CN113421054A - Information management method, electronic device, and storage medium - Google Patents

Abstract

The embodiment of the application discloses an information management method, electronic equipment and a storage medium, and relates to the technical field of terminal artificial intelligence, in particular to an intelligent information management technology. The information management method of an embodiment of the application includes: responding to the first operation, and displaying an interface of the information list; highlighting important information in the information list on an interface of the information list; and highlighting the important information in the information list, wherein the important information in the information list comprises key factors for marking and displaying the important information, the key factors are related to one or more of the influencing factors, and the key factors are used for prompting the important reason of the important information. According to the embodiment of the application, the important information can be emphatically displayed on the graphical user interface of the electronic equipment, and the prompt information is displayed as a key factor of the important information.

Description

Information management method, electronic device, and storage medium

Technical Field

The embodiment of the application relates to the technical field of terminal artificial intelligence, in particular to an information management method, electronic equipment and a storage medium.

Background

At present, in information management application, information in an information list is various, and a user needs to read the information one by one to judge which information is important information, which affects the use experience of the user. For example, in a calendar management application, there are many meetings in a calendar list, but not every meeting is relevant to the user or the user has to participate, and the user needs to look at the details of each calendar to determine which meetings are important.

Disclosure of Invention

The embodiment of the application discloses an information management method, electronic equipment and a storage medium, so as to optimize information management.

A first aspect of the present application discloses an information management method applied to an electronic device, where the information management method includes: responding to the first operation, and displaying an interface of the information list; and highlighting important information in the information list on an interface of the information list. The highlighting of the important information in the information list includes marking the important information in the information list and displaying key factors of the important information. The key factors are related to one or more of the influencing factors of the important information, and the key factors are used for prompting the important reason of the important information.

In one embodiment, the information list is an unread email list, and the key factors for displaying the important information include: and displaying first prompt information near the title of an important mail in the unread mail list. The first prompt message is used for indicating that the important mail recipients have superior levels, indicating that the important mail recipients have superior levels A, or indicating that the meeting place related to the important mail is an important meeting place.

In another embodiment, the information list is a schedule list, and the key factors for displaying the important information include: and displaying second prompt information near the title of an important schedule in the schedule list. The second prompt information is used for indicating that the important schedule has a superior meeting to participate, or indicating that the important schedule has a superior A meeting to participate, or indicating that the meeting place related to the important schedule is an important meeting place.

In another embodiment, the marking of important information in the information list includes one or more of the following: changing at least one of color, size, thickness and type of text font of the title of the important information; or, adding an identifier beside the title of the important information, wherein the identifier comprises characters and/or symbols; alternatively, the important information is preferentially arranged in the information list.

In another embodiment, the information management method further includes: responding to a second operation on the title of the important information, and displaying an interface of the important information; and highlighting one influencing factor of the important information on the interface of the important information, and/or highlighting third prompt information related to the influencing factor in the vicinity of the influencing factor of the important information. The influencing factor is one of the recipients or the meeting place. The third prompt message is used for prompting that the receiver is the superior or the meeting place is an important meeting place.

In another embodiment, before the marking the important information in the information list, the information management method further includes: and carrying out quantization processing on the influence factors of the information to determine that the information is important information. Wherein the information comprises any one of a schedule, a mail, a short message, a notification message and a note.

In another embodiment, the quantifying the influence factors on the information to determine that the information is important information includes: determining a weighting factor for the influencing factors, the influencing factors including at least one of: related person, title, related time, related place and text; determining a quantization standard value of the information according to the weight factor; and if the quantization standard value is larger than a preset quantization threshold value, determining that the information is important information.

In another embodiment, the determining the weighting factor of the influence factor includes: inquiring the organization structure information of the related person; determining a weighting factor S0 for the relevant person based on the tissue structure information.

In another embodiment, the organization structure information includes the organization relationship between the related person and the user and the organization position of the related person. Wherein the organization location comprises a level and a position.

In another embodiment, the determining the weight factor S0 of the relevant person according to the tissue structure information includes: determining a weighting factor S01 for the organizational relationship between the relevant person and the user; determining a weighting factor for the level of the relevant person S02; determining a weighting factor S03 for the position of the relevant person; determining the weighting factor S0 of a plurality of the weighting factors S01, S02, S03.

In another embodiment, the determining the weighting factor of the influence factor includes: determining a weight factor S1 of the title according to a set of preset title keywords or a set of preset title semantics; and/or determining a weight factor S2 of the relevant time according to a preset time period; and/or determining a weighting factor S3 of the relevant location according to a set of preset locations; and/or determining the weight factor S4 of the text according to the set of preset text keywords or the set of preset text semantics.

In another embodiment, the quantization standard value is:

Score＝λ0*S0+λ1*S1+λ2*S2+λ3*S3+λ4*S4

wherein λ 0 is the normalized parameter of the weighting factor S0, λ 1 is the normalized parameter of the weighting factor S1, λ 2 is the normalized parameter of the weighting factor S2, λ 3 is the normalized parameter of the weighting factor S3, and λ 4 is the normalized parameter of the weighting factor S4. A plurality of the normalization parameters may satisfy a first relationship, or satisfy a portion of the first relationship, the first relationship being: λ 0> λ 1> λ 3> λ 2> λ 4.

In another embodiment, the key factors for displaying the important information include: determining a key factor of the important information according to a plurality of weight factors, wherein the key factor is one or more of the weight factors; and displaying the key factors corresponding to the key factors.

In another embodiment, the determining the key factor of the important information according to a plurality of the weighting factors includes: if the value of one weight factor is larger than the corresponding preset key threshold, determining the weight factor as the key factor; or comparing a plurality of weight factors and determining the key factor.

In another embodiment, the comparing the plurality of weighting factors and determining the key factor includes: normalizing a plurality of the weighting factors; comparing the magnitude of the plurality of weighting factors; and determining the key factor according to the comparison result.

According to the embodiment of the application, whether the information is important information or not is determined by quantizing the influence factors of the information, the important information is marked, the key factors of the important information are highlighted, a user can be reminded of paying attention to the important information, and the important reason of the important information is informed to the user. By taking a conference schedule as an example, the embodiment of the application can determine whether the conference is an important conference related to the user according to the organization positions of the conference participants and the organization relation between the conference participants and the user, so as to remind the user of paying attention to the important conference.

A second aspect of the present application discloses an electronic device, which includes a memory, a processor, and a display screen, where the display screen is used to display a graphical user interface, the memory is used to store a computer program, and when the computer program is executed by the processor, the information management method of the embodiments of the present application is implemented.

A third aspect of the present application discloses a storage medium for storing a computer program which, when executed by a processor, implements the information management method of the embodiments of the present application.

For technical effects brought by the second aspect to the third aspect of the present application, reference may be made to the related description of the information management method of the first aspect, and details are not repeated here.

Drawings

Fig. 1 is a schematic diagram of an application scenario of an interface display.

Fig. 2 is a schematic diagram of an application scenario of another interface display.

Fig. 3 is a schematic diagram of an application scenario of another interface display.

Fig. 4 is a flowchart of an information management method according to an embodiment of the present application.

FIG. 5 is a database diagram of an information management application.

Fig. 6 is a schematic view of an application scenario of an information management method.

Fig. 7 is a schematic view of an application scenario of another information management method.

Fig. 8 is a schematic view of an application scenario of another information management method.

Fig. 9 is a schematic view of an application scenario of another information management method.

Fig. 10 is a schematic view of an application scenario of another information management method.

Fig. 11 is a flowchart of another information management method provided in an embodiment of the present application.

Fig. 12 is a schematic view of an application scenario of another information management method.

Fig. 13 is a flowchart of another information management method according to an embodiment of the present application.

Fig. 14 is a flowchart of another information management method provided in an embodiment of the present application.

Fig. 15 is a schematic view of an application scenario of another information management method.

Fig. 16 is a schematic view of an application scenario of another information management method.

Fig. 17 is a schematic view of an application scenario of another information management method.

Fig. 18 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

In the embodiments of the present application, "at least one" means one or more, "and" a plurality "means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, e.g., A and/or B may represent: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The terms "first," "second," "third," "fourth," and the like in the description and in the claims and drawings of the present application, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

It should be further noted that the methods disclosed in the embodiments of the present application or the methods shown in the flowcharts include one or more steps for implementing the methods, and the execution orders of the steps may be interchanged with each other, and some steps may be deleted without departing from the scope of the claims.

The information management method of the embodiment of the application can be applied to application programs on electronic equipment. The application programs include information management modules in information management applications (such as mails, short messages or memos) or other applications (such as schedules management modules in calendars or mails).

Fig. 1 is a schematic diagram of an application scenario of an interface display.

Referring to fig. 1, a calendar application on an electronic device includes a year, month, week, day, and schedule interface. The user can switch to the schedule interface of the calendar application by touching, clicking or sliding the screen. On the schedule interface, schedule details on different dates and different time periods are shown, such as 2 months, 10 days, saturday, lunar calendar, december (baculomb), twenty-nine, 17: 30-18: 30 schedule details. Obviously, on the schedule interface, schedules under different dates and different time periods are arranged according to the time sequence, and a user cannot distinguish the importance degree of each schedule. In particular, when times of a plurality of schedules conflict, for example, 2 months, 10 days, wednesday, nong's calendar, december (baculomb), twenty-nine, 17: 30-18: schedule of 30 and 17: 30-18: the schedules of 00 conflict and the user cannot determine which schedule is more important.

Fig. 2 is a schematic diagram of an application scenario of another interface display.

Referring to fig. 2, a mail application on an electronic device presents a mail for a meeting notification. The mail for the meeting notification includes time (e.g., 14: 10-15: 30, 2, 19, five, 10, 19, 2021), location, participant (e.g., A, B, C, D, E, F, G, H, I, J, K), and meeting conflict information. The meeting conflict information shows that the meeting conflicts with another appointment and shows the time (e.g., 14: 00-15: 30 friday, 2 months, 19 days, 2021) and location of the other appointment. Obviously, the meeting time of the present meeting conflicts with the time of the other appointment, and the user cannot determine which meeting is more important.

Fig. 3 is a schematic diagram of an application scenario of another interface display.

Referring to fig. 3, a schedule management application on an electronic device presents a schedule for a project conference. The schedule of the program conference includes the subject of the conference, the time (e.g., 14: 10-15: 30 at five pm, 2/19/d/2021), the location, the convener, and the conferee (e.g., A, B, C, D, E, F, G, H, I, J, K). Obviously, on the interface of the schedule, the user cannot determine whether the scenario discussion will be relevant to himself.

Fig. 4 is a flowchart of an information management method according to an embodiment of the present application.

Referring to fig. 4, the information management method includes:

s101, acquiring a piece of information.

Wherein the information comprises any one of a schedule, a mail, a short message, a notification message and a note.

It is to be understood that the information includes one or more influencing factors. The influencing factors include, but are not limited to, related persons, titles, related times, related places, texts (or notes, or descriptions, or descriptive contents), and the like.

In one embodiment, an information management application on an electronic device obtains a piece of information. The information may be information added by the user in the information management application, or information that already exists in the information management application but has not been read by the user.

Referring to fig. 5, the resource database of the information management application interfaces with the enterprise organizational structure database, that is, the information management application can query the organizational structure information stored in the enterprise organizational structure database.

The organization structure information includes, but is not limited to, organization relationship between the relevant person and the user, organization location (e.g., level or position) of the relevant person, and the like.

In another embodiment, an information management module in an application (e.g., calendar or mail, etc.) on the electronic device obtains an information. The information may be information newly added by the user in the information management module, or information that already exists in the information management module but is not read by the user.

The resource database of the application is interfaced with the enterprise organization structure database, that is, the organization structure information stored in the enterprise organization structure database can be inquired through the application.

S102, inquiring organization structure information of related people of the information.

In one embodiment, the enterprise organizational structure database may be queried for organizational relationships between users and people related to the information. For example, whether one of the persons associated with the information is superior (or sibling, or subordinate) to the user.

In another embodiment, the organizational location of the person associated with the information may be queried in the enterprise organizational structure database. For example, whether the level of the person associated with the information is above a preset level threshold, or whether the position of the person associated with the information is a special position (e.g., in a special project group, or in a special department, or engaged in special work, etc.).

The term "in a special project group" may mean that a project group in which a related person is located is an important project group in an enterprise, the term "in a special department" may mean that a department in which the related person is located is an important department in the enterprise, and the term "engaging in special work" may mean that work engaged in by the related person is important work in the enterprise.

S103, determining whether one of the related persons of the information is the superior (or the same level, or the inferior) of the user. If yes, go to step S106. If not, no response is made.

For example, assuming that the enterprise organization structure is divided into 20 levels by level, the relatives of the information include A, B and C. Wherein, the grade of A is 12 grades, the grade of B is 9 grades, the grade of C is 7 grades, A and B are in the same department, and the department of C is different from A (or B). Querying the organization relationship between A and B and the organization relationship between A (or B) and C in the enterprise organization structure database can determine that A is the upper level of B and A (or B) is not the upper level of C. Although the grade of A (or B) is higher than that of C, A (or B) and C do not have a superior-inferior relationship because they are in different departments.

And S104, judging whether the level of the relevant person of the information is higher than a preset level threshold value. If yes, go to step S107. If not, no response is made.

For example, assuming that the enterprise organization structure is divided into 20 levels according to levels, the related persons of the information include D and E, and the preset level threshold is 15 levels. Wherein the level of D is 16 levels and the level of E is 12 levels. Querying the organization locations of D and E in the enterprise organizational structure database may determine that D is above the preset level threshold and E is below the preset level threshold.

And S105, judging whether the post of the relevant person of the information is a special post. If yes, go to step S108. If not, no response is made.

For example, assuming that the enterprise organization structure is divided into 20 levels by level, the relatives of the information include F, G and H. Wherein, the grade of F is 10 grades, the grade of G is 8 grades, the grade of H is 6 grades, F is in a special project group, G is in a special department, and H is engaged in special work. Querying F, G the organizational location of H in the enterprise organizational structure database may determine that both positions F, G and H are marked as special positions.

And S106, determining a weight factor S01 of the organization relation between the related person and the user.

It is understood that the weighting factor S01 is used to characterize the importance of the organizational relationship between the relevant person and the user.

In one embodiment, the value of the weighting factor S01 may be a boolean value 0 or 1. Wherein S01 ═ 0 indicates that the degree of importance of the organizational relationship between the relevant person and the user is unimportant. S01 — 1 indicates that the degree of importance of the organizational relationship between the relevant person and the user is important.

In another embodiment, the value of the weighting factor S01 may be a preset value x. Wherein x is a quantitative standard value of the importance degree of the organization relation between the related person and the user, and 0< x < 1. For example, 0.4 represents a quantitative criterion value of 0.4 for the degree of importance of the organizational relationship between the relevant person and the user.

S107, determining the weight factor S02 that the level of the related person is higher than the preset level threshold.

It will be appreciated that the weighting factor S02 is used to characterize how important the level of the associated person is above a preset level threshold.

In one embodiment, the value of the weighting factor S02 may be a boolean value 0 or 1. Wherein S02 ═ 0 indicates that the degree of importance of the level of the relevant person above a preset level threshold is unimportant. S02 ═ 1 indicates that the degree of importance of the level of the relevant person above the preset level threshold is important.

In another embodiment, the value of the weighting factor S02 may be a preset value y. Wherein y is a quantization standard value of the degree of importance of the level of the relevant person above a preset level threshold, 0< y < 1. For example, y-0.3 represents that the quantization standard value of the degree of importance of the level of the relevant person higher than the preset level threshold is 0.3.

And S108, determining the weight factor S03 that the position of the related person is a special position.

It will be appreciated that the weighting factor S03 is used to characterize how important the relative position is to a particular position.

In one embodiment, the value of the weighting factor S03 may be a boolean value 0 or 1. Wherein, S03 ═ 0 indicates that the degree of importance that the post of the relevant person is a special post is not important. S03 ═ 1 indicates that the degree of importance that the position of the relevant person is a special position is important.

In another embodiment, the value of the weighting factor S03 may be a preset value z. Wherein z is a quantitative standard value of the importance degree that the post of the related person is a special post, and 0< z < 1. For example, z-0.5 represents a quantization standard value of 0.5 for the degree of importance of the position of the relevant person as a particular position.

S109, determining the weight factor S0 of the related person of the information according to a plurality of weight factors S01, S02 and S03.

It is understood that the weighting factor S0 is used to characterize the importance of the organizational structure information of the relevant person.

The organization structure information of the related person comprises the organization relation between the related person and the user, whether the level of the related person is higher than a preset level threshold value or not, and whether the post of the related person is a special post or not.

In one embodiment, the values of the weighting factors S01, S02, S03 are all boolean values 0 or 1, AND the weighting factor S0 is AND (S01, S02, S03).

For example, when the values of the weighting factors S01, S02, and S03 are all 1, the weighting factor S0 is 1, and it is important to indicate the degree of importance of the tissue structure information of the relevant person. When at least one of the values of the plurality of weighting factors S01, S02, S03 is 0, the weighting factor S0 is 0, which indicates that the degree of importance of the tissue structure information of the relevant person is unimportant.

Specifically, when (S01, S02, S03) ═ 1, 1, 1, the weighting factor S0 equals 1, and it is important to indicate the degree of importance of the tissue structure information of the relevant person. When (S01, S02, S03) is (0, 1, 1) or (1, 0, 1) or (1, 1, 0) or (0, 0, 1) or (0, 1, 0) or (1, 0, 0) or (0, 0, 0), the weighting factor S0 is 0, which indicates that the degree of importance of the tissue structure information of the relevant person is unimportant.

In another embodiment, (S01, S02, S03) ═ x, y, z. Wherein x is a quantitative standard value of the importance degree of the organization relationship between the related person and the user, y is a quantitative standard value of the importance degree of the level of the related person higher than a preset level threshold, z is a quantitative standard value of the importance degree of the post of the related person in a special post, 0< x <1, 0< y <1, and 0< z < 1. The weighting factor S0 ═ AVG (S01, S02, S03) or MAX (S01, S02, S03). Wherein S0 ═ AVG (S01, S02, S03) means that the value of S0 is the average value of S01, S02, S03. S0 ═ MAX (S01, S02, S03) means that the value of S0 is the maximum value among S01, S02, S03.

For example, when (S01, S02, S03) ═ 0.4, 0.3, 0.5, if S0 ═ AVG (S01, S02, S03), S0 ═ 0.4, and the quantized standard value indicating the degree of importance of the tissue structure information of the relevant person is 0.4. If S0 is MAX (S01, S02, S03), S0 is 0.5, and the quantitative criterion value indicating the importance of the tissue structure information of the relevant person is 0.5.

It is understood that the value of the weighting factor S0 is determined by the values of the weighting factors S01, S02, and S03, and the values of the weighting factors S01, S02, and S03 may be set as required.

S110, determining a weight factor S1 of the title of the information according to a set of preset title keywords or a set of preset title semantics.

It will be appreciated that the weighting factor S1 is used to characterize the importance of the title of the information.

The title of the information includes title keywords or title semantics. The title keywords refer to keywords extracted from the title text of the information. The title semantics refers to semantics obtained by performing intention recognition or semantic expansion on the title keywords.

For example, assume the heading text of the message is "5G technical seminar". The title keywords that can be extracted from the title text of the information include "5G technology". The title semantics that can be obtained according to the title text of the information include, but are not limited to, "5G technology", "Enhanced Mobile Broadband (eMBB)", "Ultra Reliable Low Latency Communication (urrllc)", "Massive Machine Type Communication (mtc)", and the like.

In one embodiment, the title semantics may be text classified using a Natural Language Processing (NLP) semantics classification model to determine whether the title semantics are semantics in a set of preset title semantics. The NLP semantic classification model includes, but is not limited to, a Naive Bayes (NB) model, a Random Forest (RF) model, a Support Vector Machine (SVM) model, a K-Nearest Neighbor (KNN) model, a fast text (FastText) model, a convolutional neural network text (TextCNN) model, and the like.

When the title keyword is determined to be a keyword in the set of preset title keywords or the title semantic is determined to be a semantic in the set of preset title semantic, the importance degree of the title of the information can be determined to be important.

When it is determined that the title keyword is not a keyword in the set of preset title keywords or that the title semantics are not semantics in the set of preset title semantics, it may be determined that the importance degree of the title of the information is unimportant.

For example, assuming that the title text of the information is "mMTC technical workshop," the importance of the title of the information is determined according to the set of preset title keywords. The title key words that can be extracted from the title text of the information include "mtc technology". The set of preset title keywords comprises "5G technology". Obviously, the title keyword (i.e., "mtc technology") is not a keyword in the set of preset title keywords (i.e., "5G technology"), and it may be determined that the importance degree of the title of the information is not important.

And assuming that the title text of the information is 'mMTC technical workshop', and determining the importance degree of the title of the information according to the preset set of title semantics. The title semantics that can be obtained from the title text of the information include "mtc technology" and "5G technology". The set of preset title semantics includes "5G technology". Obviously, the "5G technology" in the header semantics (i.e., "mtc technology" and "5G technology") is a semantic in a set of preset header semantics (i.e., "5G technology"), and it may be determined that the importance degree of the header of the information is important.

In one embodiment, the value of the weighting factor S1 may be a boolean value 0 or 1. Where S1 ═ 0 indicates that the degree of importance of the title of the information is unimportant. S1 — 1 indicates that the importance of the title of the information is important.

In another embodiment, the value of the weighting factor S1 may be the confidence w. The confidence w represents that the probability that the title keyword of the information is a keyword in the preset title keyword set (i.e., the confidence interval) is w. Alternatively, the confidence w may also indicate that the probability that the title semantic is a semantic in a set of preset title semantics (i.e., confidence interval) is w.

And S111, determining a weight factor S2 of the relevant time of the information according to a preset time interval.

Wherein the relevant time comprises a reception or creation time of the information (e.g., 10: 00), or a start-stop time of the information (e.g., 10: 00-11: 00).

It will be appreciated that the weighting factor S2 is used to characterize the importance of the time of relevance of the information.

When it is determined that the reception or creation time of the information is within the preset time period or that there is a coincidence between the start-stop time of the information and the preset time period, it may be determined that the degree of importance of the relevant time of the information is important.

When it is determined that the reception or creation time of the information is not within the preset period, or that there is no overlapping portion of the start-stop time of the information and the preset period, it may be determined that the degree of importance of the relevant time of the information is insignificant.

For example, assume that the start-stop time of the message is 10: 00-11: 00, the preset time period comprises 9: 30-11: 30. obviously, there is a coincidence between the start-stop time of the information and the preset time period (i.e., 10: 00-11: 00), and it can be determined that the importance of the time of the information is important.

Assume that the start-stop time of the information is 10: 00-11: 00, the preset time period comprises 14: 00-16: 00. obviously, there is no overlapping part between the start-stop time of the information and the preset time period, and the importance degree of the time of the information can be determined to be unimportant.

In one embodiment, the value of the weighting factor S2 may be a ratio of the start-stop time of the information to the duration of the overlapping part of the preset time period in the preset time period. For example, the start-stop time of the information is 10: 00-11: 00, the preset time period comprises 9: 30-11: 30, the coincidence part of the start-stop time of the information and the preset time interval is 10: 00-11: 00, the ratio of the duration of the overlapping portion (i.e., 1h) to the duration of the preset period (i.e., 2h) is 0.5, i.e., the weighting factor S2 is 0.5.

In another embodiment, the weighting factor S2 may take a boolean value of 0 or 1. Where S2 ═ 0 indicates that the degree of importance of the relevant time of the information is unimportant. S2 indicates that the degree of importance of the time associated with the information is 1.

In another embodiment, the value of the weighting factor S2 may be a preset value q. Wherein q is a quantization standard value of the degree of importance of the relevant time of the information, 0< q < 1. For example, q ═ 0.3 indicates that the quantization standard value of the degree of importance of the correlation time of the information is 0.3.

And S112, determining a weight factor S3 of the relevant place of the information according to the set of preset places.

Wherein the relevant places comprise places referred to in a title or a body (or remarks, or instructions, or descriptive content) of the information. For example, the relevant location may be a conference room (e.g., building 2 2015 conference room) or an online conference link (e.g., conference ID or conference access number of the weilink conference application).

It will be appreciated that the weighting factor S3 is used to characterize the importance of the relevant location of the information.

When it is determined that the place related to the information is a place in the set of preset places, it may be determined that the degree of importance of the place related to the information is important.

When it is determined that the place related to the information is not a place in the set of preset places, it may be determined that the degree of importance of the place related to the information is insignificant.

For example, assume that the relevant location of the information is the conference room of building 2 2015, and the set of predetermined locations includes the conference rooms of building 2010-2020. Obviously, the relevant location of the information (i.e., the building 2015 meeting room) is a location in the set of preset locations (i.e., the building 2010-2020 meeting room), and the importance level of the relevant location of the information can be determined to be important.

Assume that the relevant location of the information is a floor 2 2015 conference room, and the set of preset locations includes floor 1 1010 and 1020 conference rooms. Obviously, the relevant location of the information (i.e., the floor 2015 meeting room) is not a location in the set of preset locations (i.e., the floor 1010-1020 meeting rooms), and it can be determined that the importance degree of the relevant location of the information is unimportant.

In one embodiment, the value of the weighting factor S3 may be determined by determining whether the relevant location of the information is a location in the set of preset locations through an NLP text similarity algorithm or a Named Entity Recognition (NER) algorithm. For example, when judging whether the relevant place of the information is a place in the set of preset places through an NLP text similarity algorithm, text similarity may be calculated, where a value of the text similarity is a value of the weight factor S3. When the NER algorithm is used for judging whether the relevant place of the information is a place in the set of the preset places, a text weight can be calculated, wherein the text weight is the value of the weight factor S3.

In another embodiment, the weighting factor S3 may take a boolean value of 0 or 1. Where S3 ═ 0 indicates that the degree of importance of the relevant place of the information is unimportant. S3 indicates that the importance level of the relevant point of the information is important, i.e., 1.

In another embodiment, the value of the weighting factor S3 may be a preset value p. Wherein p is a quantitative standard value of the degree of importance of the relevant place of the information, 0< p < 1. For example, a quantization standard value of p ═ 0.4 indicating the degree of importance of the relevant place of the information is 0.4.

S113, determining a weight factor S4 of the text of the information according to the set of preset text keywords or the set of preset text semantics.

It will be appreciated that the weighting factor S4 is used to characterize the importance of the body (or remarks, or description, or descriptive content) of the information.

The text of the information comprises text keywords or text semantics. The text keywords refer to keywords extracted from text of the information. The text semantics refers to semantics obtained by performing intention recognition or semantic expansion on the text keywords.

For example, assume that the body text of the information is "application scenario for research 5G technology". The body keywords that can be extracted from the body text of the information include "5G technology". The body semantics that can be obtained from the body text of the information include, but are not limited to, "5G technology," "eMBB," "urrllc," "mtc," and the like.

In one embodiment, the text semantics may be text classified using an NLP semantic classification model to determine whether the text semantics are the semantics in a set of preset text semantics. The NLP semantic classification model includes, but is not limited to, NB model, RF model, SVM model, KNN model, FastText model, TextCNN model, and the like.

When the text keyword is determined to be a keyword in the set of preset text keywords or the text semantic is determined to be a semantic in the set of preset text semantics, the importance degree of the text of the information can be determined to be important.

When it is determined that the text keyword is not a keyword in the set of preset text keywords or that the text semantics is not a semantics in the set of preset text semantics, it may be determined that the importance degree of the text of the information is unimportant.

For example, assuming that the text of the information is "an application scene for researching the eMBB technology", the importance degree of the text of the information is determined according to the set of the preset text keywords. The body keywords that can be extracted from the body text of the information include "eMBB technology". The set of preset text keywords comprises a "5G technique". Obviously, the text keyword (i.e., "eMBB technology") is not a keyword in the set of preset text keywords (i.e., "5G technology"), and it may be determined that the importance degree of the text of the information is unimportant.

And assuming that the text of the information is an application scene for researching eMBB technology, and determining the importance degree of the text of the information according to the set of preset text semantics. The text semantics which can be obtained according to the text of the information comprise an eMBB technology and a 5G technology. The set of preset text semantics includes "5G technology". Obviously, the "5G technology" in the text semantics (i.e., "eMBB technology" and "5G technology") is a semantic in a set of preset text semantics (i.e., "5G technology"), and it can be determined that the importance degree of the text of the information is important.

In one embodiment, the value of the weighting factor S4 may be a boolean value 0 or 1. Where S4 ═ 0 indicates that the degree of importance of the body of the information is unimportant. S4 — 1 indicates that the degree of importance of the body of the information is important.

In another embodiment, the weighting factor S4 may be a confidence r. The confidence r indicates that the probability that the text keyword of the information is a keyword in the preset text keyword set (i.e., confidence interval) is r. Alternatively, the confidence r may also indicate that the probability that the text semantic is a semantic in a set of preset text semantics (i.e., a confidence interval) is r.

S114, determining a quantization standard value Score of the information according to a plurality of weighting factors S0, S1, S2, S3 and S4.

It is understood that the quantification criterion Score is used to characterize the importance of the information.

In one embodiment, the quantization standard value Score can be calculated by formula (1):

Score＝λ0*S0+λ1*S1+λ2*S2+λ3*S3+λ4*S4 (1)

where λ 0 is the normalized parameter of the weighting factor S0, λ 1 is the normalized parameter of the weighting factor S1, λ 2 is the normalized parameter of the weighting factor S2, λ 3 is the normalized parameter of the weighting factor S3, and λ 4 is the normalized parameter of the weighting factor S4.

It can be understood that the larger the values of the normalized parameters λ 0, λ 1, λ 2, λ 3, λ 4 are, the higher the importance of the influence factors of the information represented by the corresponding weighting factors S0, S1, S2, S3, S4 is. The influencing factors of the information include the factor of the related person characterized by S0, the factor of the title characterized by S1, the factor of the related time characterized by S2, the factor of the related place characterized by S3, and the factor of the text (or remark, or description, or descriptive content) characterized by S4.

In one embodiment, the plurality of normalization parameters λ 0, λ 1, λ 2, λ 3, λ 4 satisfy the first relationship, or satisfy a portion of the first relationship. Wherein, the first relation is: λ 0> λ 1> λ 3> λ 2> λ 4.

Specifically, in the formula (1), a plurality of normalization parameters λ 0, λ 1, λ 2, λ 3, λ 4 may be set to satisfy: λ 0> λ 1> λ 3> λ 2> λ 4. That is, among the above-mentioned influencing factors, the importance of the related person factor is highest, followed by the title factor and the related place factor, and finally the related time factor and the text factor. For example, λ 0 ═ 0.4, λ 1 ═ 0.25, λ 2 ═ 0.1, λ 3 ═ 0.2, and λ 4 ═ 0.05.

In the formula (1), a plurality of normalization parameters λ 0, λ 1, λ 2, λ 3, λ 4 may be set to satisfy: λ 0> λ 1> λ 3, λ 2 ═ λ 4 ═ 0. That is, among the above-mentioned influencing factors, the importance of the information is determined by the factors of the relevant person, the title and the relevant place. The importance of the relevant person factor is highest, the title factor is next, and the relevant place factor is last. For example, λ 0 ═ 0.6, λ 1 ═ 0.3, and λ 3 ═ 0.1.

It is understood that the values of the plurality of normalization parameters λ 0, λ 1, λ 2, λ 3, λ 4 can be set as required, i.e. the first relationship can be set as required.

S115, judging whether the quantization standard value Score of the information is larger than a preset quantization threshold value. If yes, go to step S116. If not, no response is made.

For example, assume that the predetermined quantization threshold is 0.8. When the quantization standard value Score of the information is calculated by formula (1) to be 0.9, it may be determined that the quantization standard value Score of the information is greater than the preset quantization threshold value. When the quantization standard value Score of the information is calculated to be 0.5 by formula (1), it may be determined that the quantization standard value Score of the information is less than the preset quantization threshold value.

It is understood that the value of the preset quantization threshold may be set as required.

And S116, marking the information as important information.

In one embodiment, the information may be marked by changing an attribute of a text font of the information, thereby alerting the user to focus on the information. Wherein the attribute of the text font comprises at least one of: color, size, thickness, type.

For example, referring to FIG. 6, a calendar application on the electronic device includes a year, month, week, day, and schedule interface. The user can switch to the schedule interface of the calendar application by touching, clicking or sliding the screen. On the schedule interface, schedule details on different dates and different time periods are shown, such as 2 months, 8 days, monday, lunar calendar, december (baculo), twenty-seven, 17: 00-18: two schedules of 00. Obviously, on the schedule interface, the text font of one schedule is bolded and enlarged, so that the schedule is obviously different from other schedules in the schedule list, and the user is reminded to focus on the schedule.

In another embodiment, the information may be marked by adding a mark (e.g., a word or symbol) beside the title of the information, so as to remind the user to pay attention to the information.

For example, referring to FIG. 7, a mail application of the electronic device includes an interface to an inbox. On the interface of the inbox, mails received at different times, for example 4 mails received in 5 months and 12 days, are displayed. Obviously, on the interface of the inbox, the symbols of remarked characters "important" and "five-pointed star" are added beside the title of one mail, so that the mail is obviously different from other mails in the mail list, and the user is reminded to pay attention to the mail.

In other embodiments, the important information may be prioritized in the information list to remind the user to pay attention to the important information.

S117, determining key factors of the information according to a plurality of weighting factors S0, S1, S2, S3 and S4.

It will be appreciated that the key factors are used to characterize the reason for determining that the information is important. The key factor is one or more of a plurality of weighting factors S0, S1, S2, S3, S4.

In one embodiment, whether a weighting factor is the key factor may be determined by presetting a key threshold.

Specifically, for a plurality of weighting factors S0, S1, S2, S3, S4, a corresponding plurality of preset key thresholds are set, respectively. When the value of a weighting factor (e.g., S0) is greater than its corresponding preset critical threshold, it may be determined that the weighting factor (e.g., S0) is the critical factor.

For example, the preset key threshold corresponding to the weighting factor S0 is set to 0.5, the preset key threshold corresponding to the weighting factor S1 is set to 0.3, the preset key threshold corresponding to the weighting factor S2 is set to 0.4, the preset key threshold corresponding to the weighting factor S3 is set to 0.2, and the preset key threshold corresponding to the weighting factor S4 is set to 0.1. When S0>0.5, the weighting factor S0 may be determined to be the key factor. When S1>0.3, the weighting factor S1 may be determined to be the key factor. When S2>0.4, the weighting factor S2 may be determined to be the key factor. When S3>0.2, the weighting factor S3 may be determined to be the key factor. When S4>0.1, the weighting factor S4 may be determined to be the key factor.

In another embodiment, a plurality of weighting factors S0, S1, S2, S3, S4 may be compared to determine the key factor.

Specifically, the plurality of weighting factors S0, S1, S2, S3, and S4 are first subjected to normalization processing (e.g., normalization processing), and then the magnitude of the respective weighting factors are compared and sorted according to the comparison result, thereby determining the key factor.

For example, the weighting factors S0, S1, S2, S3, and S4 all take the boolean value of 0 or 1. Assuming (S0, S1, S2, S3, S4) ═ 1, 0, 0, 1, 0, it indicates that, of the plurality of weighting factors S0, S1, S2, S3, S4, the importance degrees of the factor of the relevant person characterized by S0 and the factor of the relevant place characterized by S3 are important, and the importance degrees of the factor of the title characterized by S1, the factor of the relevant time characterized by S2, and the factor of the body (or remark, or description content) characterized by S4 are unimportant. Obviously, S0-S3-1, S1-S2-S4-0, S0> S1, which are sorted from large to small as S0, S3, S1, S2, S4, and the key factors are determined as S0 and S3.

In another embodiment, the values of the weighting factors may be converted into boolean values 0 or 1 by presetting a key threshold, and then the values of the weighting factors are compared and sorted according to the comparison result, so as to determine the key factors.

For example, the preset key threshold corresponding to the weighting factor S0 is set to 0.5, the preset key threshold corresponding to the weighting factor S1 is set to 0.3, the preset key threshold corresponding to the weighting factor S2 is set to 0.4, the preset key threshold corresponding to the weighting factor S3 is set to 0.2, and the preset key threshold corresponding to the weighting factor S4 is set to 0.1. When S0>0.5, determining S0 ═ 1; and when S0 is less than or equal to 0.5, determining that S0 is 0. When S1>0.3, determining S1 ═ 1; and when S1 is less than or equal to 0.3, determining that S1 is 0. When S2>0.4, determining S2 ═ 1; and when S2 is less than or equal to 0.4, determining that S2 is 0. When S3>0.2, determining S3 ═ 1; and when S3 is less than or equal to 0.2, determining that S3 is 0. When S4>0.1, determining S4 ═ 1; and when S4 is less than or equal to 0.1, determining that S4 is 0. Assuming that (S0, S1, S2, S3, S4) ═ 1, 1, 1, 1, 1 by boolean value conversion, the importance levels of the factor indicating the person concerned characterized by S0, the factor indicating the title characterized by S1, the factor indicating the time concerned characterized by S2, the factor indicating the place concerned characterized by S3, and the factor indicating the text (or remarks, or descriptions) characterized by S4 are important. Obviously, S0 ═ S1 ═ S2 ═ S3 ═ S4 ═ 1, and the key factors can be determined as S0, S1, S2, S3, S4.

And S118, displaying the key factors corresponding to the key factors.

Wherein the key factor is associated with one or more of the influencing factors, the key factor being used to indicate a reason why the information is important. The key factor is related to the influencing factor, which means that the key factor may include a keyword or a semantic of the influencing factor.

It is understood that the influencing factors include the relevant person factor characterized by S0, the title factor characterized by S1, the relevant time factor characterized by S2, the relevant place factor characterized by S3, and the text (or remark, or description, or descriptive content) factor characterized by S4.

For example, assume that the key factors are S0 and S3. The key factors corresponding to the key factors are related to the factors of the related persons and the factors of the related places.

Assume that the relevant person's factor is "superior a participates in this schedule". Keywords that can be extracted from the relevant person's factors include "superior". Semantics that can be obtained according to the relevant person's factors include, but are not limited to, "superior," "leader," "boss," and the like. The key factors are related to the factors of the relevant persons, and the key factors can be 'superior A participates in the current schedule', 'leadership A participates in the current schedule', 'Shangsha participates in the current schedule', 'boss A participates in the current schedule', and the like.

The factor of the relevant place is assumed to be that "this place is an important meeting place". Keywords that can be extracted from the factors of the relevant places include "important meeting place". Semantics that may be obtained based on the location-related factors include, but are not limited to, "important meeting locations," "strategic meeting rooms," "administrative meeting rooms," "corporate meeting rooms," and the like. The key factors are related to the factors of the relevant places, and the key factors can be that the local place is an important meeting place, the local place is a strategic meeting room, the local place is an administrative meeting room, the local place is a group meeting room, and the like.

The key factors can be displayed on an interface of an information list and also can be displayed on the interface of the information.

In one embodiment, the attribute (e.g., color, size, thickness, type, etc.) of the text font of the key factor may be changed, so as to remind the user that the key factor is the reason for determining that the information is important information.

Specifically, when the information list is an unread mail list, the first prompt information is highlighted near the title of an important mail in the unread mail list. The first prompt message is used for indicating that the important mail recipients have superior levels, indicating that the important mail recipients have superior levels A, or indicating that the meeting place related to the important mail is an important meeting place.

Wherein highlighting the first prompt message includes changing at least one of a color, a size, a thickness, and a type of a text font of the first prompt message, or highlighting the first prompt message.

For example, referring to FIG. 8, a mail application of the electronic device is launched and an inbox interface is displayed. On the interface of the inbox, an unread mail list is displayed, wherein the unread mail list comprises unread mails received at different times, for example, 4 unread mails received in 5 months and 12 days. Obviously, on the interface of the inbox, the text font of one mail is bolded and enlarged to mark the mail as an important mail, thereby reminding the user to pay attention to the mail. And displaying a first prompt message 'superior A is in the receiver' near the title of the mail, wherein the text font of the first prompt message is thickened and increased, so as to remind the user that the first prompt message 'superior A is in the receiver' is the reason for determining that the mail is an important mail.

When the information list is a schedule list, highlighting second prompt information near the title of an important schedule in the schedule list, wherein the second prompt information is used for indicating that the important schedule has a superior meeting to participate, or indicating that the important schedule has a superior A meeting to participate, or indicating that a meeting place related to the important schedule is an important meeting place.

And highlighting the second prompt message, wherein the highlighting of the second prompt message comprises changing at least one of color, size, thickness and type of a text font of the second prompt message, or highlighting the second prompt message.

For example, referring to FIG. 9, a calendar application on the electronic device is launched, the calendar application including a year, month, week, day, and schedule interface. The user can switch to the schedule interface of the calendar application by touching, clicking or sliding the screen. On the schedule interface, a schedule list is displayed, which includes schedules on different dates and different time periods, such as 2 months, 8 days, monday, lunar calendar, december (baccata), twenty-seven, 17: 00-18: two schedules of 00. Obviously, on the schedule interface, 2 months, 8 days, monday, lunar calendar, december (baculo), twenty-seven, 17: 00-18: two schedules of 00, conflict in time. The text font of one schedule is thickened and increased to mark the schedule as an important schedule, so that a user is reminded to pay attention to the schedule. And a second prompting message 'superior A participates in the schedule' is displayed near the title of the schedule, and the text font of the second prompting message is thickened and increased, so that the user is reminded that the second prompting message 'superior A participates in the schedule' is the reason for determining the schedule as an important schedule.

In another embodiment, one influencing factor of the important information is highlighted on the interface of the important information, and/or third prompt information related to the influencing factor is highlighted near the one influencing factor of the important information. The influence factor is one of the addressees or the meeting place, and the third prompt message is used for prompting that the addressee is the superior level or the meeting place is an important meeting place.

And highlighting the third prompt message, wherein the step of highlighting the third prompt message comprises changing at least one of color, size, thickness and type of a text font of the third prompt message or highlighting the third prompt message. Highlighting an influencing factor of the important information, including changing at least one of a color, a size, a thickness, a type of a text font of the influencing factor, or highlighting the influencing factor.

For example, referring to fig. 8 and 10, a mail application of the electronic device is launched and an interface of the inbox is displayed. And displaying an unread mail list on an interface of the inbox, wherein a title text font of one mail is thickened so as to mark the mail as an important mail. And, a first prompt message "upper level a is in the receiver" is displayed near the title of the important mail, and the text font of the first prompt message is bolded and enlarged. On the interface of the inbox, the user can switch to the interface of the important mails by touching or clicking the important mails in the unread mail list. On the interface of the important mail, the title (such as a scheme discussion meeting), the time (such as 5 months and 12 days), the receiver (such as A, B, C, D, E, F, G, H, I, J, K), the sender and the body of the important mail are shown. Obviously, in the receiver, a third prompt message "upper level" is displayed near a, and the text font of the third prompt message is thickened and increased, so as to remind the user that the third prompt message "upper level" is the reason for determining that the mail is an important mail.

It is understood that, in other embodiments, the steps S103, S104, and S105 may be executed serially, in parallel, or in a combination of serial and parallel. For example, when steps S103, S104, and S105 are executed in series, steps S104, S105, and S103 may be executed in sequence, steps S104, S103, and S105 may be executed in sequence, steps S105, S103, and S104 may be executed in sequence, and steps S105, S104, and S103 may be executed in sequence. When steps S103, S104, and S105 are performed in combination in series and in parallel, step S103 and step S105 may be performed in parallel after step S104 is performed, or step S103 and step S104 may be performed in parallel after step S105 is performed.

Similarly, the steps S109, S110, S111, S112, and S113 may be executed serially, may be executed in parallel, or may be executed in combination of serial and parallel.

The information management method according to the embodiment of the present application will be described below by taking an application scenario of a mail as an example.

Fig. 11 is a flowchart of another information management method provided in an embodiment of the present application.

Referring to fig. 11, the information management method includes:

s201, a mail is obtained.

It is to be understood that the mail piece includes one or more influencing factors. The influencing factors include, but are not limited to, related persons (e.g., recipient and sender), title, body, and the like.

In one embodiment, a mail application on an electronic device obtains a piece of mail. The mail may be a newly added mail in the mail application, or a mail that already exists in the mail application but has not been read yet.

The mail system database of the mail application is interfaced with the enterprise organization structure database, that is, the organization structure information stored in the enterprise organization structure database can be inquired through the mail application.

The organization structure information includes, but is not limited to, the organization relationship of the related person with the user, or the organization location (e.g., level or position) of the related person, etc.

S202, inquiring organization structure information of the relevant person of the mail.

It is understood that the organizational structure information of the relevant person of the mail is stored in the enterprise organizational structure database.

In one embodiment, the enterprise organizational structure database may be queried for organizational relationships between the relevant persons of the email and the user. For example, whether one of the related persons of the mail is the superior (or the same, or inferior) of the user.

In another embodiment, the organizational location of the relevant person of the email may be queried in the business organizational structure database. For example, whether the level of the relevant person of the mail is higher than a preset level threshold, or whether the position of the relevant person of the mail is a special position (for example, in a special project group, in a special department, or engaged in special work, etc.).

The term "in a special project group" may mean that a project group in which a related person is located is an important project group in an enterprise, the term "in a special department" may mean that a department in which the related person is located is an important department in the enterprise, and the term "engaging in special work" may mean that work engaged in by the related person is important work in the enterprise.

S203, judging whether one of the related persons of the mail is the superior (or the same level or the lower level) of the user. If yes, go to step S206. If not, no response is made.

For example, assuming that the enterprise organization structure is classified into 20 levels, the relatives of the mail include A, B and C. Wherein, the grade of A is 12 grades, the grade of B is 9 grades, the grade of C is 7 grades, A and B are in the same department, and the department of C is different from A (or B). Querying the organization relationship between A and B and the organization relationship between A (or B) and C in the enterprise organization structure database can determine that A is the upper level of B and A (or B) is not the upper level of C. Although the grade of A (or B) is higher than that of C, A (or B) and C do not have a superior-inferior relationship because they are in different departments.

S204, judging whether the level of the relevant person of the mail is higher than a preset level threshold value. If yes, go to step S207. If not, no response is made.

For example, suppose that the enterprise organization structure is divided into 20 levels according to levels, the related persons of the mail comprise D and E, and the preset level threshold is 15 levels. Wherein the level of D is 16 levels and the level of E is 12 levels. Querying the organization locations of D and E in the enterprise organizational structure database may determine that D is above the preset level threshold and E is below the preset level threshold.

S205, judging whether the post of the relevant person of the mail is a special post. If yes, go to step S208. If not, no response is made.

For example, assuming that the enterprise organization structure is classified into 20 levels, the relatives of the mail include F, G and H. Wherein, the grade of F is 10 grades, the grade of G is 8 grades, the grade of H is 6 grades, F is in a special project group, G is in a special department, and H is engaged in special work. Querying F, G the organizational location of H in the enterprise organizational structure database may determine that both positions F, G and H are marked as special positions.

S206, determining a weight factor E01 of the organization relation between the related person and the user.

It is understood that the weighting factor E01 is used to characterize the importance of the organizational relationship between the relevant person and the user.

In one embodiment, the value of the weighting factor E01 may be a boolean value 0 or 1. Wherein E01 ═ 0 indicates that the degree of importance of the organizational relationship of the relevant person to the user is unimportant. E01 ═ 1 indicates that the degree of importance of the organizational relationship between the relevant person and the user is important.

In another embodiment, the value of the weighting factor E01 may be a preset value j. Wherein j is a quantitative standard value of the importance degree of the organization relation between the related person and the user, and 0< j < 1. For example, j ═ 0.4 represents a quantitative criterion value of 0.4 for the degree of importance of the organizational relationship between the relevant person and the user.

And S207, determining the weight factor E02 of which the level of the related person is higher than a preset level threshold value.

It will be appreciated that the weighting factor E02 is used to characterize how important the level of the associated person is above a preset level threshold.

In one embodiment, the value of the weighting factor E02 may be a boolean value 0 or 1. Where E02 ═ 0 indicates that the degree of importance of the level of the relevant person above a preset level threshold is unimportant. E02 ═ 1 indicates that the degree of importance of the level of the relevant person above the preset level threshold is important.

In another embodiment, the value of the weighting factor E02 may be a preset value k. Wherein k is a quantization standard value of the importance degree of the level of the relevant person higher than a preset level threshold, and 0< k < 1. For example, k ═ 0.3 indicates that the quantization standard value of the degree of importance of the level of the relevant person above the preset level threshold is 0.3.

S208, determining the weight factor E03 of the position of the related person as a special position.

It will be appreciated that the weight factor E03 is used to characterize how important the relative position is to a particular position.

In one embodiment, the value of the weighting factor E03 may be a boolean value 0 or 1. Wherein E03 ═ 0 indicates that the degree of importance that the post of the relevant person is a special post is not important. E03 ═ 1 indicates that the degree of importance that the position of the relevant person is a special position is important.

In another embodiment, the value of the weighting factor E03 may be a preset value m. Wherein m is a quantization standard value of the importance degree that the post of the related person is a special post, and 0< m < 1. For example, a quantization standard value of 0.5 indicates the degree of importance of the position of the relevant person as a particular position.

S209, determining a weight factor E0 of the related person of the mail according to a plurality of weight factors E01, E02 and E03.

It is understood that the weighting factor E0 is used to characterize the degree of importance of the organizational structure information of the relevant person.

The organization structure information of the related person comprises the organization relation between the related person and the user, whether the level of the related person is higher than a preset level threshold value or not, and whether the post of the related person is a special post or not.

In one embodiment, the values of the weighting factors E01, E02, E03 are all boolean values 0 or 1, AND the weighting factor E0 is AND (E01, E02, E03).

For example, when the values of the weighting factors E01, E02, and E03 are all 1, the weighting factor E0 is 1, and it is important to indicate the degree of importance of the tissue structure information of the relevant person. When at least one of the values of the weighting factors E01, E02, E03 is 0, the weighting factor E0 is 0, which indicates that the degree of importance of the tissue structure information of the relevant person is unimportant.

Specifically, when (E01, E02, E03) ═ 1, 1, 1, the weighting factor E0 ═ 1, it is important to indicate the degree of importance of the tissue structure information of the relevant person. When (E01, E02, E03) is (0, 1, 1) or (1, 0, 1) or (1, 1, 0) or (0, 0, 1) or (0, 1, 0) or (1, 0, 0) or (0, 0, 0), the weighting factor E0 is 0, which indicates that the degree of importance of the tissue structure information of the relevant person is unimportant.

In another embodiment, (E01, E02, E03) ═ (j, k, m). Wherein j is a quantitative standard value of the importance degree of the organization relationship between the related person and the user, k is a quantitative standard value of the importance degree that the level of the related person is higher than a preset level threshold, m is a quantitative standard value of the importance degree that the post of the related person is a special post, and 0< j <1, 0< k <1, and 0< m < 1. The weighting factors E0 ═ AVG (E01, E02, E03) or MAX (E01, E02, E03). Wherein E0 ═ AVG (E01, E02, E03) means the average value of E0 as E01, E02, E03. E0 ═ MAX (E01, E02, E03) means that the value of E0 is the maximum of E01, E02, E03.

For example, when (E01, E02, E03) ═ 0.4, 0.3, 0.5, if E0 ═ AVG (E01, E02, E03), then E0 ═ 0.4, and the quantized standard value indicating the degree of importance of the tissue structure information of the relevant person is 0.4. If E0 is MAX (E01, E02, E03), E0 is 0.5, and the quantitative criterion value indicating the importance of the tissue structure information of the relevant person is 0.5.

It can be understood that the value of the weighting factor E0 is determined by the values of the weighting factors E01, E02, and E03, and the values of the weighting factors E01, E02, and E03 can be set as required.

S210, determining a weight factor E1 of the title of the mail according to a set of preset title keywords or a set of preset title semantics.

It will be appreciated that the weighting factor E1 is used to characterize the importance of the title of the mail.

The title of the mail includes title keywords or title semantics. The title key words refer to key words extracted from the title text of the mail. The title semantics refers to semantics obtained by performing intention recognition or semantic expansion on the title keywords.

For example, assume that the subject text of the mail is "5G technical seminar". The title keywords that can be extracted from the title text of the mail include "5G technology". The title semantics that can be obtained from the title text of the mail include, but are not limited to, "5G technology," "eMBB," "urrllc," "mtc," and the like.

In one embodiment, the header semantics may be text classified using an NLP semantic classification model to determine whether the header semantics are semantics in a set of preset header semantics. The NLP semantic classification model includes, but is not limited to, NB model, RF model, SVM model, KNN model, FastText model, TextCNN model, and the like.

When the title keyword is determined to be a keyword in the set of preset title keywords or the title semantic is determined to be a semantic in the set of preset title semantic, the importance degree of the title of the mail can be determined to be important.

When it is determined that the title keyword is not a keyword in the set of preset title keywords or that the title semantics are not semantics in the set of preset title semantics, it may be determined that the importance degree of the title of the mail is unimportant.

For example, assuming that the title text of the mail is "mMTC technical workshop," the importance level of the title of the mail is determined according to the set of the preset title keywords. The title key words that can be extracted from the title text of the mail include "mtc technology". The set of preset title keywords comprises "5G technology". Obviously, the title keyword (i.e., "mtc technology") is not a keyword in the set of preset title keywords (i.e., "5G technology"), and it may be determined that the importance degree of the title of the mail is not important.

And assuming that the title text of the mail is 'mMTC technical workshop', and determining the importance degree of the title of the mail according to the set of preset title semantics. The title semantics which can be obtained according to the title text of the mail comprise an mMTC technology and a 5G technology. The set of preset title semantics includes "5G technology". Obviously, the "5G technology" in the header semantics (i.e., "mtc technology" and "5G technology") is a semantic in a set of preset header semantics (i.e., "5G technology"), and it may be determined that the importance degree of the header of the mail is important.

In one embodiment, the value of the weighting factor E1 may be a boolean value 0 or 1. Where E1 ═ 0 indicates that the importance of the title of the mail is not important. E1 ═ 1 indicates that the importance of the mail title is important.

In another embodiment, the value of the weighting factor E1 may be the confidence n. The confidence n represents that the probability that the title keyword of the mail is a keyword in the preset title keyword set (i.e., the confidence interval) is n. Alternatively, the confidence n may also indicate that the probability that the title semantic is a semantic in a set of preset title semantics (i.e., confidence interval) is n.

S211, determining a weight factor E2 of the mail text according to a set of preset text keywords or a set of preset text semantics.

It will be appreciated that the weighting factor E2 is used to characterize the importance of the body of the mail.

The text of the mail comprises text keywords or text semantics. The text keywords refer to keywords extracted from the text of the mail. The text semantics refers to semantics obtained by performing intention recognition or semantic expansion on the text keywords.

For example, assume that the body text of the mail is "application scenario for researching 5G technology". The text key words which can be extracted from the text of the mail body comprise the 5G technology. The body semantics that can be obtained from the body text of the mail include, but are not limited to, "5G technology", "eMBB", "urrllc", "mtc", and the like.

In one embodiment, the text semantics may be text classified using an NLP semantic classification model to determine whether the text semantics are the semantics in a set of preset text semantics. The NLP semantic classification model includes, but is not limited to, NB model, RF model, SVM model, KNN model, FastText model, TextCNN model, and the like.

When the text keyword is determined to be a keyword in the set of preset text keywords or the text semantic is determined to be a semantic in the set of preset text semantics, the importance degree of the text of the mail can be determined to be important.

When it is determined that the text keyword is not a keyword in the set of preset text keywords or that the text semantics is not a semantics in the set of preset text semantics, it may be determined that the importance degree of the text of the mail is unimportant.

For example, assuming that the body text of the mail is "an application scene for researching eMBB technology", the importance degree of the body of the mail is determined according to the set of preset body keywords. The body key that can be extracted from the body text of the mail includes "eMBB technology". The set of preset text keywords comprises a "5G technique". Obviously, the text keyword (i.e., "eMBB technology") is not a keyword in the set of preset text keywords (i.e., "5G technology"), and it may be determined that the importance degree of the text of the mail is unimportant.

And assuming that the text of the mail is an application scene for researching eMBB technology, and determining the importance degree of the text of the mail according to the set of the preset text semantics. The text semantics which can be obtained according to the text of the mail comprise an eMBB technology and a 5G technology. The set of preset text semantics includes "5G technology". Obviously, the "5G technology" in the text semantics (i.e., "eMBB technology" and "5G technology") is a semantic in a set of preset text semantics (i.e., "5G technology"), and it may be determined that the importance degree of the text of the mail is important.

In one embodiment, the value of the weighting factor E2 may be a boolean value 0 or 1. Where E2 ═ 0 indicates that the degree of importance of the body of the mail is not important. E2 ═ 1 indicates that the importance level of the body of the mail is important.

In another embodiment, the value of the weighting factor E2 may be the confidence v. The confidence degree v represents that the probability that the text keywords of the mail are the keywords in the preset text keyword set (namely, the confidence interval) is v. Alternatively, the confidence v may also indicate that the probability that the text semantic is a semantic in a set of preset text semantics (i.e., a confidence interval) is v.

S212, determining a quantization standard value E-score of the mail according to a plurality of weighting factors E0, E1 and E2.

It will be appreciated that the quantitative criterion E-score is used to characterize the importance of the mail.

In one embodiment, the quantization standard value E-score can be calculated by formula (2):

E-score＝μ0*E0+μ1*E1+μ2*E2 (2)

wherein μ 0 is the normalized parameter of the weighting factor E0, μ 1 is the normalized parameter of the weighting factor E1, and μ 2 is the normalized parameter of the weighting factor E2.

It can be understood that the larger the values of the plurality of normalization parameters μ 0, μ 1, and μ 2 are, the higher the importance degree of the influence factors of the mail represented by the corresponding plurality of weighting factors E0, E1, and E2 is. The influencing factors of the mail include the factor of the related person characterized by E0, the factor of the title characterized by E1, and the factor of the body characterized by E2.

In one embodiment, the plurality of normalization parameters μ 0, μ 1, μ 2 satisfy the second relationship, or satisfy a portion of the second relationship. Wherein the second relationship is: μ 0> μ 1> μ 2.

Specifically, in equation (2), a plurality of normalization parameters μ 0, μ 1, μ 2 may be set to satisfy: μ 0> μ 1> μ 2. That is, among the above influencing factors, the importance of the related person factor is highest, followed by the title factor and finally the text factor. For example, μ 0 ═ 0.5, μ 1 ═ 0.3, and μ 2 ═ 0.2.

In equation (2), a plurality of normalization parameters μ 0, μ 1, μ 2 may also be set to satisfy: μ 0> μ 1, μ 2 ═ 0. That is, among the above-mentioned influencing factors, the importance of the mail is determined by the factors of the relevant person and the title. Wherein the related person factor is more important than the title factor. For example, μ 0 ═ 0.7 and μ 1 ═ 0.3.

It is understood that the values of the plurality of normalization parameters μ 0, μ 1, and μ 2 can be set as required, i.e., the second relationship can be set as required.

S213, judging whether the quantization standard value E-score of the mail is larger than a preset quantization threshold value. If yes, go to step S214. If not, no response is made.

For example, assume that the predetermined quantization threshold is 0.8. When the quantization standard value E-score of the mail is 0.9 calculated by formula (2), it may be determined that the quantization standard value E-score of the mail is greater than the preset quantization threshold value. When the quantization standard value E-score of the mail is 0.5 calculated by formula (2), it may be determined that the quantization standard value E-score of the mail is smaller than the preset quantization threshold value.

It is understood that the value of the preset quantization threshold may be set as required.

S214, the mail is marked as an important mail.

In one embodiment, the mail can be marked by changing the attribute of the text font of the mail, so that the user is reminded to focus on the mail. Wherein the attribute of the text font comprises at least one of: color, size, thickness, type.

For example, referring to FIG. 12, a mail application of the electronic device includes an interface to an inbox. On the interface of the inbox, mails received at different times, for example 4 mails received in 5 months and 12 days, are displayed. Obviously, on the interface of the inbox, the text font of one mail is bolded and enlarged, so that the mail is obviously different from other mails in the mail list, and the user is reminded to focus on the mail.

In another embodiment, referring again to fig. 7, the mail may also be marked by adding a mark (e.g., text or symbol, etc.) next to the title of the mail, thereby reminding the user to focus on the mail.

In other embodiments, the mails marked as important mails may be prioritized in a mail list to remind the user to pay more attention to the mails.

S215, determining a key factor of the mail according to a plurality of weight factors E0, E1 and E2.

It will be appreciated that the key factors are used to characterize why the mail is determined to be important. The key factor is one or more of a plurality of weight factors E0, E1, E2.

In one embodiment, whether a weighting factor is the key factor may be determined by presetting a key threshold.

Specifically, for a plurality of weighting factors E0, E1, E2, a corresponding plurality of preset key thresholds are set, respectively. When the value of a weighting factor is greater than the corresponding preset key threshold, the weighting factor can be determined as the key factor.

For example, the preset critical threshold corresponding to the weighting factor E0 is set to 0.5, the preset critical threshold corresponding to the weighting factor E1 is set to 0.3, and the preset critical threshold corresponding to the weighting factor E2 is set to 0.4. When E0>0.5, the weighting factor E0 may be determined to be the key factor. When E1>0.3, the weighting factor E1 may be determined to be the key factor. When E2>0.4, the weighting factor E2 may be determined to be the key factor.

In another embodiment, a plurality of weight factors E0, E1, E2 may be compared to determine the key factor.

Specifically, the key factors are determined by first performing normalization (e.g., normalization) on a plurality of weighting factors E0, E1, E2, then comparing the magnitude of each weighting factor, and sorting according to the comparison result.

For example, the weighting factors E0, E1, and E2 all take the boolean value of 0 or 1. Assuming that (E0, E1, E2) ═ 1, 0, it indicates that, among the plurality of weighting factors E0, E1, E2, the degree of importance of the factor of the relevant person characterized by E0 is important, and the degrees of importance of the factor of the title characterized by E1 and the factor of the body characterized by E2 are unimportant. Obviously, E0 is 1, E1 is E2 is 0, E0> E1, and the key factors are ranked from large to small as E0, E1, and E2, and can be determined as E0.

In another embodiment, the values of the weighting factors may be converted into boolean values 0 or 1 by presetting a key threshold, and then the values of the weighting factors are compared and sorted according to the comparison result, so as to determine the key factors.

For example, the preset critical threshold corresponding to the weighting factor E0 is set to 0.5, the preset critical threshold corresponding to the weighting factor E1 is set to 0.3, and the preset critical threshold corresponding to the weighting factor E2 is set to 0.4. When E0>0.5, determine E0 ═ 1; when E0 is less than or equal to 0.5, E0 is determined to be 0. When E1>0.3, determining E1 ═ 1; when E1 is less than or equal to 0.3, E1 is determined to be 0. When E2>0.4, determine E2 ═ 1; when E2 is less than or equal to 0.4, E2 is determined to be 0. Assuming that by boolean conversion, (E0, E1, E2) ═ 1, 1, 0), the importance levels of the factors representing the relevant person characterized by E0 and the title characterized by E1 are important, and the importance levels of the factors of the body characterized by E2 are not important. Obviously, E0-E1-1, E2-0, E0> E2, and sorted from large to small as E0, E1, and E2, the key factors may be determined as E0 and E1.

S216, displaying the key factors corresponding to the key factors.

Wherein the key factor is associated with one or more of the influencing factors, the key factor being used to indicate a reason why the information is important. The key factor is related to the influencing factor, which means that the key factor may include a keyword or a semantic of the influencing factor.

It is understood that the influencing factors include the factor of the related person characterized by E0, the factor of the title characterized by E1, and the factor of the body characterized by E2.

For example, assume that the key factors are E0 and E1. The key factors corresponding to the key factors are related to the factors of the related persons and the factors of the titles.

Assume that the relevant person's factor is "superior a is in recipient". Keywords that can be extracted from the relevant person's factors include "superior". Semantics that can be obtained according to the relevant person's factors include, but are not limited to, "superior," "leader," "boss," and the like. The key factors are related to the relevant person's factors, which may be "superior a in recipient", "leader a in recipient", "boss a in recipient", etc.

Assume that the title factor is "scheme seminar". Keywords that can be extracted from the factors of the title include "scheme". Semantics that may be obtained from the title factors include, but are not limited to, "solution," "technology," "solution communication," "technical communication," and the like. The key factor is related to the factor of the title, and the key factor may be "scheme", "technique", "scheme communication", "technique communication", and the like.

The key factors can be displayed on an interface of an unread email list and can also be displayed on an interface of the email.

In one embodiment, the text font property (e.g., color, size, thickness, type, etc.) of the key factor may be changed to alert the user that the key factor is the reason for determining that the mail is important.

It is understood that, in other embodiments, the steps S203, S204, and S205 may be executed serially, may also be executed in parallel, or may also be executed in combination of serial and parallel. For example, when steps S203, S204, and S205 are executed in series, steps S204, S205, and S203 may be executed in sequence, steps S204, S203, and S205 may be executed in sequence, steps S205, S203, and S204 may be executed in sequence, and steps S205, S204, and S203 may be executed in sequence. When steps S203, S204, and S205 are performed in combination in series and in parallel, step S203 and step S205 may be performed in parallel after step S204 is performed, or step S203 and step S204 may be performed in parallel after step S205 is performed.

Similarly, the steps S209, S210, and S211 may be executed serially, in parallel, or in a combination of serial and parallel.

Fig. 13 is a flowchart of another information management method according to an embodiment of the present application.

Referring to fig. 13, the information management method includes:

and S301, responding to the first operation, and displaying an interface of the information list.

It is understood that the first operation is used to start an application program (e.g., mail, text message, calendar or memo, etc.) on the electronic device to display a Graphical User Interface (GUI) of the application program. The first operation includes, but is not limited to, touching, clicking, sliding the display screen, and the like.

In one embodiment, an information management application on the electronic device displays an interface for a list of information in response to a first operation.

For example, referring again to FIG. 7, a mail application on the electronic device displays an interface to the inbox (i.e., an interface to the unread mail list) in response to the first operation.

The resource database of the information management application is interfaced with the enterprise organization structure database, that is, the organization structure information stored in the enterprise organization structure database can be queried through the information management application.

The organization structure information includes, but is not limited to, organization relationship between the relevant person and the user, organization location (e.g., level or position) of the relevant person, and the like.

In another embodiment, an information management module in an application (e.g., calendar or mail, etc.) on the electronic device displays an interface for a list of information in response to the first operation.

For example, referring again to fig. 6, a calendar application on the electronic device includes a schedule management module that displays a schedule interface (i.e., an interface of a schedule list) in response to a first operation.

The resource database of the application is interfaced with the enterprise organization structure database, that is, the organization structure information stored in the enterprise organization structure database can be inquired through the application.

S302, marking important information in the information list on the interface of the information list.

It can be understood that, before marking the important information in the information list, it is necessary to confirm which information in the information list is important information.

The step of confirming that the information is important information may refer to the description of steps S101 to S116 of the above-described embodiment of the information management method. And will not be described in detail herein.

In one embodiment, referring again to fig. 6 and 12, on the interface of the information list, the important information can be marked by changing the attribute (e.g., color, size, thickness, type, etc.) of the text font of the important information.

In another embodiment, referring to fig. 7 again, on the interface of the information list, the important information may also be marked by adding a mark (e.g. a word or a symbol, etc.) beside the title of the important information.

In another embodiment, the important information may be preferentially arranged in the information list on the interface of the information list.

And S303, responding to the second operation on the title of the important information, and displaying the interface of the important information.

It is to be understood that the second operation is to switch the interface of the information list to the interface of the important information. The second operation includes, but is not limited to, touching, clicking, sliding the display screen, and the like.

For example, a user may first click on a mail application icon on the electronic device, the mail application starts, and a display screen of the electronic device displays an interface of the unread mail list. And highlighting an important mail on the interface of the unread mail list, wherein a user can click the title of the important mail, and the display screen of the electronic equipment switches the interface for displaying the important mail.

S304, highlighting key factors of the important information on the interface of the important information.

It is understood that the key factor represents a reason for determining information as important information. The key factors are associated with one or more of the influencing factors. The influencing factors include, but are not limited to, related persons, titles, related times, related places, texts (or notes, or descriptions, or descriptive contents), and the like.

Before the key factors of the important information are highlighted, the key factors need to be confirmed. The step of confirming the key factor may refer to the description of steps S117 to S118 of the above embodiment of the information management method. And will not be described in detail herein.

In one embodiment, referring to fig. 10 again, on the interface of the important information, the attribute (e.g., color, size, thickness, or type) of the text font of the key factor may be changed, so as to remind the user that the key factor is the reason for determining the information as the important information, thereby helping the user quickly determine whether the information is important and the importance level.

Fig. 14 is a flowchart of another information management method provided in an embodiment of the present application. The information management method according to the present embodiment is different from the above-described embodiments in that, in the present embodiment, the key factor of the important information is displayed on the interface of the information list, and the user does not need to switch the interface of the information list to the interface of the important information by the second operation.

Referring to fig. 14, the information management method includes:

s401, responding to the first operation, and displaying an interface of the information list.

Step S401 is the same as step S301, and the description of step S301 can be referred to. And will not be described in detail herein.

S402, marking important information in the information list on the interface of the information list.

For example, referring to FIG. 12, a mail application on the electronic device displays an interface to the inbox (i.e., an interface to the unread mail list) in response to the first operation. Obviously, on the interface of the inbox, the text font of one mail is bolded and enlarged, so that the mail is obviously different from other mails in the mail list, and the user is reminded to focus on the mail.

Step S402 is the same as step S302, and the description of step S302 can be referred to. And will not be described in detail herein.

And S403, highlighting key factors of the important information.

In one embodiment, referring to fig. 8 again, on the interface of the information list, the attribute (e.g., color, size, thickness, or type) of the text font of the key factor may be changed, so as to remind the user that the key factor is the reason for determining that the information is important information, thereby helping the user quickly determine whether the information is important and how important the information is.

Fig. 15 is a schematic view of an application scenario of another information management method.

Referring to fig. 15, a mail application on the electronic device presents a mail for a meeting notification. The mail for the meeting notification includes time (e.g., 14: 10-15: 30, 2, 19, five, 10, 19, 2021), location, participant (e.g., A, B, C, D, E, F, G, H, I, J, K), and meeting conflict information. The meeting conflict information shows that the meeting conflicts with another appointment and shows the time (e.g., 14: 00-15: 30 friday, 2 months, 19 days, 2021) and location of the other appointment. Obviously, the meeting time of the present meeting conflicts with the time of the other appointment. In the participants, a key factor 'superior' is added beside A, and the size and thickness of the text font of the key factor are obviously different from those of other participants, so that the user is reminded that the conference is more important than the other appointments. Moreover, the key factors show the reason that the importance degree of the conference is higher, namely, the superior A participates in the conference.

Fig. 16 is a schematic view of an application scenario of another information management method.

Referring to fig. 16, a schedule management application on an electronic device presents a schedule for a project conference. The schedule of the program conference includes the subject of the conference, the time (e.g., 14: 10-15: 30 at five pm, 2/19/d/2021), the location, the convener, and the conferee (e.g., A, B, C, D, E, F, G, H, I, J, K). Obviously, on the interface of the schedule, a key factor "superior" is added beside a participant in the schedule, and the size and thickness of the text font of the key factor are significantly different from those of other participants, so as to remind the user that the scheme discussion is an important conference that must participate. Moreover, the key factor shows the reason why the project conference is an important meeting that must be participated in, i.e. there is superior a participating in the project conference.

Fig. 17 is a schematic view of an application scenario of another information management method.

Referring to FIG. 17, a schedule management application on an electronic device presents a schedule for a project conference. The schedule of the program conference includes the subject of the conference, the time (e.g., 14: 10-15: 30 at five pm, 2/19/d 2021), the location (e.g., XXXX building 3000 conference room), the convener, and the conferee (e.g., A, B, C, D, E, F, G, H, I, J, K). Obviously, on the interface of the schedule, a key factor "this place is an important meeting place" is added beside the place, and the thickness and size of the text font of the place and the key factor are significantly different from other texts (for example, the text of the time). And in the conference participants, a key factor 'superior' is added beside the A, and the thickness of the text font of the key factor is obviously different from that of other conference participants, so that the user is reminded that the scheme discussion is an important conference which must participate. Furthermore, the key factors added beside the location and the attendee a respectively show the reason that the plan discussion can be an important meeting which must participate, namely, the location of the plan discussion can be an important meeting location, and the plan discussion can participate in upper level a.

Fig. 18 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application.

Referring to fig. 18, the electronic device 100 includes a memory 101, a processor 102, and a display screen 103, the display screen 103 is used for displaying a graphical user interface, the memory 101 is used for storing a computer program, and when the computer program is executed by the processor 102, the information management method according to the embodiment of the present application is implemented.

The above elements of the electronic device 100 may be connected by a bus or may be directly connected.

The memory 101 includes volatile or non-volatile memory devices such as Digital Versatile Disks (DVDs) or other optical disks, magnetic disks, hard disks, Smart Memory Cards (SMCs), Secure Digital (SD) cards, Flash memory cards (Flash cards), and the like.

The Processor 102 includes a Central Processing Unit (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like.

The display screen 103 includes a display panel. The Display panel may adopt a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), an Active Matrix Organic Light-Emitting Diode (Active-Matrix Organic Light-Emitting Diode, AMOLED), a flexible Light-Emitting Diode (FLED), a Mini-LED, a Micro-OLED, a Quantum dot Light-Emitting Diode (QLED), or the like. In some embodiments, the electronic device 100 may include 1 or N display screens 103, N being a positive integer greater than 1.

It is to be understood that the electronic device 100 may also include more or fewer elements, or have a different arrangement of elements.

The embodiment of the present application further provides a storage medium for storing a computer program, and when the computer program is executed by a processor, the information management method of the embodiment of the present application is implemented.

The storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Storage media includes, but is not limited to, Random Access Memory (RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), flash Memory or other Memory, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical Disc storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.

The embodiments of the present application have been described in detail with reference to the drawings, but the present application is not limited to the embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present application.

Claims (15)

1. An information management method applied to an electronic device, the information management method comprising:

responding to the first operation, and displaying an interface of the information list;

highlighting important information in the information list on an interface of the information list;

the highlighting of important information in the list of information includes:

marking important information in the information list;

and displaying key factors of the important information, wherein the key factors are related to one or more of the influencing factors of the important information, and the key factors are used for prompting the important reason of the important information.

2. The information management method according to claim 1, wherein the information list is an unread mail list, and the key factors for displaying the important information include:

and displaying first prompt information near the title of an important mail in the unread mail list, wherein the first prompt information is used for indicating that the important mail has a higher level in the recipients, indicating that the important mail has a higher level A in the recipients, or indicating that the meeting place related to the important mail is an important meeting place.

3. The information management method according to claim 1, wherein the information list is a schedule list, and the key factors for displaying the important information include:

and displaying second prompt information near the title of an important schedule in the schedule list, wherein the second prompt information is used for indicating that the important schedule has a superior meeting to participate, or indicating that the important schedule has a superior A meeting to participate, or indicating that a meeting place related to the important schedule is an important meeting place.

4. The information management method according to any one of claims 1 to 3, wherein the marking of the important information in the information list includes one or more of:

changing at least one of color, size, thickness and type of text font of the title of the important information; alternatively, the first and second electrodes may be,

adding an identifier beside the title of the important information, wherein the identifier comprises words and/or symbols; alternatively, the first and second electrodes may be,

and prioritizing the important information in the information list.

5. The information management method according to any one of claims 1 to 4, wherein the information management method further comprises:

displaying an interface of the important information in response to a second operation on a title of the important information, wherein,

and highlighting an influence factor of the important information on the interface of the important information, and/or highlighting third prompt information related to the influence factor near the influence factor of the important information, wherein the influence factor is one of a receiver or a meeting place, and the third prompt information is used for prompting that the receiver is a superior level or the meeting place is an important meeting place.

6. The information management method according to any one of claims 1 to 5, wherein before the marking of the important information in the information list, the information management method further comprises:

carrying out quantization processing on the influence factors of the information to determine that the information is important information; wherein the information comprises any one of a schedule, a mail, a short message, a notification message and a note.

7. The information management method according to claim 6, wherein the quantifying the influence factor on the information to determine that the information is important information includes:

determining a weighting factor for the influencing factors, the influencing factors including at least one of: related person, title, related time, related place and text;

determining a quantization standard value of the information according to the weight factor;

and if the quantization standard value is larger than a preset quantization threshold value, determining that the information is important information.

8. The information management method of claim 7, wherein the determining the weighting factor for the influencing factor comprises:

inquiring the organization structure information of the related person;

determining a weighting factor S0 for the relevant person based on the tissue structure information.

9. The information management method according to claim 8, wherein the organization structure information includes an organization relationship of the related person with a user, and an organization position of the related person; wherein the organization location comprises a level and a position.

10. The information management method according to claim 8 or 9, wherein the determining a weight factor S0 of the relevant person based on the organization structure information includes:

determining a weighting factor S01 for the organizational relationship between the relevant person and the user;

determining a weighting factor for the level of the relevant person S02;

determining a weighting factor S03 for the position of the relevant person;

determining the weighting factor S0 according to a plurality of the weighting factors S01, S02, S03.

11. The information management method according to any one of claims 8 to 10, wherein the determining the weight factor of the influence factor includes:

determining a weight factor S1 of the title according to a set of preset title keywords or a set of preset title semantics; and/or the presence of a gas in the gas,

determining a weighting factor S2 of the relevant time according to a preset time period; and/or the presence of a gas in the gas,

determining a weighting factor S3 of the relevant location according to a set of preset locations; and/or the presence of a gas in the gas,

and determining the weight factor S4 of the text according to the set of preset text keywords or the set of preset text semantics.

12. The information management method according to claim 11, wherein the quantization standard value is:

Score＝λ0*S0+λ1*S1+λ2*S2+λ3*S3+λ4*S4

wherein λ 0 is the normalized parameter of the weighting factor S0, λ 1 is the normalized parameter of the weighting factor S1, λ 2 is the normalized parameter of the weighting factor S2, λ 3 is the normalized parameter of the weighting factor S3, and λ 4 is the normalized parameter of the weighting factor S4; a plurality of the normalization parameters satisfy a first relationship, or satisfy a portion of the first relationship, the first relationship being: λ 0> λ 1> λ 3> λ 2> λ 4.

13. The information management method according to any one of claims 7 to 12, wherein the key factors for displaying the important information include:

determining a key factor of the important information according to a plurality of weight factors, wherein the key factor is one or more of the weight factors;

and displaying the key factors corresponding to the key factors.

14. An electronic device comprising a memory, a processor and a display screen for displaying a graphical user interface, the memory being adapted to store a computer program, wherein the computer program, when executed by the processor, implements the information management method of any one of claims 1 to 13.

15. A storage medium storing a computer program for implementing an information management method according to any one of claims 1 to 13 when the computer program is executed by a processor.

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