embodiment of the disclosure, based on each word in each piece of contact information, extracting features of the words to obtain word vectors corresponding to each word, and performing similarity matching according to the word vectors to obtain similarity.

In operation S340, a target contact information set is obtained from the original information according to the degree of matching corresponding to each word and the degree of similarity between every two pieces of contact information.

According to the embodiment of the disclosure, according to the matching degree corresponding to each word and the similarity between every two pieces of contact information, the contact information with the matching degree and the similarity being greater than the threshold value can be extracted from the original information to obtain the target contact information set, namely, the contact information meeting the specification is extracted.

According to the embodiment of the disclosure, through word segmentation processing, keyword matching and similarity matching on each piece of structured contact information, contact information with high matching and high similarity is selected from original information, so that target contact information meeting specifications is obtained.

According to an embodiment of the present disclosure, calculating the credibility of the target contact information corresponding to each object includes: for the target contact information corresponding to each object, the credibility of the target contact information corresponding to each object is calculated according to the data corresponding to each evaluation information and the weight corresponding to each evaluation information.

According to the embodiment of the disclosure, the similarity and the matching degree can both represent evaluation information. The rating information may include information sources (referring to whether it is read from mail or obtained from a file), update frequency (referring to the number of updates of contact information of a user in a fixed time), similarity, matching, revision number, user rating, etc.

According to the embodiment of the disclosure, a weight value can be set for each piece of evaluation information, and the credibility of each piece of contact information is calculated according to the weight value and the data corresponding to the structured contact information and each piece of evaluation information.

In accordance with embodiments of the present disclosure, the confidence level may be referenced by all users, and if the confidence level is below a threshold, an alert may be triggered (e.g., the record is displayed in red), then an information verification process may need to be initiated or an administrator may be alerted to the manual intervention.

For example, if a piece of contact information may not be updated for a year, the reliability of the contact information is low.

According to the embodiment of the disclosure, the obtained target contact information meeting the specification is recommended, but the information is not necessarily all accurate, so that the reliability needs to be calculated to ensure the accuracy of the obtained target contact information.

According to the embodiment of the disclosure, the credibility of each item of target contact information is calculated based on the evaluation information for reference of a user, so that the target contact information with the credibility lower than the threshold value can be verified to ensure the accuracy of the target contact information.

According to an embodiment of the present disclosure, updating contact information corresponding to a target contact information set in a second database according to a reliability of the target contact information corresponding to each object includes: verifying the target contact information according to the credibility of the target contact information corresponding to each object under the condition that the credibility is lower than a threshold value, so as to obtain a verification result; and updating the contact information corresponding to the target contact information set in the second database according to the verification result.

According to the embodiment of the disclosure, for the credibility of the target contact information corresponding to each object, in the case that the credibility is lower than the threshold value, the target contact information needs to be verified to obtain a verification result.

According to the embodiment of the disclosure, under the condition that the verification result represents that the target contact information does not have an error, the target contact information can be directly input into the second database to update the contact information corresponding to the target contact information in the second database.

According to the embodiment of the disclosure, when the verification result represents that the target contact information has errors, the error information in the target contact information can be updated according to the correct information in the verification result, and the updated target contact information is input into the second database.

According to the embodiment of the disclosure, in the case that the credibility of the target contact information is lower than the threshold value, the accuracy of inputting the information in the second database can be ensured by verifying the target contact information.

According to an embodiment of the present disclosure, the above information processing method further includes: periodically verifying the contact information in the second database to obtain a verification result corresponding to each piece of contact information; and under the condition that the verification result represents that the contact information has errors, updating error information corresponding to the contact information in the second database according to the correct information in the verification result.

According to the embodiment of the disclosure, the contact information in the second database can be sent to the user in a semi-automatic or full-automatic mode through the sending interface of the target application, so that information verification can be performed to obtain a verification result.

The time period for sending the verification information can be flexibly set according to actual needs, such as monthly, quarterly and semi-annual execution, or the verification of the information is executed according to the number of backlogged contact information in the first database when the number reaches a certain value.

According to the embodiment of the disclosure, the contact information in the second database is unchanged, but in actual situations, the contact information of the user may change, so that the contact information in the second database needs to be verified regularly to ensure the accuracy of the information stored in the second database.

According to the embodiment of the disclosure, in the case that the verification result represents that the contact information has an error, the error information corresponding to the contact information in the second database can be updated according to the correct information in the verification result. In the case that the verification result characterizes the contact information without errors, no update is needed.

According to the embodiment of the disclosure, the information verification request is actively initiated on the basis of the set period or the timeliness requirement provided by the first database by taking the company and the organization as a unit for the contact information in the second database, so that the accuracy and the credibility of the contact information in the second database are further improved.

According to an embodiment of the present disclosure, the above information processing method further includes: and generating a contact information table corresponding to the second database according to the contact information in the second database and the credibility corresponding to each piece of contact information.

According to the embodiment of the disclosure, the average value can be taken as the total credibility of the second database according to the credibility of each piece of contact information in the second database. The average value can be taken as the credibility of the contact information mode information based on the credibility of each contact information mode information in the second database. The category of the contact information may include a phone number category, an address category, and the like.

According to the embodiment of the disclosure, the contact information table corresponding to the second database can be generated based on the total number of the contact information in the second database, the total credibility of the second database and the credibility of each type of contact information.

According to the embodiment of the disclosure, the overall reliability of the contact information table is compared with the threshold value, and under the condition that the overall reliability is lower than the threshold value, the contact information of the second database can be verified to ensure the accuracy of the information in the second database.

According to the embodiment of the disclosure, the information such as the scale, the credibility and the like of the current second database can be intuitively displayed according to the contact information table, so that operation and maintenance personnel can be helped to judge whether manual intervention is needed or not and provide basis for subsequent optimization.

Based on the information processing method, the disclosure also provides an information processing device. The device will be described in detail below in connection with fig. 4.

Fig. 4 schematically shows a block diagram of the information processing apparatus according to the embodiment of the present disclosure.

As shown in fig. 4, the information processing apparatus 400 of this embodiment includes a first acquisition module 410, an acquisition module 420, a calculation module 430, a first update module 440, and a second acquisition module 450.

The first obtaining module 410 is configured to obtain original information from a first database, where the original information includes structured contact information. In an embodiment, the first obtaining module 410 may be configured to perform the operation S210 described above, which is not described herein.

The obtaining module 420 is configured to analyze the original information to obtain a target contact information set, where the target contact information set includes target contact information corresponding to different objects. In an embodiment, the obtaining module 420 may be configured to perform the operation S220 described above, which is not described herein.

The calculation module 430 is configured to calculate the credibility of the target contact information corresponding to each object. In an embodiment, the computing module 430 may be configured to perform the operation S230 described above, which is not described herein.

The first updating module 440 is configured to update the contact information corresponding to the target contact information set in the second database according to the reliability of the target contact information corresponding to each object. In an embodiment, the first updating module 440 may be used to perform the operation S240 described above, which is not described herein.

The second obtaining module 450 is configured to obtain, from the second database, a contact information list associated with the query information by using the query information. In an embodiment, the second obtaining module 450 may be used to perform the operation S250 described above, which is not described herein.

According to an embodiment of the present disclosure, the first acquisition module 410 includes an acquisition unit and a first acquisition unit.

And the acquisition unit is used for acquiring the text information from the target application by utilizing the reading interface of the target application.

The first obtaining unit is used for carrying out structuring processing on the text information to obtain the original information in the first database.

According to an embodiment of the present disclosure, the obtaining module 420 includes a word segmentation unit, a matching unit, a calculation unit, and a second obtaining unit.

The word segmentation unit is used for carrying out word segmentation processing on each piece of structured contact information to obtain word segmentation results corresponding to each piece of structured contact information.

The matching unit is used for matching each word in the word segmentation result with the target keyword aiming at the word segmentation result corresponding to each piece of structured contact information to obtain the matching degree corresponding to each word.

The computing unit is used for computing the similarity between every two pieces of contact information according to the word segmentation result corresponding to each piece of structured contact information and the contact information in the second database.

And the second obtaining unit is used for obtaining the target contact information set from the original information according to the matching degree corresponding to each word and the similarity between every two pieces of contact information.

According to an embodiment of the present disclosure, the computing unit includes a computing subunit.

And the calculating subunit is used for calculating the credibility of the target contact information corresponding to each object according to the data corresponding to each evaluation information and the weight corresponding to each evaluation information aiming at the target contact information corresponding to each object, wherein the similarity and the matching degree both characterize the evaluation information.

According to an embodiment of the present disclosure, the first update module 440 includes a verification unit and an update unit.

And the verification unit is used for verifying the target contact information corresponding to each object according to the credibility of the target contact information, and obtaining a verification result under the condition that the credibility is lower than a threshold value.

And the updating unit is used for updating the contact information corresponding to the target contact information set in the second database according to the verification result.

According to an embodiment of the present disclosure, the above-described information processing apparatus 400 further includes a verification module and a second update module.

And the verification module is used for periodically verifying the contact information in the second database to obtain a verification result corresponding to each piece of contact information.

And the second updating module is used for updating the error information corresponding to the contact information in the second database according to the correct information in the verification result under the condition that the verification result represents that the contact information has errors.

According to an embodiment of the present disclosure, the above information processing apparatus further includes a generation module.

The generation module is used for generating a contact information table corresponding to the second database according to the contact information in the second database and the credibility corresponding to each piece of contact information.

According to embodiments of the present disclosure, any of the first acquisition module 410, the acquisition module 420, the calculation module 430, the first update module 440, and the second acquisition module 450 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. According to embodiments of the present disclosure, at least one of the first acquisition module 410, the acquisition module 420, the calculation module 430, the first update module 440, and the second acquisition module 450 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable way of integrating or packaging the circuitry, or in any one of or a suitable combination of any of the three implementations of software, hardware, and firmware. Alternatively, at least one of the first acquisition module 410, the acquisition module 420, the calculation module 430, the first update module 440, and the second acquisition module 450 may be at least partially implemented as computer program modules, which when executed, may perform the respective functions.

Fig. 5 schematically illustrates a block diagram of an electronic device adapted to implement a method of information processing according to an embodiment of the disclosure.

As shown in fig. 5, an electronic device 500 according to an embodiment of the present disclosure includes a processor 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. The processor 501 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 501 may also include on-board memory for caching purposes. The processor 501 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM 503, various programs and data required for the operation of the electronic apparatus 500 are stored. The processor 501, ROM 502, and RAM 503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 502 and/or the RAM 503. Note that the program may be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, the electronic device 500 may also include an input/output (I/O) interface 505, the input/output (I/O) interface 505 also being connected to the bus 504. The electronic device 500 may also include one or more of the following components connected to an input/output (I/O) interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to an input/output (I/O) interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: 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 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 context of this 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. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 502 and/or RAM 503 and/or one or more memories other than ROM 502 and RAM 503 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code, when executed in a computer system, causes the computer system to implement the item recommendation method provided by embodiments of the present disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 501. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed, and downloaded and installed in the form of a signal on a network medium, and/or installed from a removable medium 511 via the communication portion 509. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 509, and/or installed from the removable media 511. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 501. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts 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 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 or flowchart illustration, and combinations of blocks in the block diagrams 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.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. An information processing method, comprising:

2. The method of claim 1, wherein the obtaining the original information from the first database comprises:

acquiring text information from a target application by using a reading interface of the target application;

and carrying out structuring processing on the text information to obtain the original information in the first database so as to obtain the original information from the first database.

3. The method of claim 1, wherein the analyzing the original information to obtain a target contact information set includes:

matching each word in the word segmentation result with the target keyword aiming at the word segmentation result corresponding to each piece of structured contact information to obtain a matching degree corresponding to each word;

aiming at word segmentation results corresponding to each piece of structured contact information and the contact information in the second database, respectively calculating the similarity between every two pieces of contact information; and

4. A method according to claim 3, wherein said calculating the trustworthiness of the target contact information corresponding to each of the objects comprises:

and calculating the credibility of the target contact information corresponding to each object according to the data corresponding to each evaluation information and the weight corresponding to each evaluation information aiming at the target contact information corresponding to each object, wherein the similarity and the matching degree both represent the evaluation information.

5. The method of claim 1, wherein updating the contact information corresponding to the target contact information set in the second database according to the credibility of the target contact information corresponding to each object, comprises:

6. The method of claim 1, further comprising:

and under the condition that the verification result represents that the contact information has errors, updating error information corresponding to the contact information in the second database according to correct information in the verification result.

7. The method of claim 1, further comprising:

8. An acquisition device of a contact information list, comprising:

the first acquisition module is used for acquiring original information from a first database, wherein the original information comprises structured contact information;

the acquisition module is used for analyzing the original information to obtain a target contact information set, wherein the target contact information set comprises target contact information respectively corresponding to different objects;

the computing module is used for computing the credibility of the target contact information corresponding to each object;

the first updating module is used for updating the contact information corresponding to the target contact information set in the second database according to the credibility of the target contact information corresponding to each object; and

and the second acquisition module is used for acquiring a contact information list associated with the query information from the second database by utilizing the query information.

9. An electronic device, comprising:

One or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.

11. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.