Method and apparatus for message notification, and device, storage medium and program product

Abstract

Provided in the embodiments of the present disclosure are a method and apparatus for message notification, and a device, a storage medium and a program product. The method comprises: acquiring at least one notification to a first user, wherein the at least one notification is respectively generated in response to: an interactive behavior which is associated with the first user and is executed by at least one second user; determining association information between the first user and the at least one second user; generating notification message content for the first user at least on the basis of the association information and the at least one notification; and providing the notification message content to the first user.

Description

Method, device, apparatus, storage medium and program product for message notification

[0001] The present application claims priority to the Chinese patent application No. 202411132172.4, filed on August 16, 2024, entitled “Method, device, apparatus, storage medium and program product for message notification”, the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] Example embodiments of the present disclosure generally relate to the field of computers, and in particular, to a method, device, electronic device, computer-readable storage medium and computer program product for message notification. BACKGROUND

[0003] With the development of information technology, various terminal devices can provide various services to people in work and life, etc. For example, an application providing a service can be deployed in a terminal device. The terminal device or the application can provide a digital assistant type function to the user to assist the user in using the terminal device or the application. In various applications, various interactive notifications will be received and provided to notify the user of various interactive behaviors that occur for the user. SUMMARY

[0004] In a first aspect of the present disclosure, a method for message notification is provided. The method comprises: obtaining at least one notification for a first user, the at least one notification being respectively generated in response to an interactive behavior associated with the first user performed by at least one second user; determining association information between the first user and the at least one second user; generating notification message content for the first user based at least on the association information and the at least one notification; and providing the notification message content to the first user.

[0005] In a second aspect of the present disclosure, a device for message notification is provided. The device comprises: a notification obtaining module configured to obtain at least one notification for a first user, the at least one notification being respectively generated in response to an interactive behavior associated with the first user performed by at least one second user; an information determining module configured to determine association information between the first user and the at least one second user; a content generating module configured to generate notification message content for the first user based at least on the association information and the at least one notification; and a content providing module configured to provide the notification message content to the first user.

[0006] In a third aspect of the disclosure, an electronic device is provided. The device includes at least one processor; and at least one memory coupled to the at least one processor and storing instructions for execution by the at least one processor. The instructions, when executed by the at least one processor, cause the electronic device to perform the method of the first aspect.

[0007] In a fourth aspect of the disclosure, a computer-readable storage medium is provided. The computer-readable storage medium has stored thereon computer-executable instructions that, when executed by a processor, implement the method of the first aspect.

[0008] In a fifth aspect of the disclosure, a computer program product is provided. The computer program product includes computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, implement the method according to the first aspect of the disclosure.

[0009] It is to be understood that the particulars shown herein are by way of example and for purposes of illustrative discussion of the embodiments of the present disclosure only and are not intended to limit the scope of the present disclosure to the particular embodiment illustrated. Other objectives, features and aspects of the disclosure will become apparent from the following description taken in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0010] The above and other features, aspects and advantages of embodiments of the present disclosure will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which like reference characters designate like elements in which:

[0011] FIG. 1 shows a schematic diagram of an example environment in which embodiments of the present disclosure can be implemented;

[0012] FIG. 2 shows a flowchart of a procedure for message notification according to some embodiments of the present disclosure;

[0013] FIG. 3 shows a schematic diagram of a signaling flow for message notification according to some embodiments of the present disclosure;

[0014] FIG. 4 shows a schematic diagram of a signaling flow for message notification according to some other embodiments of the present disclosure;

[0015] FIG. 5 shows a schematic diagram of a signaling flow for message notification according to yet some other embodiments of the present disclosure;

[0016] FIG. 6 shows an exemplary structural block diagram of an apparatus for message notification according to some embodiments of the present disclosure; and

[0017] FIG. 7 shows a block diagram of an electronic device that can implement one or more embodiments of the present disclosure. DETAILED DESCRIPTION

[0018] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be implemented in various forms and should not be interpreted as being limited to the embodiments set forth herein, but rather, these embodiments are provided so as to more completely and thoroughly understand the present disclosure. It is understood that the drawings and embodiments of the present disclosure are for exemplary purposes only and are not intended to limit the scope of protection of the present disclosure.

[0019] In the description of embodiments of the present disclosure, the term "comprising" and its conjugations should be understood to encompass the meaning of "including but not limited to". The term "based on" should be understood as "based at least in part on". The term "one embodiment" or "the embodiment" should be understood as "at least one embodiment". The term "some embodiments" should be understood as "at least some embodiments". Other explicit and implicit definitions can also be included below.

[0020] In this document, unless explicitly stated, performing a step "in response to A" does not mean performing the step immediately after A, but can include one or more intermediate steps.

[0021] It can be understood that the data involved in the technical solutions of the present disclosure (including but not limited to the data itself, the obtaining, use, storage or deletion of the data) should comply with the requirements of relevant laws and regulations and relevant provisions.

[0022] It can be understood that before using the technical solutions disclosed in the embodiments of the present disclosure, the type of information involved in the present disclosure, the scope of use, the use scenario, etc. should be informed to the relevant user and the authorization of the relevant user should be obtained by appropriate means, wherein the relevant user can include any type of right subject, such as an individual, an enterprise or a group.

[0023] For example, in response to receiving the active request of the user, a prompt information is sent to the relevant user to explicitly prompt the relevant user that the operation requested to be performed will require the information of the relevant user to be obtained and used, so that the relevant user can voluntarily choose whether to provide the information to the software or hardware such as electronic device, application program, server or storage medium, etc. performing the operation of the technical solutions of the present disclosure according to the prompt information.

[0024] As an optional but not limiting implementation manner, in response to receiving the active request of the relevant user, the manner of sending the prompt information to the relevant user can be, for example, the manner of pop-up window, and the prompt information can be presented in the form of text in the pop-up window. In addition, the pop-up window can also carry selection controls for the user to select "agree" or "disagree" to provide information to the electronic device.

[0025] It can be understood that the above notification and user authorization obtaining process is only illustrative, and does not limit the implementation of the present disclosure, and other ways that meet the relevant laws and regulations can also be applied to the implementation of the present disclosure.

[0026] As used herein, the term “model” can learn the association between the corresponding input and output from the training data, so that after the training is completed, the corresponding output can be generated for a given input. The generation of the model can be based on machine learning techniques. Deep learning is a machine learning algorithm that processes input and provides a corresponding output by using multiple layers of processing units. The neural network model is an example of a model based on deep learning. In this document, “model” can also be referred to as “machine learning model”, “learning model”, “machine learning network” or “learning network”, which are used interchangeably herein.

[0027] FIG. 1 shows a schematic diagram of an example environment 100 in which embodiments of the present disclosure can be implemented. In the example environment 100, an application service component 112 and a digital assistant 114 are installed in a client device 110. A user 130 can interact with the application service component 112 and the digital assistant 114 via the client device 110 and / or an attached device of the client device 110.

[0028] In some embodiments, the application service component 112 and the digital assistant 114 can be downloaded and installed in the client device 110. In some embodiments, the application service component 112 and the digital assistant 114 can also be accessed by other means, such as accessed through a webpage, etc. In some embodiments, in the environment 100 of FIG. 1, in response to the application service component 112 being launched, the client device 110 can present an interface 140 of the application service component 112 and the digital assistant 114. The interface 140 can be, for example, an interactive interface of the application service component 112 and the digital assistant 114.

[0029] The application service component 112 includes, but is not limited to, one or more of the following: a chat application component (also referred to as an instant messaging application component), a document application component, an audio and video conference application component, a mail application component, a task application component, a calendar application component, an objective and key result (OKR) application component, etc. It can be understood that although a single application service component is shown in FIG. 1, in fact, multiple application service components can be installed on the client device 110. In some embodiments, the application service component 112 can include a multi-functional collaboration platform, such as an office collaboration platform (also referred to as an office suite) that can provide integration of multiple types of service components to facilitate people to carry out office activities, communication, etc. In the multi-functional collaboration platform, people can start different service components as needed to complete corresponding information processing, sharing, communication, etc.

[0030] In some embodiments, the digital assistant 114 can be provided by a separate application service component, or can be integrated in a certain application service component 120 capable of providing content entities. The application service component for providing the client interface of the digital assistant can correspond to a single-function application service component or a multi-function collaboration platform, such as an office suite or other collaboration platform capable of integrating multiple components. It can be understood that similar to the application service component, although a single digital assistant is shown in FIG. 1, there can actually be multiple digital assistants.

[0031] In some embodiments, the digital assistant 114 supports the use of one or more plug-ins. Each plug-in is capable of providing one or more functions of an application. Such plug-ins include, but are not limited to, one or more of the following: a search plug-in, a contact plug-in, a message plug-in, a document plug-in, a table plug-in, a mail plug-in, a calendar plug-in, a schedule plug-in, a task plug-in, and the like. Customization of various plug-ins can be supported to configure the corresponding functions that can be implemented by the plug-ins. The digital assistant 114 can be configured to be associated with one or more plug-ins by default and / or customized.

[0032] The digital assistant 114 is a smart assistant for the user, with intelligent conversation and information processing capabilities. In embodiments of the present disclosure, the digital assistant 114 is used for interaction with the user 130 to assist the user 130 in using the terminal device or the application. In some embodiments, an interaction window with the digital assistant 114 can be presented in the interface 140. In the interaction window, the user 130 can be able to converse with the digital assistant 114 by inputting natural language, pictures, audio files, video files, web page files, and the like, to instruct the digital assistant to assist in completing various tasks, including operations on content entities 126.

[0033] In some embodiments, multiple interaction modes of the user 130 with the digital assistant 114 can be provided, and flexible switching between the multiple interaction modes can be supported. When a certain interaction mode is triggered, a corresponding interaction area is presented to facilitate the interaction of the user 130 with the digital assistant 114. The way the user 130 interacts with the digital assistant 114 is different in different interaction modes, so that the interaction needs in different application scenarios can be flexibly adapted.

[0034] In some embodiments, the information processing service specific to the user 130 can be provided based on the historical interaction information of the user 130 with the digital assistant 114 and / or the data range specific to the user 130. In some embodiments, the historical interaction information of the user 130 interacting with the digital assistant 114 in multiple interaction modes respectively can be stored in association with the user 130. In this way, in one of the multiple interaction modes (any one or a specified one), the digital assistant 114 can provide the service for the user 130 based on the historical interaction information stored in association with the user 130.

[0035] The digital assistant 114 can be invoked or woken up by appropriate means (e.g., shortcut key, button or voice) to present an interaction window with the user 130. By selecting the digital assistant 114, the interaction window with the digital assistant 114 can be opened. The interaction window can include interface elements for information interaction, such as input box, message list, message bubble, etc. In other embodiments, the digital assistant 114 can be invoked through an entry control or menu provided in the interface 140, or can be invoked by inputting a preset instruction.

[0036] The interaction window of the digital assistant 114 with the user 130 can include a conversation window, such as a conversation window in an instant messaging application or an instant messaging module of a specific application. In the conversation window, the interaction between the digital assistant 114 and the user 130 can be presented in the form of conversation messages. Alternatively or additionally, the interaction window of the digital assistant 114 with the user 130 can also include other types of windows, such as a window in a floating window mode, in which the user 130 can trigger the digital assistant 114 to perform corresponding operations by inputting instructions, selecting shortcut instructions, etc.

[0037] In some embodiments, the digital assistant 114 can support an interaction mode of a conversation window, also referred to as a conversation mode. In this interaction mode, a conversation window of the user 130 with the digital assistant 114 is presented, in which the user 130 and the digital assistant 114 interact through conversation messages. In the conversation mode, the digital assistant 114 can perform tasks according to the conversation messages in the conversation window. In the interaction window, the user 130 inputs an interaction message, and the digital assistant 114 provides a reply message in response to the user input. By selecting the digital assistant 114, the conversation window with the digital assistant 114 can be opened. The conversation window can include interface elements for information interaction, such as input box, message list, message bubble, etc.

[0038] In some embodiments, the client device 110 communicates with the server device 120 to enable provisioning of services to the digital assistant 114 and the business components 125. The client device 110 can be any type of mobile terminal, fixed terminal, or portable terminal including a mobile handset, a tablet computer, a laptop computer, a notebook computer, a netbook computer, a tablet computer, a media computer, a multimedia tablet, a personal communication system (PCS) device, a personal navigation device, a personal digital assistant (PDA), an audio / video player, a digital camera / camcorder, a television receiver, a radio broadcast receiver, an electronic book device, a game device, or any combination thereof, including accessories and peripherals of these devices, or any combination thereof. In some embodiments, the client device 110 can also be capable of supporting any type of interface for user interaction (such as a "wearable" circuit, etc.). The server device 120 can be various types of computing systems / servers capable of providing computing capabilities, including but not limited to mainframes, edge computing nodes, computing devices in a cloud environment, etc.

[0039] It should be appreciated that the structure and function of the various elements in the environment 100 are described for illustrative purposes only and are not intended to imply any limitation on the scope of the present disclosure.

[0040] Conventionally, if a user wants to view notifications, the user can provide a trigger for a notification viewing entry corresponding to a type of notification the user wants to view to view the notification. For example, if a user wants to view notifications generated by other users following the user, the user can trigger a following list viewing entry to view notifications generated by other users following the user. In this case, if the user wants to view multiple types of notifications, the user needs to perform multiple operations, which can result in poor efficiency of the user viewing notifications.

[0041] In addition, conventionally, if a user wants to view multiple notifications of a target type, the multiple notifications are all provided to the user, and it is difficult for the user to find a notification that should be paid more attention from the multiple notifications. This can affect the efficiency of the user viewing notifications and obtaining useful information.

[0042] In addition, conventionally, an electronic device can only provide a user with a notification directly in response to obtaining the notification. Although this can ensure the real-time nature of the user obtaining the notification, providing the user with the notification multiple times in a short period of time can affect the user experience of the user.

[0043] In view of this, according to an embodiment of the present disclosure, an improved solution for message notification is provided. According to the solution of the present disclosure, at least one notification for a first user is obtained. The at least one notification is respectively generated in response to an interactive behavior associated with the first user performed by at least one second user. Association information between the first user and the at least one second user is determined. Based at least on the association information and the at least one notification, notification message content for the first user is generated. The notification message content is provided to the first user.

[0044] In this way, the notification message content to be provided to the user for viewing can be dynamically determined in combination with the association information between multiple users and the notification triggered based on the interactive behavior. This helps to improve the efficiency of the user obtaining the notification.

[0045] Some example embodiments of the present disclosure will be described below with continuous reference to the drawings.

[0046] FIG. 2 shows a flowchart of a process 200 for message notification according to some embodiments of the present disclosure. For ease of discussion, the process 200 will be described with reference to the environment 100 of FIG. 1. The process 200 can be implemented at the client device 110 and / or the server device 120. For ease of description, the process 200 is described by way of example with the process 200 being implemented at the server device 120.

[0047] It should be noted that if the process 200 is described by way of example with the process 200 being implemented at the client device 110, some operations described with reference to the client device 110 can need the assistance of the server device 120 to be completed. It should be noted that the operations performed by the client device 110 can be specifically performed by a related application and / or a digital assistant installed on the client device 110.

[0048] At block 210, the server device 120 obtains at least one notification for a first user, the at least one notification being respectively generated in response to an interactive behavior associated with the first user performed by at least one second user.

[0049] In the text, for ease of discussion, the user to which the notification needs to be provided is referred to as the “first user”, and the user performing the interactive behavior to trigger the notification is referred to as the “second user”. It should be noted that “first” and “second” here do not contain any implicit order or other implications.

[0050] Each of the at least one notification can be generated in response to an interaction behavior performed by a second user in association with the first user. The interaction behavior may, for example, include an interaction behavior performed by the second user on the first user, which may, for example, include but is not limited to a follow, an unfollow, a private chat, a special attention, and the like performed by the second user on the first user. The interaction behavior may, for example, also include an interaction behavior performed by the second user on content published by the first user, where the content published by the first user may, for example, be a post, multimedia content (including but not limited to an image, a text, a picture-text, a video, an audio, and the like), a comment, and the like, and the interaction behavior performed by the second user on the content published by the first user may, for example, include but is not limited to a like, a collection, a forward, a comment, and the like.

[0051] In some embodiments, alternatively or additionally, the interaction behavior may, for example, also include an interaction behavior performed by the second user on a digital assistant published by the first user, which may, for example, include but is not limited to a collection, a like, a use of the digital assistant, a comment on the digital assistant, and the like. For example, an interaction area (e.g., a forum, and the like) for various digital assistants published in a publishing platform or a creating platform of the digital assistant can be provided, in which a user can publish a post for a specific digital assistant for discussion, comment on the post, like, collect, and the like on the digital assistant. In such a case, the creator or the administrator of the digital assistant can be the recipient of the notification.

[0052] The type of the interaction behavior that can trigger the notification can depend on the specific application setting, and embodiments of the present disclosure do not make specific limitations in this aspect.

[0053] Illustratively, the server device 120 can acquire a notification generated in response to detecting a follow behavior performed by a second user on a first user, which can inform the first user that there is a second user following the first user. The server device 120 can acquire a notification generated in response to detecting a like behavior performed by a second user on multimedia content published by a first user, which can inform the first user that there is a second user performing a like behavior on the multimedia content published by the first user.

[0054] The server device 120 may, for example, cache the acquired at least one notification. Alternatively or additionally, in some embodiments, the server device 120 can also delete the cached at least one notification periodically or in response to a predetermined rule. For example, the server device 120 can delete the cached at least one notification in response to the first user viewing the at least one notification. For another example, the server device 120 can delete the cached at least one notification in response to the time that the at least one notification has been cached reaching a predetermined length of time (e.g., one month, three months, or any length of time).

[0055] At block 220, the server device 120 determines association information between the first user and the at least one second user.

[0056] In some embodiments, the association information can include historical interaction information between the first user and the at least one second user. For each second user, the historical interaction information between the second user and the first user can indicate whether the second user has ever had a historical interaction with the first user. For example, the historical interaction information can indicate whether the second user and the first user have ever had a commenting behavior, a liking behavior, a private chatting behavior, etc. Alternatively or additionally, in some embodiments, the association information can also include a social relationship between the first user and the at least one second user. For each second user, the social relationship between the second user and the first user can indicate, for example, a following relationship (e.g., the first user follows the second user, and / or the second user follows the first user), a friendship (e.g., whether the two are friends, whether the two are close friends, etc.).

[0057] In some embodiments, the association information between the plurality of users can be stored in a user database. The user database can be a database for the plurality of users. The server device 120 can obtain the association information between the at least one second user and the first user from the user database based on the respective identities of the at least one second user and the identity of the first user. The identity of each user can include, for example, the name, ID, number, avatar, label, etc. of the user. Alternatively or additionally, the user database can also be a database for the first user, in which case different users can correspond to different user databases. The server device 120 can determine, for example, a first database corresponding to the first user from a plurality of user databases based on the identity of the first user, and then obtain the association information between the at least one second user and the first user from the first database based on the respective identities of the at least one second user. It can be understood that the information in the user database can be updated in response to changes in the association information between the users.

[0058] In some embodiments, the association information can indicate a degree of association between the second user and the first user. In the interaction scenario, the degree of association between users is usually determined by historical interaction data between users and / or social relationship between users, etc. For example, the richer the historical interaction information between a certain second user and the first user (e.g., a variety of interaction behaviors occur), the closer the association between the second user and the first user. If the social relationship between a certain second user and the first user indicates that they are mutual attention relationship, and the social relationship between another second user and the first user indicates that they are one-way attention (i.e., the second user follows the first user or the first user follows the second user) relationship, the degree of association between the second user corresponding to the mutual attention relationship and the first user is greater than the degree of association between the second user corresponding to the one-way attention relationship and the first user.

[0059] At block 230, the server device 120 generates a notification message content for the first user based on at least the association information and the at least one notification. Specifically, the server device 120 can generate the notification message content for the first user based on at least the association relationship and the content of each notification and the type of each notification in the at least one notification.

[0060] In some embodiments, if the at least one notification includes a plurality of notifications, the server device 120 can further cluster the plurality of notifications based on the type of each notification in the plurality of notifications, and then generate the notification message content based on the clustering result.

[0061] The type of notification may, for example, be associated with the interaction behavior corresponding to the notification. For example, if the plurality of notifications includes a group of notifications generated by the attention behavior, a group of notifications generated by the comment behavior, and a group of notifications generated by the private chat behavior, the server device 120 can determine that the plurality of notifications includes three types of notifications corresponding to the three behaviors (i.e., the attention behavior, the comment behavior, and the private chat behavior). The server device 110 may, for example, for each group of notifications of each type, generate a notification message content corresponding to the group of notifications based on the association relationship between the group of second users corresponding to the group of notifications and the first user and the group of notifications. The server device 120 may, in turn, generate the notification message content for the first user based on the plurality of notification message contents corresponding to the plurality of groups of notifications of the plurality of types. The generated notification message content may, for example, be a summary, an overview, an extraction of key information of the plurality of notification message contents to be aggregated, etc. In this way, different types of notifications can be distinguished, and it is convenient for the user to obtain notifications of various types.

[0062] In some embodiments, the server device 120 can further generate the notification message content for the first user based on the historical interaction information of the first user for at least one type of notification. Specifically, for each type of the at least one type of notification, the server device 120 can determine the historical interaction information of the first user for the type of notification. The historical interaction information can at least indicate a viewing record of the first user for the type of notification. Illustratively, the historical interaction information can indicate whether the first user has viewed the type of notification. For the type of notification that has been viewed by the first user, the historical interaction information can further indicate, for example, a time when the first user viewed the type of notification. The server device 120 can further generate the notification message content for the first user based on the historical interaction information, the association information and the at least one notification for the at least one type of notification.

[0063] In some embodiments, if the at least one notification comprises a plurality of notifications, the server device 120 can further determine respective priorities of the plurality of notifications based at least on the association information and the at least one notification. The server device 120 can determine the priorities in any suitable manner. For example, the server device 120 can determine the priorities based on predetermined rules or algorithms. For another example, the server device 120 can determine the priorities with the aid of a machine learning model. Illustratively, the closer the association information between a second user corresponding to a notification and the first user indicates that the second user is associated with the first user, the higher the priority corresponding to the notification. The closer the acquisition time (i.e., the time when the server device 120 acquires the notification) corresponding to a notification is to the current time, the higher the priority corresponding to the notification.

[0064] In some embodiments, the server device 120 can further determine the priority of a notification according to an urgency of the notification. The server device 120 can determine respective urgency of different notifications based on, for example, pre-configuration of the user and / or content in the notification. It can be appreciated that the higher the urgency corresponding to a notification, the more urgent the user needs to handle the notification. The urgency and the priority of each notification can be positively correlated. For example, the urgency of a notification belonging to an error type or containing error content can be the highest, and the priority of the notification belonging to the error type or containing the error content can be higher than that of other types of notifications. In some embodiments, the server device 120 can further determine the priority of a notification according to a type of interaction behavior that triggers the notification. For example, if the interaction behavior that triggers the notification is that another user comments on a post content, a comment content or the like of a digital assistant or other application published by the first user, the priority of the notification is higher.

[0065] In some embodiments, the server device 120 can also determine the priority of the notification based on the corresponding interaction behavior of the notification. For example, the priority of the notification corresponding to the interaction behavior of following can be higher than the priority of the notification corresponding to the interaction behavior of liking, which can be higher than the priority of the notification corresponding to the interaction behavior of commenting, and so on. In some embodiments, the server device 120 can also determine the priority of the notification based on the interaction content associated with the corresponding interaction behavior of the notification. For example, the priority of the notification corresponding to the interaction behavior of commenting can be higher if the comment content is positive (e.g., content indicating praise, compliment, or like) than if the comment content is negative.

[0066] The server device 120 can then generate the notification message content for the first user based on the respective priorities of the multiple notifications. In some embodiments, the higher the priority of a notification, the more priority the notification can be provided to the first user in the generated notification message content, and / or the more complete the description of the notification can be in the notification message content. For example, if the first group of notifications includes 100 notifications, the server device 110 can only provide the complete descriptions of the top 3 notifications with the highest priorities in the generated notification message content, and these 3 notifications can be presented before the content of the other notifications. The server device 120 can provide brief descriptions of the remaining notifications with lower priorities in the generated notification message content to ensure the brevity of the notification message content provided to the first user.

[0067] It can be appreciated that if the multiple notifications include multiple groups of notifications corresponding to multiple types, the server device 120 can also determine the priority of each notification in each group of notifications corresponding to each type, and generate the notification message content for the group of notifications based on the priorities. The server device 120 can also determine the respective priorities of the multiple types, and generate the notification message content for the first user based on the respective priorities of the multiple types and the multiple notification message contents corresponding to the multiple types.

[0068] In some embodiments, the server device 120 can generate a prompt input for the target machine learning model based on at least the association information and the at least one notification. The target machine learning model can be based on any suitable model structure, including but not limited to a Transformer model, a convolutional neural network (CNN), a recurrent neural network (RNN), a deep neural network (DNN), etc. In some embodiments, the target machine learning model can be based on a language model (LM). A language model can be capable of question-answering ability by learning from a large corpus. The target machine learning model can also be based on other suitable models. The target machine learning model may, for example, summarize, rank (e.g., rank notifications based on priority), etc. the at least one notification based on the prompt input to determine a model output corresponding to the prompt input.

[0069] The server device 120 can provide the prompt input to the target machine learning model to obtain a model output corresponding to the prompt input from the target machine learning model. The server device 120 can in turn determine the notification message content for the first user based on the model output of the target machine learning model. Illustratively, the model output can include text of the notification message content. The server device 120 can determine in advance a manner of providing the notification message content. For example, the server device 120 can provide the notification message content to the first user in the form of a card. The server device 120 can render the text of the notification message content on the card to obtain the notification message content, and in turn provide the notification message content in the form of the card to the first user. Illustratively, if the at least one notification includes multiple notifications, and the multiple notifications are of multiple types of notifications, the server device 120 can further determine text corresponding to each type of notification based on the model output (it can be understood that the text corresponding to the multiple types of notifications collectively make up the notification message content), and in turn generate a notification list, each row of which may, for example, present the text corresponding to one type of notification, which list may, for example, be the notification message content finally provided to the first user.

[0070] In some embodiments, if the at least one notification includes multiple notifications, the server device 120 can further determine to present the notifications corresponding to different priorities in different manners in the notification message content based on the respective priorities of the multiple notifications determined above. For example, the server device 120 can present the notifications corresponding to higher priorities in the notification message content in a salient manner such as bold, highlight, enlarged font, italic, underlined, etc., and present the notifications corresponding to lower priorities in the form of normal text.

[0071] At block 240, the server device 120 provides the notification message content to the first user. The server device 120 can provide the notification message content to the first user in any suitable form. For example, the server device 120 can provide a notification message of any suitable type, such as a text type, a card type, a list type, etc., to the user in the form of a pop-up window, a short message, etc., the specific content of the notification message being the notification message content determined in the above manner. The present disclosure does not limit the specific manner of providing the notification message content.

[0072] The specific manner of message notification will be described below in connection with some example scenarios of message notification.

[0073] In some example scenarios, the server device 120 can acquire the first group of notifications for the first user and generate the notification message content for the first user based on the first group of notifications in response to detecting a notification viewing request from the first user. The notification viewing request can indicate to provide the first user with notifications that have not been viewed by the first user. FIG. 3 shows a schematic diagram of a signaling flow 300 for message notification according to some embodiments of the present disclosure. For ease of discussion, the signaling flow 300 is described with reference to FIG. 1. As shown in FIG. 3, the signaling flow 300 involves a first user 310, a server device 120, a language model 320, and a database 330. Note that for ease of explanation, the signaling flow is shown from the perspective of the user in FIG. 3, as well as in FIG. 4 and FIG. 5 to be described below, but in fact the operations described for the user are performed by the client device corresponding to the user. For distinction, the client device corresponding to the first user is referred to as the first client device, the client device corresponding to the second user is referred to as the second client device, and so on.

[0074] The first client device corresponding to the first user 310 can provide a notification viewing control, for example, by clicking on a notification entry / inbox entry, etc. The first client device can determine that the notification viewing request from the first user 310 is received in response to receiving a triggering operation (e.g., a click operation, a hovering operation, a double-click operation, a long-press operation, etc.) of this notification viewing control by the first user 310. The first client device can provide the notification viewing request to the server device 120 via a communication connection between the first client device and the server device 120 so that the server device 120 detects (301) the notification viewing request from the first user 310.

[0075] The server device 120 can further obtain, from the database 330, a first set of notifications in response to the notification viewing request, the first set of notifications comprising notifications that the first user 310 has not viewed, e.g., notifications that have been cached for the first user between the time when the user last viewed notifications and the time when the user views the notifications. The database 330 can store a plurality of notifications associated with the first user 310. Specifically, the server device 120 can send (302) a request to the database 330 to obtain the first set of notifications. The database 330 can further return (303) the first set of notifications to the server device 120 in response to the request, the first set of notifications being between the time when the user last viewed notifications and the time when the user views the notifications.

[0076] The server device 120 can generate (304) a first prompt input for a target machine learning model (e.g., the language model 320) based on the association between each second user corresponding to the first set of notifications and the first user 310, the first set of notifications themselves, the type corresponding to the first set of notifications, historical interaction information of the first user 310 with each type of notification corresponding to the first set of notifications, etc. The server device 120 can provide (305) the first prompt input to the language model 320. The language model 320 can generate a corresponding model output based on the received first prompt input and return (306) the model output to the server device 120.

[0077] The server device 120 can further determine the notification message content based on the received model output. The determination of the notification message content can refer to the above description and will not be repeated here. The server device 120 can provide (307) the notification message content to the first user 310 for the first user 310 to view (308) the notification message content.

[0078] In this way, the server device 120 can generate a notification message content for the first user based on a first set of notifications that the first user has not viewed in response to a notification viewing request from the first user. This can help the first user quickly view the content that he has not viewed and can improve the efficiency of the first user viewing notifications.

[0079] In some example scenarios, a specific digital assistant can be configured to support message service. The configuration information of the digital assistant can provide functionalities of message query and message content generation. At this time, a query message of the first user to the digital assistant can be received in the interaction of the first user with the digital assistant. The server device 120 (which can be understood as a server device corresponding to the digital assistant) can obtain a second set of notifications based on the query message and generate notification message content for the first user based on the second set of notifications. The query message can indicate to provide a specific type of notification and / or a notification corresponding to a specific time period to the first user. FIG. 4 shows a schematic diagram of a signaling flow 400 for message notification according to some other embodiments of the present disclosure. For the convenience of discussion, the signaling flow 400 is described with reference to FIG. 1. As shown in FIG. 4, the signaling flow 400 involves the first user 310, the server device 120, the language model 320, and the database 330.

[0080] The first client device corresponding to the first user 310 can provide, for example, an interaction interface of the first user 310 and the digital assistant, which can be, for example, a conversation interface. The first client device can receive user input of the first user 310 via the interaction interface. The first client device can present the user input of the first user 310 in the form of conversation messages from the user in the interaction interface, and present the reply of the digital assistant to the conversation messages of the first user 310 in the form of conversation messages from the digital assistant. The first client device can determine to obtain a query message in response to the user input indicating to obtain a notification.

[0081] The first client device can provide the query message to the server device 120 via the communication connection between the first client device and the server device 120, so that the server device 120 receives the query message from the first user 310 (401). The server device 120 can determine the notification type of the notification to be queried and / or the time period corresponding to the notification to be queried based on the query message. For example, the query message is “who has followed me in the past month”, the server device 120 can determine that the notification type is the notification corresponding to the follow behavior and the corresponding time period is one month based on the query message. In the interaction with the digital assistant, the query message initiated by the user can be initiated by using natural language text and / or voice, etc.

[0082] The server device 120 can obtain a second set of notifications from the notifications associated with the first user 310 based on the determined result (i.e., the determined notification type and / or time period). In some embodiments, the server device 120 can obtain the second set of notifications from the notifications associated with the first user 310 based on the determined result by means of the plug-ins. Illustratively, the server device 120 can generate (402) a second prompt word input based on all the plug-ins associated with the digital assistant, which can instruct the target machine learning model (e.g., the language model 320) to determine at least one plug-in from all the plug-ins for obtaining the notifications and obtaining the historical interaction information and / or the social relationship between the second user corresponding to the notifications and the first user 310.

[0083] The server device 120 can provide the second prompt word input to the language model 320. The language model 320 can determine, based on the second prompt word input, a target plug-in (which can include at least one plug-in) to be invoked by the server device 120 and invocation parameters for invoking the target plug-in. The language model 320 can in turn return (403) the target plug-in and the invocation parameters to the server device 120. The target plug-in can include a first plug-in configured to obtain the notifications of the first user 310 corresponding to the notification type and / or the time period and a second plug-in configured to determine the historical interaction information and / or the social relationship between the plurality of users (or in other words, the second plug-in is configured to obtain the association information between the plurality of users). The invocation parameters for the first plug-in can include, for example, the determined notification type and / or the determined time period, and the invocation parameters for the second plug-in can include, for example, the set of second users corresponding to the second set of notifications and the user identifier of the first user 310. As mentioned previously, the user identifier can include a user name, an ID, a tag, an avatar, etc.

[0084] The server device 120 can invoke (405) the first plug-in associated with the digital assistant with the determined notification type and / or the determined time period and obtain the second set of notifications returned by the first plug-in. The server device 120 can also invoke (406) the second plug-in associated with the digital assistant with the set of second users corresponding to the second set of notifications (or in other words, the second set of second users) and the user identifier of the first user 310 and obtain the historical interaction information and / or the social relationship returned by the second plug-in. The server device 120 can in turn determine the association information between the first user 310 and the set of second users based on the historical interaction information and / or the social relationship returned by the second plug-in.

[0085] The server device 120 may, for example, generate a third prompt input for the target machine learning model (e.g., the language model 320) according to the second set of notifications, the second set of associations between the second set of notifications and the first user 310, the second set of notifications, the historical interaction information of the first user 310 with the second set of types of notifications corresponding to the second set of notifications, and the like. The server device 120 may, for example, provide (407) the third prompt input to the language model 320. The language model 320 may, based on the received third prompt input, generate a corresponding model output and return (408) the model output to the server device 120. The server device 120 may, in turn, determine the notification message content based on the received model output. The determination of the notification message content may, for example, refer to the above description and will not be repeated here. The server device 120 may, for example, provide (409) the notification message content to the first user 310 for the first user 310 to view the notification message content.

[0086] In some embodiments, the server device 120 may, in the interaction of the first user 310 with the digital assistant, provide the notification message content to the first user 310 as a reply to the query message. Specifically, the server device 120 may, for example, provide the notification message content to the first client device. The first client device may, for example, present the notification message content to the first user 310 in the form of a conversation message in the interaction interface of the first user 310 with the digital assistant.

[0087] In this way, the server device 120 may, in the interaction of the first user with the digital assistant, in response to detecting the query message indicating to provide the notification to the first user, obtain a set of notifications matching the query message, and generate the notification message content based on the set of notifications. The notification message content may, for example, be provided to the first user in the form of a reply to the query message, which may, for example, improve the efficiency of the first user viewing the notification, and enrich the interaction of the first user with the digital assistant.

[0088] In some example scenarios, the server device 120 may, in response to detecting at least one interaction behavior performed by a target second user of the at least one second user to the first user, determine at least one notification to the first user. FIG. 5 illustrates a schematic diagram of a signaling flow 500 for message notification according to yet some embodiments of the present disclosure. For ease of discussion, the signaling flow 500 is described with reference to FIG. 1. As shown in FIG. 5, the signaling flow 500 involves the first user 310, the server device 120, the language model 320, the database 330, and the second user 510.

[0089] The server device 120 can determine at least one notification to the first user 310 in response to detecting (501) at least one interaction behavior performed by the target second user (e.g., the second user 510) to the first user 310. For example, if the server device 120 detects a following behavior of the second user 510 to the first user 310, the server device 120 can determine a notification corresponding to the following behavior. The server device 120 can record (502) the determined notification in the database 330. In some embodiments, the server device 120 can also provide (503) prompt information to the second user 510 to inform the second user of the result of the interaction behavior. For example, the server device 120 can also provide prompt information to the second user 510 to inform the second user of the success of the following.

[0090] The server device 120 can also determine whether the at least one notification is to be pushed to the first user based on the association relationship between the second user 510 and the first user 310 and the at least one notification. Illustratively, the server device 120 can obtain (504) the association relationship between the second user 510 and the first user 310 from the database 330. The server device 120 can generate (505) a fourth prompt word input for a target machine learning model (e.g., the language model 320) based on the obtained association relationship and the at least one notification.

[0091] In some embodiments, in addition to considering the association relationship between users, the server device 120 can also determine the urgency of the at least one notification and / or the type of interaction behavior triggering the at least one notification. In some embodiments, the server device 120 can generate the fourth prompt word input based on the association relationship, the notification content of the at least one notification, and the urgency of the at least one notification and / or the type of interaction behavior. For example, if the notification is an error type notification or a notification including error content, the server device 120 can determine, based on the fourth prompt word input using the language model 320, that the notification is very likely to require the first user to handle it in a timely manner. For another example, if the interaction behavior triggering the notification is other users' post content, comment content, etc. of a digital assistant or other application published by the first user, the server device 120 can determine, based on the fourth prompt word input using the language model 320, whether such a notification needs to be pushed to the user in a timely manner.

[0092] In some embodiments, the server device 120 can further generate the fourth prompt input based on a speed or a proportion of the historical notifications corresponding to the notification type of each of the at least one notification being viewed by the first user. For example, if a group of historical notifications with the same or similar notification type or content as the at least one notification are each viewed by the first user in a timely manner, the server device 120 can determine that the first user views the group of historical notifications at a relatively fast speed, and further determine that the first user can expect to obtain notifications of the same type in a timely manner. The server device 120 can determine, based on the generated fourth prompt input, that the at least one notification with the type is likely to need to be provided to the first user in a timely manner, by using the language model 320. For another example, if a group of historical notifications are not read by the first user after being provided to the first user for a long time or are directly ignored by the first user, the server device 120 can determine that notifications of the type or notifications with similar content can not need to be pushed to the first user in a timely manner in the future.

[0093] It can be understood that the server device 120 can further generate or adjust the fourth prompt input based on other predetermined strategies, which are not limited in the present disclosure. In some embodiments, the strategy for the timely pushing of notifications can be user-configurable. For example, the first user can specify the type of notifications, the content of notifications, the user triggering the notifications, and the like, which are expected to be pushed in a timely manner. In this case, whether the currently received notification needs to be provided to the first user in a timely manner can be determined based on the user-configured strategy. In some embodiments, the user-configured strategy can be included in the fourth prompt input of the language model 320, so as to be determined by the language model 320 to generate the notification message content provided to the user.

[0094] The fourth prompt input can indicate whether to determine to provide the at least one notification to the first user 310. The server device 120 can provide (506) the fourth prompt input to the language model 320. The language model 320 can generate a corresponding model output based on the received first prompt input, and return (507) the model output to the server device 120.

[0095] The server device 120 can further determine whether to provide the at least one notification to the first user based on the received model output. If the server device 120 determines to provide the at least one notification to the first user 310, the server device 120 can generate a notification message content for the first user based on at least the at least one notification and the association between the second user 510 and the first user 310. The generation of the notification message content can be referred to the above description, which is not repeated here.

[0096] Thus, the server device 120 can determine, in response to detecting the interaction behavior of the second user, whether to automatically provide the notification corresponding to the interaction behavior to the first user based on the association relationship between the second user and the first user. This can improve the efficiency of the first user obtaining the notification.

[0097] To sum up, according to the embodiments of the present disclosure, the notification message content to be provided to the user can be determined in combination with the association information and the notification between multiple users, and then the notification message content is provided to the user. This helps to improve the efficiency of the user obtaining the notification.

[0098] Embodiments of the present disclosure also provide a corresponding apparatus for implementing the above method or process. FIG. 6 shows an exemplary structural block diagram of an apparatus 600 for message notification according to some embodiments of the present disclosure. The apparatus 600 can be implemented as or included in the server device 120. Various modules / components in the apparatus 600 can be implemented by hardware, software, firmware, or any combination thereof.

[0099] As shown in FIG. 6, the apparatus 600 includes a notification obtaining module 610 configured to obtain at least one notification for a first user, the at least one notification being respectively generated in response to an interaction behavior associated with the first user performed by at least one second user. The apparatus 600 further includes an information determining module 620 configured to determine association information between the first user and the at least one second user. The apparatus 600 further includes a content generating module 630 configured to generate, based on at least the association information and the at least one notification, notification message content for the first user. The apparatus 600 further includes a content providing module 640 configured to provide the notification message content to the first user.

[0100] In some embodiments, the association information includes at least one of the following: historical interaction information between the first user and the at least one second user, a social relationship between the first user and the at least one second user.

[0101] In some embodiments, the content generating module 630 is further configured to: determine, based on at least one type of the at least one notification, historical interaction information of the first user for a type of notification; and generate, based on the historical interaction information of the first user for the at least one type of notification, the notification message content for the first user.

[0102] In some embodiments, the at least one notification includes a plurality of notifications, and the content generating module 630 is further configured to: determine, based on at least the association information and the plurality of notifications, respective priorities of the plurality of notifications; and generate, based on the respective priorities of the plurality of notifications, the notification message content for the first user.

[0103] In some embodiments, the content generation module 630 is further configured to determine respective priorities of the plurality of notifications based further on urgency levels of the plurality of notifications, wherein the urgency levels of the plurality of notifications are determined based at least on user configurations and / or content in the plurality of notifications.

[0104] In some embodiments, the content generation module 630 is further configured to generate a prompt input for a target machine learning model based at least on the association information and the at least one notification; provide the prompt input to the target machine learning model; and determine the notification message content for the first user based on a model output of the target machine learning model.

[0105] In some embodiments, the notification obtaining module 610 is further configured to obtain a first set of notifications for the first user in response to detecting a notification viewing request from the first user, the first set of notifications comprising notifications that are not viewed by the first user.

[0106] In some embodiments, the notification obtaining module 610 is further configured to receive a query message of the first user to the digital assistant in the interaction of the first user with the digital assistant; determine a notification type to be queried and / or a time period corresponding to the notification to be queried based on the query message; and obtain a second set of notifications from the notifications associated with the first user based on the determined results.

[0107] In some embodiments, the notification obtaining module 610 is further configured to invoke a first plugin associated with the digital assistant with the determined notification type and / or the determined time period, the first plugin being configured to obtain notifications of the first user corresponding to the notification type and / or the time period; and obtain the second set of notifications returned by the first plugin.

[0108] In some embodiments, the information determining module 620 is further configured to invoke a second plugin associated with the digital assistant with a second set of user identities of a second set of users corresponding to the second set of notifications and the user identity of the first user, the second plugin being configured to determine historical interaction information and / or social relationship between the plurality of users; and determine the association information between the first user and the second set of users based on the historical interaction information and / or the social relationship returned by the second plugin.

[0109] In some embodiments, the content providing module 640 is further configured to provide the notification message content to the first user as a reply to the query message in the interaction of the first user with the digital assistant.

[0110] In some embodiments, the notification obtaining module 610 is further configured to determine at least one notification to the first user in response to detecting at least one interaction behavior performed by a target second user among the at least one second user to the first user; and the content generating module 630 is further configured to determine whether the at least one notification is to be pushed to the first user based on at least one of the following: the association information, the content in the at least one notification, the urgency of the at least one notification, the type of the at least one interaction behavior, and generate the notification message content containing the at least one notification in response to determining that the at least one notification is to be pushed to the first user.

[0111] In some embodiments, the interaction behavior corresponding to the at least one notification comprises at least one of the following: an interaction behavior performed to the first user, an interaction behavior performed to content published by the first user, an interaction behavior performed to a digital assistant published by the first user.

[0112] The units and / or modules included in the apparatus 600 can be implemented in various ways, including software, hardware, firmware, or any combination thereof. In some embodiments, one or more units and / or modules can be implemented using software and / or firmware, e.g., machine executable instructions stored on a storage medium. In addition to or alternatively, some or all of the units and / or modules in the apparatus 600 can be implemented at least partially by one or more hardware logic components. As an example and not by way of limitation, example types of hardware logic components that can be used include field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SOCs), complex programmable logic devices (CPLDs), etc.

[0113] It should be understood that one or more steps in the above methods can be performed by an appropriate electronic device or combination of electronic devices. Such electronic devices or combinations of electronic devices can include, for example, the server device 120 in FIG. 1.

[0114] FIG. 7 shows a block diagram of an electronic device 700 in which one or more embodiments of the disclosure can be implemented. It should be understood that the electronic device 700 illustrated in FIG. 7 is merely exemplary and should not be construed as limiting the functionality and scope of the embodiments described herein. The electronic device 700 illustrated in FIG. 7 can be used to implement the server device 120 in FIG. 1, or the apparatus 600 in FIG. 6.

[0115] As shown in FIG. 7, electronic device 700 is in the form of a general-purpose electronic device. Components of electronic device 700 can include, but are not limited to, one or more processing units or processors 710, memory 720, storage 730, one or more communication units 740, one or more input devices 750, and one or more output devices 760. Processor 710 can be a real or virtual processor and capable of executing various processing units according to programs stored in memory 720. In a multi-processing system, multiple processors can execute computer-executable instructions in parallel to improve the processing power of electronic device 700.

[0116] Electronic device 700 typically includes a plurality of computer storage media. Such media can be volatile and / or non-volatile memory, removable and / or 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. Memory 720 can be volatile (such as random access memory (RAM)), non-volatile (such as read-only memory (ROM), EEPROM, flash memory), or some combination of the two. Storage 730 can be removable or non-removable and can include machine-readable media, such as flash drives, magnetic disks, or any other medium that can be used to store information and / or data and that can be accessed by electronic device 700.

[0117] Electronic device 700 can further include additional removable / non-removable, volatile / non-volatile storage media. Although not shown in FIG. 7, a disk drive or other computer-readable media drive can be provided for reading from or writing to a removable, non-removable, volatile, or non-volatile computer-readable medium. In these instances, each drive can be connected to the bus (not shown) by one or more data media interfaces. Memory 720 can include a computer program product 725 having one or more program modules configured to carry out the various methods or actions of the various embodiments of the present disclosure.

[0118] Communication unit 740 enables communications with other electronic devices over a communication medium. Additionally, the functionality of the components of electronic device 700 can be implemented in a single computing cluster or a plurality of computer machines capable of communicating over a communication connection. As such, electronic device 700 can operate in a networked environment using logical connections to one or more other servers, network personal computers (PCs), or other network nodes.

[0119] Input device 750 can be one or more input devices, such as a mouse, a keyboard, a trackball, etc. Output device 760 can be one or more output devices, such as a display, a speaker, a printer, etc. Electronic device 700 can also communicate with one or more external devices (not shown) such as a storage device, a display device, etc. through communication unit 740, as desired, in order to communicate with one or more devices that enable a user to interact with electronic device 700, or to communicate with any device (e.g., a network card, a modem, etc.) that enables electronic device 700 to communicate with one or more other electronic devices. Such communication can be carried out via an input / output (I / O) interface (not shown).

[0120] According to an example implementation of the present disclosure, a computer readable storage medium is provided having computer executable instructions stored thereon, where the computer executable instructions are executed by a processor to implement the method described above. According to an example implementation of the present disclosure, a computer program product is also provided that is tangibly stored on a non-transitory computer readable medium and includes computer executable instructions, where the computer executable instructions are executed by a processor to implement the method described above.

[0121] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0122] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0123] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0124] The computer program product of the present disclosure can be a computer program product, which is a machine-readable medium (media) having instances of the software embodied thereon, such as computer software, firmware, wireless application protocol (WAP), middleware or microcode. For example, a computer program product can be a floppy disk, a CD-ROM, a DVD, a Blu-ray Disc™, a flash drive, a memory stick, a magnetic tape, or a hard disk drive. The machine-readable medium can be a single medium, or multiple media, of the same or different type. The computer program product can be one or more computer program components embodied in medium and / or transmission signals. The computer program product can have one or more computer program components embodied in medium and / or transmission signals.

[0125] Having thus described the various implementations of the present disclosure in detail, it will be apparent to those skilled in the present technology that numerous modifications and variations of the implementations described above can be made without departing from the scope of the various implementations. Accordingly, the above description is not intended to limit the scope of the various implementations, as the scope of the various implementations is to be defined by the appended claims.

Claims

1. A method for message notification, comprising: obtaining at least one notification for a first user, the at least one notification being respectively generated in response to an interactive behavior associated with the first user performed by at least one second user; determining association information between the first user and the at least one second user; generating notification message content for the first user based at least on the association information and the at least one notification; and providing the notification message content to the first user. 2.The method of claim 1, wherein the association information comprises at least one of: historical interactive information between the first user and the at least one second user, a social relationship between the first user and the at least one second user. 3.The method of claim 1, wherein generating notification message content for the first user comprises: determining historical interactive information of the first user to at least one type of notification based on the at least one type of notification; and generating the notification message content for the first user further based on the historical interactive information of the first user to the at least one type of notification. 4.The method of claim 1, wherein the at least one notification comprises a plurality of notifications, and wherein generating notification message content for the first user comprises: determining respective priorities of the plurality of notifications based at least on the association information and the plurality of notifications; and generating the notification message content for the first user based on the respective priorities of the plurality of notifications. 5.The method of claim 4, wherein determining respective priorities of the plurality of notifications comprises: determining the respective priorities of the plurality of notifications further based on urgency levels of the plurality of notifications, wherein the urgency levels of the plurality of notifications are determined based at least on user configurations and / or content in the plurality of notifications. 6.The method of claim 1, wherein generating notification message content for the first user comprises: generating prompt word input for a target machine learning model based at least on the association information and the at least one notification; providing the prompt word input to the target machine learning model; and determining the notification message content for the first user based on model output of the target machine learning model. 7.The method of claim 1, wherein obtaining at least one notification for a first user comprises: obtaining a first set of notifications for the first user in response to detecting a notification viewing request from the first user, the first set of notifications comprising notifications that are not viewed by the first user. 8.The method of claim 1, wherein obtaining at least one notification for a first user comprises: receiving a query message of the first user to a digital assistant in an interaction of the first user with the digital assistant; determining a notification type to be queried and / or a time period corresponding to a notification to be queried based on the query message; obtaining a second set of notifications from notifications associated with the first user based on the determined result. ​ ​ ​ ​ 9.The method of claim 8, wherein obtaining a second set of notifications from notifications associated with the first user comprises: invoking a first plugin associated with the digital assistant with the determined notification type and / or the determined time period, the first plugin configured to obtain notifications of the first user corresponding to the notification type and / or the time period; and obtaining the second set of notifications returned by the first plugin. 10.The method of claim 8, wherein determining the association information between the first user and the at least one second user comprises: invoking a second plugin associated with the digital assistant with a set of second user and first user user identifiers corresponding to the second set of notifications, the second plugin configured to determine association information between a plurality of users; and obtaining the association information returned by the second plugin. 11.The method of claim 8, wherein providing the notification message content to the first user comprises: providing the notification message content to the first user as a reply to the query message in an interaction between the first user and the digital assistant. 12.The method of claim 1, wherein obtaining at least one notification for a first user comprises: determining at least one notification for the first user in response to detecting at least one interaction behavior performed by a target second user of the at least one second user with the first user; and wherein generating notification message content for the first user comprises: determining whether the at least one notification is to be pushed to the first user based on at least one of the association information, content in the at least one notification, urgency of the at least one notification, type of the at least one interaction behavior, and generating notification message content containing the at least one notification in response to determining that the at least one notification is to be pushed to the first user. 13.The method of claim 1, wherein the at least one notification corresponds to an interaction behavior comprising at least one of: an interaction behavior performed on the first user, an interaction behavior performed on content posted by the first user, an interaction behavior performed on a digital assistant posted by the first user. 14.An apparatus for message notification, comprising: a notification obtaining module configured to obtain at least one notification for a first user, the at least one notification respectively generated in response to an interaction behavior associated with the first user performed by at least one second user; an information determining module configured to determine association information between the first user and the at least one second user; a content generating module configured to generate notification message content for the first user based on at least the association information and the at least one notification; and a content providing module configured to provide the notification message content to the first user. 15.An electronic device, comprising: at least one processor; and ​ at least one memory coupled to the at least one processor and storing instructions for execution by the at least one processor, the instructions, when executed by the at least one processor, cause the electronic device to perform the method according to any one of claims 1-13.

16. A computer-readable storage medium having computer-executable instructions stored thereon that are executable by a processor to implement the method according to any one of claims 1-13.

17. A computer program product comprising computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, implement the method according to any one of claims 1-13.

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