CN115660578A

CN115660578A - Searching method, searching device, electronic equipment and storage medium

Info

Publication number: CN115660578A
Application number: CN202211270039.6A
Authority: CN
Inventors: 简嘉威; 史振元; 丁利杰
Original assignee: Beijing Kingsoft Office Software Inc; Zhuhai Kingsoft Office Software Co Ltd; Wuhan Kingsoft Office Software Co Ltd
Current assignee: Beijing Kingsoft Office Software Inc; Zhuhai Kingsoft Office Software Co Ltd; Wuhan Kingsoft Office Software Co Ltd
Priority date: 2022-10-17
Filing date: 2022-10-17
Publication date: 2023-01-31

Abstract

The embodiment of the invention relates to a searching method, a searching device, electronic equipment and a storage medium, wherein the searching method comprises the following steps: responding to a received search request, and determining at least one target user, wherein the search request carries a user identifier of each target user; determining at least one target collaboration object according to the at least one target user, wherein collaboration users of the target collaboration object comprise the at least one target user; and determining a search result corresponding to the search request according to at least one target cooperation object. Therefore, the search of the collaboration object can be realized by taking the collaboration user as the entry point. Because the memory point of the user for the cooperative user is often better than the memory point of the user for the object name, compared with the object search by using the object name as a keyword, the object search by using the cooperative user as the entry point has better search effect and improves the user experience.

Description

Searching method, searching device, electronic equipment and storage medium

Technical Field

The embodiment of the invention relates to the field of computers, in particular to a searching method, a searching device, electronic equipment and a storage medium.

Background

The existing collaboration tools support multiple people to edit the same object (which may be a document, a project, a schedule, a backlog, a conference agenda, etc.) together. Furthermore, the existing collaboration tool also supports object search by using the object name as a keyword.

Therefore, the existing collaboration tool supports object search and depends on the memory of the user for the object name, however, in practical application, various factors exist, for example, the object name is created by other collaboration users, so that the memory of the user for the object name is not good, and the object search effect is further influenced.

Disclosure of Invention

In view of the above, embodiments of the present invention provide a searching method, an apparatus, an electronic device and a storage medium to solve the above technical problems.

In a first aspect, an embodiment of the present invention provides a search method, including:

responding to a received search request, and determining at least one target user, wherein the search request carries a user identifier of each target user;

determining at least one target collaboration object according to the at least one target user, wherein collaboration users of the target collaboration object comprise the at least one target user;

and determining a search result corresponding to the search request according to at least one target cooperative object.

In a possible implementation manner, before the responding to the received search request, the method further includes:

presenting a user cooperation relationship network, wherein the user cooperation relationship network comprises a plurality of user nodes and a plurality of connecting edges, each user node corresponds to one user, and the connecting edges are used for connecting the user nodes corresponding to two users with cooperation relationship;

the search request is realized to carry the user identification of each target user in the following modes:

receiving the selected operation of a first user on at least one user node in the user cooperation relationship network;

determining the first user and the user corresponding to each selected user node in the user cooperation relationship network as target users;

carrying the user identification of each target user in the search request;

wherein the first user is an originator of the search request.

receiving the selection operation of a first user on at least one user node in the user cooperation relationship network;

determining users corresponding to each selected user node in the user cooperation relationship network as target users;

carrying the user identification of each target user in the search request;

wherein the first user is an originator of the search request.

In a possible implementation manner, the search request is implemented to carry the user identifier of each target user by:

determining at least one second user having a collaborative relationship with the first user;

determining the first user and at least one second user as target users;

carrying the user identification of each target user in the search request;

wherein the first user is an initiator of the search request.

In a possible implementation manner, the presenting the user collaboration relationship network includes:

determining a user node to be presented from a constructed original user cooperation relationship network, wherein a weight parameter of a connecting edge between the user node to be presented and a first user node meets a set condition, the weight parameter is used for representing the closeness degree of cooperation relationship between two users connected by the connecting edge, and the first user node is a user node corresponding to the first user;

and deleting other user nodes except the user node to be presented from the original user cooperation relationship network to obtain the user cooperation relationship network to be presented, and presenting the user cooperation relationship network.

In a possible implementation manner, the original user collaboration relation network is constructed by the following method:

acquiring user cooperation data of a plurality of users;

and inputting the user cooperation data of the plurality of users to a pre-trained intelligent model to obtain the original user cooperation relationship network.

In a possible embodiment, the user collaboration data includes a plurality of different types of user collaboration data, wherein different types of user collaboration data are set with different feature weights, and the plurality of different types of user collaboration data includes at least two of: object rights data, collaboration behavior data, and personnel organization architecture data.

In a possible embodiment, after the determining at least two target users, the method further includes:

and rendering a target user node in the user cooperation relationship network according to a preset rendering mode, wherein the target user node is a user node corresponding to the target user.

In a possible implementation manner, the presented connection edge in the user collaboration relation network is rendered based on a weight parameter of the connection edge:

the weight parameter is used for representing the closeness degree of the cooperation relation between the two users connected by the connection edge.

In a possible implementation, the determining at least one target collaboration object according to the at least one target user includes:

searching a user-cooperative object map according to at least one target user to obtain at least one target cooperative object which has an association relation with at least one target user in the user-cooperative object map;

wherein the user-collaboration object graph comprises an association relationship between a collaboration object and a collaboration user.

In a possible implementation manner, the determining, by the at least one target collaboration object, a search result corresponding to the search request includes:

executing the following processing for each target cooperation object: determining the closeness degree of the cooperation relationship between the cooperation users of the target cooperation object;

sequencing the target cooperation objects according to the corresponding tightness degree;

and determining a search result corresponding to the search request according to the sequencing results of the target collaboration objects.

In a second aspect, an embodiment of the present invention provides a search apparatus, including:

the first determining module is used for responding to a received search request and determining at least one target user, wherein the search request carries a user identifier of each target user;

a second determining module, configured to determine at least one target collaboration object according to the at least one target user, where the collaboration users of the target collaboration object include the at least one target user;

and the result determining module is used for determining a search result corresponding to the search request according to at least one target cooperative object.

In a possible embodiment, the apparatus further comprises:

a presentation module, configured to present a user collaboration relation network before responding to the received search request, where the user collaboration relation network includes a plurality of user nodes and a plurality of connection edges, each user node corresponds to one user, and each connection edge is used to connect the user nodes corresponding to two users having a collaboration relation;

the search module is configured to implement that the search request carries the user identifier of each target user in the following manner:

receiving the selection operation of a first user on at least one user node in the user cooperation relationship network; determining the first user and the user corresponding to each selected user node in the user cooperation relationship network as target users; carrying the user identification of each target user in the search request; wherein the first user is an initiator of the search request.

In a possible embodiment, the apparatus further comprises:

receiving the selection operation of a first user on at least one user node in the user cooperation relationship network; determining users corresponding to each selected user node in the user cooperation relationship network as target users; carrying the user identification of each target user in the search request; wherein the first user is an initiator of the search request.

In a possible embodiment, the apparatus further comprises:

determining at least one second user having a collaborative relationship with the first user; determining the first user and at least one second user as target users; carrying the user identification of each target user in the search request; wherein the first user is an initiator of the search request.

In a possible implementation manner, the presentation module is specifically configured to:

deleting the user nodes except the user node to be presented from the original user cooperation relationship network to obtain the user cooperation relationship network to be presented, and presenting the user cooperation relationship network

In a possible embodiment, the apparatus further comprises:

the construction module is used for constructing and obtaining the original user collaboration relation network in the following way:

acquiring user cooperation data of a plurality of users; and inputting the user cooperation data of the plurality of users to a pre-trained intelligent model to obtain the original user cooperation relationship network.

In a possible embodiment, the apparatus further comprises:

and the rendering module is used for rendering a target user node in the user cooperation relationship network according to a preset rendering mode after the at least two target users are determined, wherein the target user node refers to a user node corresponding to the target user.

In a possible implementation manner, the second determining module is specifically configured to:

wherein the user-collaboration object graph comprises an association between a collaboration object and a collaboration user.

In a possible implementation manner, the target collaboration object includes a plurality of objects, and the result determination module includes:

a first determination unit configured to perform the following processing for each of the target cooperation objects: determining the closeness degree of the cooperation relationship between the cooperation users of the target cooperation object;

the sequencing unit is used for sequencing the target cooperation objects according to the corresponding tightness degree;

and the second determining unit is used for determining a search result corresponding to the search request according to the sequencing results of the target collaboration objects.

In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor and a memory, the processor being configured to execute a search program stored in the memory to implement the search method of any one of the first aspect.

In a fourth aspect, an embodiment of the present invention provides a storage medium storing one or more programs, which are executable by one or more processors to implement the search method according to any one of the first aspects.

According to the technical scheme provided by the embodiment of the invention, at least one target user is determined in response to the received search request, at least one target cooperative object is determined according to the at least one target user, the cooperative users of the target cooperative object comprise the at least one target user, and the search result corresponding to the search request is determined according to the at least one target cooperative object, so that the search of the cooperative object is realized by taking the cooperative users as entry points. Since the memory point of the user for the cooperative user is often better than the memory point of the user for the object name, compared with the method for searching the cooperative object by taking the cooperative user as the entry point, the method for searching the cooperative object by taking the cooperative user as the entry point has better searching effect and improves the user experience.

Drawings

FIG. 1 is an example of a prior art collaboration tool supporting object search using an object name as a keyword;

fig. 2 is a flowchart of an embodiment of a searching method according to an embodiment of the present invention;

FIG. 3 is a flowchart of an embodiment of another searching method provided by the embodiment of the present invention;

FIG. 4 is an example of a user collaboration relationship network;

FIG. 5 is another example of a user collaboration relationship network;

FIG. 6 is a diagram illustrating an example of a user collaboration network display effect when a first user selects a collaboration user;

FIG. 7 is a diagram illustrating an example of a user collaboration network display effect when two collaborating users are selected by a first user;

FIG. 8 is a flowchart illustrating an embodiment of a further searching method according to an embodiment of the present invention;

FIG. 9 is a flowchart of another embodiment of a searching method according to the present invention;

FIG. 10 is a block diagram of an embodiment of a search apparatus according to the present invention;

fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In order to facilitate understanding of the searching method provided by the embodiment of the present invention, a brief description is first made below of an application scenario related to the embodiment of the present invention.

The existing collaboration tool supports multiple people to edit the same object, where the object may be a document, a project, a schedule, a backlog, a conference agenda, and the like, and is not limited in this respect. Further, the existing collaboration tool also supports object search using the object name as a keyword, for example, as shown in fig. 1, an example of the existing collaboration tool supporting object search using the object name as a keyword is shown.

Therefore, the existing collaboration tool supports object search and depends on the memory of the user for the object name, however, in practical application, various factors exist, for example, the object name is created by other collaboration users, so that the memory of the user for the object name is poor, and the object search effect is further influenced.

In view of this, an embodiment of the present invention provides a search method, which is applicable to the above collaboration tool, and performs object search using a collaboration user as an entry point. Because the memory point of the user for the cooperative user is often better than the memory point of the user for the object name, compared with the object search by using the object name as a keyword, the object search by using the cooperative user as the entry point has better search effect and improves the user experience.

The searching method provided by the present invention is further explained with specific embodiments in the following with reference to the drawings, and the embodiments do not limit the embodiments of the present invention.

Referring to fig. 2, a flowchart of an embodiment of a search method according to an embodiment of the present invention is provided. The process shown in fig. 2 includes the following steps:

step 201, in response to a received search request, determining at least one target user, where the search request carries a user identifier of each target user.

The search request carries a user identifier of at least one user, and is used for indicating to search for an object of the at least one user participating in the collaborative editing. Based on this, in this step 201, at least one user identifier may be parsed from the received search request, and then at least one target user may be determined according to the at least one user identifier.

Further, in the case that a target user is determined, the search request may be used to instruct to search for an object that the target user participates in collaborative editing, that is, the search request is intended to search for an object that the target user participates in collaborative editing, and does not concern other collaborative users of the object.

In the case that two or more target users are determined, the search request may be used to instruct to search for an object in which each target user participates in collaborative editing, or may be used to instruct to search for an object in which the two or more target users participate in collaborative editing together. That is, in the case where two or more target users are determined, there may be a cooperative relationship between the two or more target users.

In one embodiment, the existence of a collaboration relationship between two or more target users means that: the two or more target users participate in the collaborative editing of the same object or objects together.

For example, assuming that the target users include user a and user B, and assuming that user a and user B participate in collaborative editing of object a together, it can be said that a collaborative relationship exists between user a and user B, and user a and user B are both collaborative users of object a.

For another example, assuming that the target users include user a, user B, and user C, and assuming that user a, user B, and user C participate in editing the object B together, it may be said that a collaboration relationship exists between user a, user B, and user C, and user a, user B, and user C are all collaboration users of the object B.

As can be seen from the above examples, the same object may have two or more collaboration users, and the number of collaboration users of the same object is not limited in the embodiment of the present invention.

It should be noted that, in another embodiment, in the case that more than two target users are determined, there may be a case that not all target users participate in the collaborative editing of the same object or the same objects together, but only some target users participate in the collaborative editing of the same object or the same objects together. For example, the determined target user includes user a, user B and user C, and it is assumed that user a and user B participate in collaborative editing of object a together, and user C does not participate in collaborative editing of any object.

For such a situation, the embodiment of the present invention also refers to that a collaboration relationship exists between the two or more target users.

In summary, the existence of the collaboration relationship between two or more target users in the embodiments of the present invention may include the following two cases:

in case 1, the two or more target users participate in collaborative editing of the same object or objects together;

in case 2, some target users of the two or more target users participate in collaborative editing of the same object or objects together.

Step 202, determining at least one target collaboration object according to at least one target user, wherein the collaboration users of the target collaboration object include the at least one target user.

As can be seen from the above description, the above collaboration object refers to an object having two or more users participating in collaborative editing together. As described above, the object may be a document, a project, a schedule, a backlog, a conference agenda, etc., and is not limited in particular.

The target collaboration object refers to a collaboration object which is collaboratively edited by at least one target user. That is, the collaboration users of the target collaboration object include at least one target user.

Specifically, in the case that the number of the target users determined in step 201 is one, the target collaboration object refers to an object in which the target user participates in the collaborative editing. At this time, it is not necessary to pay attention to what other collaboration users of the target collaboration object have.

For example, it is assumed that the target user determined in step 201 includes user a, and it is assumed that user a and user B cooperatively edit an object a, and user a and user C cooperatively edit an object B. Then the target collaboration objects that can be determined by user a include object a and object b.

As can be seen from the above examples, the same user may be a collaborative user of one or more objects, and the embodiment of the present invention does not limit the number of objects that the same user can participate in collaborative editing. Meanwhile, the embodiment of the present invention does not impose type restrictions on the objects that the same user can participate in collaborative editing, for example, in the above example, the user a and the user B collaboratively edit the document a, and the user a and the user C collaboratively edit the to-do-matter B.

In the case that the number of the target users determined in step 201 is two or more, the target collaboration object may refer to an object in which any target user participates in the collaborative editing of the two or more target users, and it is not necessary to pay attention to which other collaboration users of the target collaboration object exist at this time.

For example, assume that the target users determined in step 201 include user a and user B, and assume that user a participates in the collaborative editing of object a and user B participates in the collaborative editing of object B and object c. Then the target collaboration objects that can be determined according to the user a and the user B include an object a, an object B, and an object c.

The target collaboration object may also refer to an object in which the two or more target users participate in the collaborative editing, in which case, the collaboration users of the target collaboration object include the two or more target users.

For example, it is assumed that the target users determined in step 201 include user a and user B, and that user a and user B perform collaborative editing on object a together. Then the target collaboration object, which can be determined according to the user a and the user B, includes the object a. The cooperative users of the object a comprise a user A and a user B.

For another example, it is assumed that the target users determined in step 201 include user a and user B, and that user a and user B perform collaborative editing on object a and object B together. Then the target collaboration objects that can be determined according to user a and user B include object a and object B. The cooperative users of the object a include a user A and a user B, and the cooperative users of the object B also include the user A and the user B.

As can be seen from the above examples, two or more users may be collaborative users of one or more objects, and the number of collaborative objects that participate in collaborative editing by two or more users is not limited in the embodiment of the present invention. In addition, when the number of the collaboration objects in which two or more users participate in the collaborative editing is two or more, the types of the two or more collaboration objects may be the same or different. For example, the object a is a document, and the object b is a to-do item, which is not limited in this embodiment of the present invention.

The target collaboration object may also refer to an object in which a part of the more than two target users participate in the collaborative editing of the target collaboration object, and in this case, the collaboration users of the target collaboration object include a part of the more than two target users.

Here, those skilled in the art will readily appreciate that: the target collaboration object also includes objects which are participated in the collaborative editing of the target users by other target users, wherein the other target users refer to other target users except the part of the target users.

For example, it is assumed that the target users determined in step 201 include user a, user B, and user C, and it is assumed that user a and user B jointly perform collaborative editing on object a, and object C does not participate in collaborative editing on object a, but participates in collaborative editing on object B. Then, the target collaboration objects that can be determined from user A, user B, and user C include object a and user B. The cooperative users of the object a comprise a user A and a user B, and the cooperative users of the object B comprise a user C.

In an embodiment, determining at least one target collaboration object based on at least one target user may be achieved by: and searching a user-cooperative object map according to at least one target user to obtain at least one target cooperative object which has an association relation with the at least one target user in the user-cooperative object map, wherein the user-cooperative object map comprises the association relation between the cooperative object and the cooperative user.

In connection with the above explanation of the relationship between the target collaboration object and the at least one target user, specifically:

in the case that the number of the target users determined in step 201 is one, the user-cooperative object map may be directly searched according to the target users, and then the searched cooperative objects having an association relationship with the target users are determined as target cooperative objects.

In the case that the number of the target users determined in step 201 is two, the user-cooperative object map may be directly searched according to the two target users, and then the searched cooperative object having an association relationship with both the two target users is determined as the target cooperative object.

Under the condition that the number of the target users determined in step 201 is more than two, the more than two target users may be grouped according to a rule that i target users are in a group, where a value of i includes 2, N and an integer between 2 and N, and N is the number of the target users. And then, aiming at each group, searching the user-cooperative object map according to the target users in the group, and determining the searched cooperative objects which have an association relationship with the target users in the group as target cooperative objects.

For example, it is assumed that the target users determined in step 201 include a user a, a user B, and a user C, where the user a and the user B are all cooperative users of an object a, the user B and the user C are cooperative users of an object C, and the user a, the user B, and the user C are all cooperative users of an object B. Then in the above-mentioned user-collaboration object graph, user a and user B both have an association with object a, user B and user C both have an association with object C, and user a, user B, and user C all have an association with object B.

According to the above description, the target users are grouped according to the rule that 2 target users and 3 target users are grouped, respectively, and the following grouping results { user a, user B }, { user a, user C }, { user B, user C }, { user a, user B, and user C }, can be obtained. Wherein, aiming at the grouping { user A, user B }, the object a can be found in the user-cooperation object map; aiming at the grouping { user A, user C }, a target cooperation object is not found in the user-cooperation object map; aiming at the grouping { user B, user C }, an object C can be found in the user-cooperation object map; for the grouping { user a, user B, user C }, object B can be found in the user-collaboration object map. Therefore, the finally determined target collaboration object comprises an object a, an object b and an object c.

In addition, it can be understood that, when the number of the target users determined in step 201 is two or more, the user-cooperative object map may be searched for according to each target user, and then all the searched cooperative objects having an association relationship with the target user are determined as target cooperative objects.

In addition, it should be noted that, in practical applications, there may be a case where any target collaboration object is not searched, for example, each target user determined in the above step 201 does not participate in the collaborative editing of any collaboration object. In this case, the execution main body of the embodiment of the present invention may output prompt information indicating that there is no search result.

Step 203, determining a search result corresponding to the search request according to the at least one target collaboration object.

According to the technical scheme provided by the embodiment of the invention, at least one target user is determined in response to the received search request, at least one target cooperative object is determined according to the at least one target user, the cooperative users of the target cooperative object comprise the at least one target user, and the search result corresponding to the search request is determined according to the at least one target cooperative object, so that the cooperative user is used as an entry point to search the cooperative object. Since the memory point of the user for the cooperative user is often better than the memory point of the user for the object name, compared with the method for searching the cooperative object by taking the cooperative user as the entry point, the method for searching the cooperative object by taking the cooperative user as the entry point has better searching effect and improves the user experience.

Referring to fig. 3, a flowchart of an embodiment of another searching method according to an embodiment of the present invention is provided.

The process shown in fig. 3 includes the following steps:

and 301, presenting a user collaboration relation network.

The user cooperation relationship network comprises a plurality of user nodes and a plurality of connecting edges, wherein each user node corresponds to one user, and the connecting edges are used for connecting the user nodes corresponding to two users with cooperation relationship.

Referring to FIG. 4, an example of a user collaboration relationship network is shown. The user cooperation relationship network illustrated in fig. 4 includes 6 user nodes respectively corresponding to the user a to the user F, and describes the cooperation relationship between the user a and the user F. For example, a connection edge exists between user nodes corresponding to the user a and the user B, which means that a cooperation relationship exists between the user a and the user B. As for the other collaboration relationships described in fig. 4, they are not shown one by one here.

In one embodiment, the user collaboration relationship network presented in this step 301 refers to the constructed, original user collaboration relationship network. Such as the user collaboration relationship network illustrated in fig. 4.

In another embodiment, the user collaboration relationship network presented in step 301 refers to a user collaboration relationship network after filtering out collaboration relationships that are not important to the first user or are not of interest to the first user, based on the original user collaboration relationship network. For example, assuming that there is a collaborative relationship between user D and first user A, but that such a collaborative relationship is not important to first user A, a network of user collaborative relationships may be presented as illustrated in FIG. 5. Illustratively, the collaboration relationship is not important to the user may appear as: the degree of closeness of the collaboration is low, that is, although there is a collaboration between two users, the degree of closeness of the collaboration between the two users is low, and at this time, it can be considered that the collaboration is not important for the two users. As to how close the collaboration is quantified, see the following description, which will not be detailed here.

The first user is an initiator of the search request.

As an exemplary application scenario, the execution agent of an embodiment of the present invention may be a collaboration client. The collaboration client herein refers to a client providing a collaboration function. In the exemplary application scenario, a user may implement collaborative editing through a collaboration client, and may also implement the search method provided by the embodiment of the present invention through the collaboration client. In this case, the first user may refer to a login user of the collaboration client.

As another exemplary application scenario, the execution subject of the embodiment of the present invention may be a communication client, where the communication client refers to a client providing a network communication function. In the exemplary application scenario, the user may share, download, or collect the collaboration object through the communication client, and based on this, the user may also implement the search method provided by the embodiment of the present invention through the communication client. At this time, the first user may refer to a login user of the communication client.

The client may be an application running in an independent process, a sub-application (applet) embedded in the client and independent of a main page, a function running on a web browser (also referred to as WebApp), an applet embedded in an email, and the like, which are not limited in this embodiment of the present invention.

In this embodiment, presenting the user collaboration relationship network illustrated in FIG. 5 may be accomplished by:

determining a user node to be presented from a constructed original user cooperation relationship network, wherein a weight parameter of a connecting edge between the user node to be presented and a first user node meets a set condition, and the weight parameter is used for representing the tightness of the cooperation relationship between two users connected by the connecting edge; and then deleting other user nodes except the user node to be presented from the original user cooperation relationship network to obtain the user cooperation relationship network to be presented, and presenting the user cooperation relationship network.

Optionally, the weight parameter is positively correlated with the degree of closeness of the collaborative relationship, that is, the larger the weight parameter is, the closer the collaborative relationship between the two users is; conversely, the smaller the weight parameter, the more distant the collaboration relationship between two users is. The setting condition may mean that the weight parameter is smaller than a set threshold, or the weight parameter is smaller than or equal to the set threshold, or the weight parameter is within a preset range.

Optionally, the closeness of the collaboration between the two users may be quantified by: the number of the objects collaboratively edited by two users, the times of collaboratively editing the same or a plurality of objects by two users, the time interval of the collaboratively editing and the like. For example, the above-mentioned closeness degree is positively correlated with the number of the objects edited by two users in a collaborative manner, that is, the greater the number of the objects edited by two users in a collaborative manner, the higher the closeness degree of the collaborative relationship between the two users is; for another example, the degree of closeness is positively correlated to the number of times that the two users perform collaborative editing on the same or several objects, that is, the greater the number of times that the two users perform collaborative editing on the same or several objects, the higher the closeness of the collaborative relationship between the two users is; for another example, the above-mentioned tightness degree is negatively related to the time interval of the two users performing the collaborative editing on the same or several objects, that is, the shorter the time interval of the two users performing the collaborative editing on the same or several objects, the higher the tightness degree of the collaborative relationship between the two users is.

Optionally, the value of the time interval may be: the average value, the maximum value, or the minimum value between the time intervals of two adjacent collaborative editions, etc., are not specifically limited herein.

It should be noted that, while the user node is deleted from the original user collaboration relation network, a part of collaboration relation network related to the user node may also be deleted.

As can be seen from the above description, different user collaboration relationship networks can be presented for different users, which can meet the requirements of different users and improve the user experience.

In addition, as can be seen from the above description, the connection edge in the user collaboration relation network has the weight parameter, for this reason, in an embodiment, when the user collaboration relation network is presented, the connection edge in the user collaboration relation network to be presented may be rendered based on the weight parameter of the connection edge, that is, the connection edge in the user collaboration relation network to be presented is rendered based on the weight parameter of the connection edge, which enables the connection edges having different weight parameters to have different display effects, and thus not only can a user intuitively and clearly understand the collaboration relation among multiple users, thereby assisting the user to search for a collaboration object with the collaboration object as an entry point, but also enables the user intuitively and clearly understand the tightness of the collaboration relation among the users, and improving user experience.

As an optional implementation manner, the rendering the connection edge in the user collaboration relation network to be presented based on the weight parameter of the connection edge may include: and setting the thickness of the connecting edge in the user cooperation relationship network to be presented based on the weight parameter of the connecting edge. For example, the larger the weight parameter is, the thicker the connection edge is, whereas the smaller the weight parameter is, the thinner the connection edge is. This rendering effect can be seen in fig. 4.

As another optional implementation manner, the rendering the connected edge in the user collaboration relation network to be presented based on the weight parameter of the connected edge may include: and setting the color depth of the connecting edge in the user cooperation relationship network to be presented based on the weight parameter of the connecting edge. For example, the larger the weight parameter, the darker the color of the connecting edge, whereas the smaller the weight parameter, the lighter the color of the connecting edge.

It should be noted that, the above are two examples of rendering the connecting edges in the user collaboration relation network to be presented based on the weight parameters of the connecting edges, so that the connecting edges with different weight parameters have different specific implementation manners of the display effect.

How to construct the user collaboration relation network is explained below by the embodiment shown in fig. 9, and will not be described in detail here.

Step 302, receiving a selection operation of a first user on at least one user node in the user cooperation relationship network, and determining at least one user corresponding to the selection operation as a selected user.

Step 303, determining the first user and the user corresponding to each selected user node in the user cooperation relationship network as the target user.

Step 302 and step 303 are explained below collectively:

in an embodiment, because the first user can intuitively and clearly know other users having a cooperation relationship with the first user through the user cooperation relationship network, when the first user performs the cooperative object search, the first user can directly select a user node having a cooperation relationship with the first user node (i.e., a user node corresponding to the first user in the user cooperation relationship network) from the user cooperation relationship network, that is, perform a selection operation on at least one user node in the user cooperation relationship network. When receiving a selection operation of a first user on at least one user node in the user cooperation relationship network, determining a user corresponding to each selected user node in the first user and the user cooperation relationship network as a target user.

The selection operation may be a single-click operation, a double-click operation, a frame selection operation, and the like, and is not limited specifically herein.

In addition, in an embodiment, after the step 303 is executed and at least two target users are determined, the target user nodes in the output user cooperation relationship network may also be rendered according to a preset rendering manner, where the target user nodes refer to user nodes corresponding to the target users. Through the processing mode, the user can intuitively and clearly know the current target user to be searched, and the user experience is improved.

As an optional implementation manner, the preset rendering manner is a highlight mark. For example, referring to fig. 6, in a case where a cooperative user is selected for a first user, an example of a display effect of a user cooperation relationship network is shown, in fig. 6, user nodes corresponding to a user a and a user C, respectively, and a connection edge between the two user nodes are highlighted. Referring to fig. 7, an example of a display effect of the user collaboration relationship network when two collaboration users are selected for the first user is shown in fig. 7, where user nodes corresponding to the user a, the user B, and the user C, and a connection edge between the three user nodes are highlighted.

Step 304, determining at least one target collaboration object according to at least two target users.

Step 305, determining a search result according to at least one target cooperation object.

In one embodiment, all of the target collaboration objects determined in step 304 may be determined as search results and the search results may be presented.

Further, when determining and presenting the search result, the following processing may be further performed for each target collaboration object: determining the closeness degree of the cooperation relationship between the cooperation users of the target cooperation objects, sequencing the target cooperation objects according to the corresponding closeness degree, determining the search result corresponding to the search request according to the sequencing result of the target cooperation objects, and displaying the target cooperation objects according to the sequencing result.

The above sorting may refer to sorting according to the order of the corresponding degree of closeness from high to low, or sorting according to the order of the corresponding degree of closeness from low to high, and is not specifically limited herein.

It should be noted that, in the case that the target collaboration object has more than two collaboration users, the determining the closeness degree of the collaboration relationship between the collaboration users of the target collaboration object may include: and determining the connecting edges between every two cooperative users in the more than two cooperative users from the user cooperative relationship network, then calculating the average value of the weight parameters corresponding to all the determined connecting edges, and determining the closeness degree of the cooperative relationship between the cooperative users of the target cooperative object based on the average value.

To facilitate understanding of embodiments of the present invention, specific examples are shown below:

referring to fig. 6, in the case that the determined target users include user a and user C, the search results determined according to the two target users include two types of target collaboration objects, namely, a file type target collaboration object and a schedule type target collaboration object, wherein the file type target collaboration object includes presentation document a and a project group meeting summary, and the schedule type target collaboration objects include 2022/06/26.

For other descriptions of step 304, refer to the description of step 202 in the flow chart shown in fig. 2, and redundant description is omitted here.

According to the technical scheme provided by the embodiment of the invention, the user cooperation relationship network is presented, the selection operation of the first user on at least one user node in the user cooperation relationship network is received, the user corresponding to each selected user node in the first user and the user cooperation relationship network is determined as the target user, the target user can be determined by the user in an intuitive and concise manner, and the user experience is improved.

Referring to fig. 8, a flowchart of an embodiment of another search method according to the embodiment of the present invention is provided.

The process shown in fig. 8 includes the following steps:

step 801, presenting a user collaboration relation network.

Step 802, receiving a selected operation of a first user on at least one user node in a user cooperation relationship network.

And 803, determining the user corresponding to each selected user node in the user cooperation relationship network as the target user.

As can be seen from the description of step 802 and step 803, the difference here from the above-mentioned flow shown in fig. 3 is that: and determining only the user corresponding to the user node selected by the first user in the user cooperation relationship network as the target user.

Exemplary application scenarios for this include, but are not limited to: the first user, as a department manager or administrator, may search for an object in which a certain employee in his department participates in collaborative editing, or search for an object in which two or more employees in the department participate in collaborative editing together.

Step 804, determining at least one target cooperation object according to at least two target users.

Step 805, determining a search result according to at least one target collaboration object.

For other descriptions of the above steps 801 to 805, refer to the related descriptions in the flow shown in fig. 3, which are not repeated herein.

According to the technical scheme provided by the embodiment of the invention, the user cooperation relationship network is presented, the selection operation of the first user on at least one user node in the user cooperation relationship network is received, the user corresponding to each selected user node in the user cooperation relationship network is determined as the target user, the target user can be determined by the user in an intuitive and concise manner, and the user experience is improved.

In addition, in an embodiment, in a case that the first user does not select any user from the user collaboration relationship network, the first user may be determined as the target user, and at least one user having a collaboration relationship with the first user (hereinafter referred to as a second user) may also be automatically determined, the first user and the at least one second user are determined as the target user, and the subsequent processes are continuously executed.

In this embodiment, determining the second user having a collaborative relationship with the first user may be implemented by connecting a connection edge of a user node (hereinafter, referred to as a first user node) corresponding to the first user in the user collaborative relationship network. For example, referring to FIG. 4, assuming that the first user is user A, the second users identified herein may include user B, user C, user D, and user E.

Further, in a case where the second user includes user B, user C, user D, and user E, the target collaboration object determined according to at least two target users (here, user a, user B, user C, user D, and user E) may include:

(1) the collaboration users comprise collaboration objects of a user A, a user B, a user C, a user D and a user E;

(2) the cooperative users comprise cooperative objects of any N users in a user A, a user B, a user C, a user D and a user E, wherein the value range set of N is {2,3,4}.

Furthermore, an implementation of selecting a target user from a user collaboration relationship network by a user by presenting the user collaboration relationship network to the user is described above by two different embodiments of fig. 3 and 8. It should be noted that this is only an alternative implementation for determining the target user, and in practical applications, other implementations may also exist.

For example, in one embodiment, the execution subject of the embodiment of the present invention provides a search box to the first user through the visualization interface, and the first user may type at least one piece of information related to the second user (e.g., name, user identifier, user account, etc.) into the search box and then trigger the search icon. The execution main body of the embodiment of the present invention generates the search request when detecting that the search icon is triggered, and the search request may carry the first user identifier and the user identifier of the second user keyed in the search box, and further determines the first user and the second user keyed in the search box as the target user, and executes the search method provided in the embodiment shown in fig. 2 based on the target user; or the search request may carry the user identifier of the second user entered in the search box, and further determine the second user entered in the search box as the target user, and execute the search method provided in the embodiment shown in fig. 2 based on the target user.

Referring to fig. 9, a flowchart of an embodiment of a further search method provided by the embodiment of the present invention is shown, where the flowchart shown in fig. 9 is used to describe how to construct the user collaboration relationship network. As shown in fig. 9, the method comprises the following steps:

step 901, obtaining user cooperation data of a plurality of users.

The user collaboration data may include a plurality of different types of user collaboration data, including, but not limited to: document rights (create, view, comment, edit, etc.) data, collaborative behavior (invite, share, view, comment, edit, review, @ (notification), etc.) data, other data (frequency, duration, etc. of collaborative behavior), staffing architecture data, and the like.

For example, the collaboration behavior data and other data may be derived from a log of an execution subject of the embodiment of the present invention, and the document authority data and the personnel organization architecture data may be derived from a configuration file of the execution subject of the embodiment of the present invention, which is not limited in this respect.

Furthermore, different feature weights are set for different types of user cooperation data, and the feature weights can reflect the importance degree of the user cooperation data on the connection side weight parameter in the finally constructed user cooperation relationship network, wherein the feature weights are positively correlated with the importance degree of the connection side weight parameter. For example, the collaborative behavior data is set as a primary feature weight, the other data is set as a secondary feature weight, and the document authority data and the human organization architecture data are set as a tertiary feature weight. Here, the primary feature weight is higher than the secondary feature weight, which is higher than the tertiary feature weight.

It should be further noted that the feature weights of the different types of user collaboration data may be set and changed by the user according to actual situations, and how to set the feature weights of the different types of user collaboration data is not limited in the embodiment of the present invention.

And 902, inputting user cooperation data of a plurality of users into a pre-trained intelligent model to obtain a user cooperation relationship network.

In an embodiment, the user cooperation data acquired in step 901 may be preprocessed, and then the preprocessed user cooperation data of multiple users are input into a pre-trained intelligent model, so as to obtain a user cooperation relationship network.

Such pre-treatments include, but are not limited to: data cleaning, format conversion and the like. The data can be processed through a predetermined standard format and specification, such as data cleaning and format conversion, and how to perform the preprocessing is not described in detail herein.

The intelligent model may be a linear regression model, a MARS (multivariate adaptive regression spline) model, etc., and the model structure used in the intelligent model is not particularly limited.

In an embodiment, a training sample set may be constructed, where the training sample set includes a plurality of training samples, each training sample includes a corresponding relationship between a group of user cooperation data and a user cooperation relationship network, where the user cooperation relationship network may be obtained by user labeling, and then the training sample set is used to perform iterative training on an initial model, and in an iterative training process, it is determined whether a model obtained by current training converges or not every time iteration is completed. If the convergence is reached, stopping iteration, and obtaining the intelligent model at the moment; and if not, adjusting the model parameters of the model obtained by current training, entering next iteration, and repeating the steps until the model converges.

In the process shown in fig. 9, the user cooperation data of the plurality of users is input to the pre-trained intelligent model by obtaining the user cooperation data of the plurality of users, so as to obtain the user cooperation network, thereby realizing the construction of the user cooperation network, and the efficiency of constructing the user cooperation network by the trained intelligent model is higher.

Referring to fig. 10, a block diagram of an embodiment of a search apparatus is provided for an embodiment of the present invention. As shown in fig. 10, the search device includes:

a first determining module 1001, configured to determine at least one target user in response to a received search request, where the search request carries a user identifier of each target user;

a second determining module 1002, configured to determine at least one target collaboration object according to the at least one target user, where collaboration users of the target collaboration object include the at least one target user;

a result determining module 1003, configured to determine a search result corresponding to the search request according to at least one target collaboration object.

In a possible embodiment, the apparatus further comprises:

a presentation module, configured to present a user cooperation relationship network before responding to the received search request, where the user cooperation relationship network includes a plurality of user nodes and a plurality of connection edges, each user node corresponds to a user, and the connection edges are used to connect the user nodes corresponding to two users having a cooperation relationship;

receiving the selected operation of a first user on at least one user node in the user cooperation relationship network; determining the first user and the user corresponding to each selected user node in the user cooperation relationship network as target users; carrying the user identification of each target user in the search request; wherein the first user is an initiator of the search request.

In a possible embodiment, the apparatus further comprises:

receiving the selected operation of a first user on at least one user node in the user cooperation relationship network; determining users corresponding to each selected user node in the user cooperation relationship network as target users; carrying the user identification of each target user in the search request; wherein the first user is an originator of the search request.

In a possible embodiment, the apparatus further comprises:

determining a user node to be presented from a constructed original user cooperation relationship network, wherein a weight parameter of a connecting edge between the user node to be presented and a first user node meets a set condition, the weight parameter is used for representing the closeness degree of the cooperation relationship between two users connected by the connecting edge, and the first user node is a user node corresponding to the first user;

deleting other user nodes except the user node to be presented from the original user cooperation relationship network to obtain a user cooperation relationship network to be presented, and presenting the user cooperation relationship network

In a possible embodiment, the apparatus further comprises:

In a possible embodiment, the user cooperation data includes a plurality of different types of user cooperation data, wherein different types of user cooperation data are set with different feature weights, and the plurality of different types of user cooperation data includes at least two of: object rights data, collaboration behavior data, and personnel organization architecture data.

In a possible embodiment, the apparatus further comprises:

In a possible implementation manner, the second determining module 1002 is specifically configured to:

In a possible implementation manner, the target collaboration object includes a plurality of objects, and the result determining module 1003 includes:

a first determination unit configured to perform the following processing for each of the target collaboration objects: determining the closeness degree of the cooperation relationship between the cooperation users of the target cooperation object;

Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 1100 shown in fig. 11 includes: at least one processor 1101, memory 1102, at least one network interface 1104, and other user interfaces 1103. The various components in the electronic device 1100 are coupled together by a bus system 1105. It is understood that the bus system 1105 is used to enable communications among the components. The bus system 1105 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled in fig. 11 as the bus system 1105.

The user interface 1103 may include, among other things, a display, a keyboard or a pointing device (e.g., a mouse, trackball), a touch pad or a touch screen, among others.

It is to be understood that the memory 1102 in embodiments of the present invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The non-volatile memory may be a Read-only memory (ROM), a programmable Read-only memory (PROM), an erasable programmable Read-only memory (erasabprom, EPROM), an electrically erasable programmable Read-only memory (EEPROM), or a flash memory. The volatile memory may be a Random Access Memory (RAM) which functions as an external cache. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (StaticRAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), enhanced synchronous SDRAM (ESDRAM), synchronous link dynamic random access memory (synchlink DRAM, SLDRAM), and direct memory bus random access memory (DRRAM). The memory 1102 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

In some embodiments, memory 1102 stores elements, executable units or data structures, or a subset thereof, or an expanded set thereof as follows: an operating system 11021 and application programs 11022.

The operating system 11021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application 11022 contains various applications such as a media player (MediaPlayer), a Browser (Browser), and the like for implementing various application services. Programs that implement methods in accordance with embodiments of the invention may be included in application 11022.

In the embodiment of the present invention, by calling a program or an instruction stored in the memory 1102, specifically, a program or an instruction stored in the application 11022, the processor 1101 is configured to execute the method steps provided by the method embodiments, for example, including:

The methods disclosed in the embodiments of the present invention described above may be implemented in the processor 1101 or by the processor 1101. The processor 1101 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by instructions in the form of hardware, integrated logic circuits, or software in the processor 1101. The processor 1101 may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software elements in the decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in the memory 1102, and the processor 1101 reads the information in the memory 1102 and completes the steps of the method in combination with the hardware thereof.

It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.

For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.

The electronic device provided in this embodiment may be the electronic device shown in fig. 11, and may perform all the steps of the search method in the embodiments described above, so as to achieve the technical effect of the search method in the embodiments described above.

The embodiment of the invention also provides a storage medium (computer readable storage medium). The storage medium herein stores one or more programs. Among others, the storage medium may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.

When one or more programs in the storage medium are executable by one or more processors to implement the above-described search method performed on the electronic device side.

The processor is used for executing the search program stored in the memory to realize the following steps of the search method executed on the electronic equipment side:

and determining a search result corresponding to the search request according to at least one target cooperation object.

Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. A method of searching, comprising:

2. The method of claim 1, prior to said responding to the received search request, further comprising:

carrying the user identification of each target user in the search request;

wherein the first user is an initiator of the search request.

3. The method of claim 1, prior to said responding to the received search request, further comprising:

carrying the user identification of each target user in the search request;

wherein the first user is an originator of the search request.

4. The method of claim 1, wherein the search request is implemented to carry the user identifier of each of the target users by:

determining the first user and at least one second user as target users;

carrying the user identification of each target user in the search request;

wherein the first user is an initiator of the search request.

5. The method of claim 2 or 3, wherein presenting the user collaboration relationship network comprises:

6. The method of claim 5, wherein the original user collaboration relationship network is constructed by:

acquiring user cooperation data of a plurality of users;

7. The method of claim 6, wherein the user collaboration data comprises a plurality of different types of user collaboration data, wherein different types of user collaboration data are set with different feature weights, and wherein the plurality of different types of user collaboration data comprises at least two of: object rights data, collaboration behavior data, and personnel organization architecture data.

8. The method according to any one of claims 1 to 3, further comprising, after said determining at least two target users:

9. The method according to claim 2 or 3, wherein the presented connection edge in the user collaboration relationship network is rendered based on a weight parameter of the connection edge;

10. The method of claim 1, wherein the determining at least one target collaboration object based on the at least one target user comprises:

11. The method according to claim 1, wherein the target collaboration object includes a plurality of objects, and the determining a search result corresponding to the search request according to at least one of the target collaboration objects includes:

12. A search apparatus, comprising:

13. An electronic device, comprising: a processor and a memory, the processor being configured to execute a search program stored in the memory to implement the search method of any one of claims 1 to 11.

14. A storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the search method of any one of claims 1 to 11.