CN115186199A

CN115186199A - Method, apparatus, and medium for social recommendation in a virtual environment

Info

Publication number: CN115186199A
Application number: CN202210801494.8A
Authority: CN
Inventors: 陈剑峰
Original assignee: Lingyue Digital Information Technology Co ltd
Current assignee: Lingyue Digital Information Technology Co ltd
Priority date: 2022-07-07
Filing date: 2022-07-07
Publication date: 2022-10-14

Abstract

The present disclosure relates to methods, apparatuses, and media for social recommendation in a virtual environment. A method for social recommendation in a virtual environment, comprising: determining an object of interest of a first user and a second user in the virtual environment, each in the virtual environment; determining the matching degree of the attention objects of the first user and the second user according to the attention objects of the first user and the second user; and recommending the second user to the first user in response to the matching degree of the attention object exceeding a preset threshold value of the matching degree of the attention object.

Description

Method, apparatus, and medium for social recommendation in a virtual environment

Technical Field

The present disclosure relates to the field of computer technology, and more particularly, to social recommendation in virtual environments.

Background

With the development of computer technology, virtual reality technology combining a virtual environment with a real environment is receiving more and more attention. Virtual Reality includes a plurality of technical branches such as AR (Augmented Reality), VR (Virtual Reality), MR (Mixed Reality), and the like.

The AR superimposes the virtual information in the real environment through equipment identification and judgment, and therefore the virtual information is interacted in real time in the real environment. VR is commonly referred to as immersive virtual reality and presents a fully virtual environment to a user, giving the user a sense of being in the real world. MR refers to a new visualization environment resulting from the merging of real and virtual worlds, where physical and digital objects coexist and interact in real time.

On the basis of the above virtual reality technology, the concept of the metaseque (Metaverse) arises. The meta universe is a virtual world which is linked and created based on the virtual reality technology and is mapped and interacted with the real world, and is a digital living space with a novel social system.

Disclosure of Invention

In a virtual environment, the user's image is digitally transformed and may not embody the user's real face and character, which presents challenges to social patterns in the virtual environment. The inventor of the present disclosure has noted social issues in virtual environments and proposes a mechanism for social recommendation in virtual environments that can better recommend other users that may be interested in a virtual environment to a user to promote social interaction between users in the virtual environment.

According to one aspect of the present disclosure, there is provided a method for social recommendation in a virtual environment, comprising: determining an object of interest of a first user and a second user in the virtual environment, each in the virtual environment; determining the matching degree of the attention objects of the first user and the second user according to the attention objects of the first user and the second user; and recommending the second user to the first user in response to the fact that the matching degree of the attention object exceeds a preset threshold of the matching degree of the attention object.

According to another aspect of the present disclosure, there is provided an apparatus for social recommendation in a virtual environment, comprising: a memory having instructions stored thereon; and a processor configured to execute instructions stored on the memory to perform the following: determining an object of interest of a first user and a second user in the virtual environment, each in the virtual environment; determining the matching degree of the attention objects of the first user and the second user according to the attention objects of the first user and the second user; and recommending the second user to the first user in response to the fact that the matching degree of the attention object exceeds a preset threshold of the matching degree of the attention object.

According to yet another aspect of the present disclosure, a computer-readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, causes the processor to perform a method as in accordance with the present disclosure.

Drawings

The present disclosure will now be described in the following detailed description with reference to the figures, in which like reference numerals represent the same or similar components throughout the figures. It is understood that the drawings are not necessarily to scale and that the drawings are merely illustrative of exemplary embodiments of the disclosure and should not be considered as limiting the scope of the disclosure. Wherein:

FIG. 1 illustrates an exemplary block configuration of an apparatus for social recommendation in a virtual environment, in accordance with embodiments of the present disclosure;

FIG. 2 illustrates an exemplary flow diagram of a method for social recommendation in a virtual environment, in accordance with embodiments of the present disclosure;

FIG. 3 illustrates an exemplary configuration block diagram of an apparatus for social recommendation in a virtual environment, according to another embodiment of the present disclosure;

FIG. 4 illustrates an exemplary flow diagram of a method for social recommendation in a virtual environment, according to another embodiment of the present disclosure; and

FIG. 5 illustrates an exemplary configuration of a computing device in which embodiments in accordance with the present invention may be implemented.

Detailed Description

Various exemplary embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. It is to be understood that the description of various exemplary embodiments is illustrative only and is not intended to limit the technology of the present disclosure in any way. The relative arrangement of components and steps, expressions, and values in the exemplary embodiments do not limit the scope of the present disclosure unless it is specifically stated otherwise.

Fig. 1 illustrates an exemplary configuration block diagram of an apparatus 1000 for social recommendation in a virtual environment, in accordance with an embodiment of the present disclosure.

As shown in fig. 1, in some embodiments, the apparatus 1000 may include a processor 1010. The processor 1010 of the device 1000 provides various functions of the device 1000. In some embodiments, the processor 1010 of the apparatus 1000 may be configured to execute a method 2000 for social recommendation in a virtual environment (described below with reference to fig. 2). Specifically, as shown in fig. 1, the processor 1010 of the apparatus 1000 may include an attention object determining unit 1020, an attention object matching degree determining unit 1030, and a user recommending unit 1040, which are respectively configured to execute steps S2010 to S2030 in the method 2000 for social recommendation in a virtual environment shown in fig. 2 described later. It should be understood that the units of the apparatus 1000 shown in fig. 1 are only logic modules divided according to the specific functions implemented by the units, and are not used for limiting the specific implementation manner. In actual implementation, the above modules may be implemented as independent physical entities, or may also be implemented by a single entity (for example, a processor (CPU or DSP, etc.), an integrated circuit, etc.).

The processor 1010 of the device 1000 may refer to various implementations of digital circuitry, analog circuitry, or mixed-signal (a combination of analog and digital) circuitry that perform functions in a computing system. The processing circuitry may include, for example, circuitry such as an Integrated Circuit (IC), an Application Specific Integrated Circuit (ASIC), portions or circuits of an individual processor core, an entire processor core, an individual processor, a programmable hardware device such as a Field Programmable Gate Array (FPGA), and/or a system including multiple processors.

In some embodiments, the apparatus 1000 may also include a memory (not shown). The memory of device 1000 may store information generated by processor 1010, as well as programs and data for operation of processor 1010. The memory may be volatile memory and/or non-volatile memory. For example, memory may include, but is not limited to, random Access Memory (RAM), dynamic Random Access Memory (DRAM), static Random Access Memory (SRAM), read Only Memory (ROM), and flash memory. Additionally, the apparatus 1000 may be implemented at a chip level, or may also be implemented at a device level by including other external components.

In some embodiments, apparatus 1000 may be integrated in a virtual reality device such as AR, VR, MR, metas, etc., and the method for social recommendation in a virtual environment is performed when the device is enabled by a user. In some embodiments, the apparatus 1000 may also be implemented as a separate apparatus, cooperating and communicating with a virtual reality device of a user. In the case where the apparatus 1000 is a device carried by a user, the apparatus 1000 of each user may interact to exchange desired information. In some embodiments, the apparatus 1000 may be configured at a server, and configured to collect and analyze information of a plurality of users in a virtual environment, and send information for performing social recommendation on the plurality of users to virtual reality devices carried by the users, respectively.

Fig. 2 illustrates an exemplary flow diagram of a method 2000 for social recommendation in a virtual environment, in accordance with embodiments of the present disclosure. The method may be used, for example, in the apparatus 1000 shown in fig. 1.

The virtual environments described in this disclosure are virtual environments that are presented to a user using virtual reality techniques, including but not limited to virtual environments presented using AR, VR, MR, metastables, etc., such as virtual showrooms, virtual performance venues, etc. Furthermore, the virtual environment described in this disclosure is not limited to a fully virtual environment, but may also include a combination of virtual and real environments. Additionally, the users described in this disclosure are users that experience in a virtual environment using virtual reality techniques. The user enters the virtual environment by using the virtual reality equipment worn by the user, the virtual image corresponding to the user is displayed in the virtual environment, the virtual images of other users in the virtual environment can be seen, the user interacts with other users, interacts with virtual objects in the virtual environment and the like.

As shown in fig. 2, in S2010, the attention object determining unit 1020 determines the attention objects of the first user and the second user in the virtual environment each in the virtual environment.

A plurality of virtual objects may be included in the virtual environment. For example, where the virtual environment is a virtual exhibition hall (e.g., a virtual car exhibition), the virtual object may be a virtual item (e.g., a virtual vehicle) that is exhibited in the virtual exhibition hall. Additionally, the virtual object may also be one or more detailed portions of a virtual item (e.g., lights, wheels, etc. of a virtual vehicle). As another example, a virtual object may also be one or more services provided in a virtual environment.

The objects of interest to the user in the virtual environment are one or more objects in the virtual environment that may be of interest to the user. In one embodiment, the object of interest may be at least one of: one or more virtual items in the virtual environment; one or more detail portions of a virtual item in the virtual environment; and one or more services provided in the virtual environment.

In some embodiments, the attention object determination unit 1020 may determine the attention object of the user in the virtual environment according to the browsing time of the virtual object by the user in the virtual environment. For example, an eyeball attention time of a user to a certain virtual object may be captured by the apparatus 1000 or a virtual reality device interacting with the apparatus 1000, and the virtual object is determined to be an attention object if the attention time exceeds a predetermined threshold.

In some embodiments, the attention object determination unit 1020 may determine the attention object of the user in the virtual environment according to whether the user interacts with the virtual object. For example, the motion of the user may be captured by the apparatus 1000 or a virtual reality device interacting with the apparatus 1000, so as to determine whether a valid interaction between the user and the virtual object is performed, for example, the virtual object is rotated, zoomed, and the like, and in the case of the valid interaction, the virtual object may be determined as the attention object of the user.

In some embodiments, the attention object determination unit 1020 may determine the attention object of the user in the virtual environment according to whether the user commented on the virtual object. For example, an utterance of a user may be captured by the apparatus 1000 or a virtual reality device interacting with the apparatus 1000 and a determination is made whether the user has commented on a virtual object. In the case where the user makes a positive comment on the virtual object, it may be determined that the virtual object is an object of interest of the user.

Further, the attention object determining unit 1020 may also detect the attention object by performing brain wave sensing or the like on the user. It should be understood that the manner of determining the attention object in the present disclosure is not limited to the above example, and other manners may be designed according to actual requirements.

Next, in S2020, the attention object matching degree determination unit 1030 determines the attention object matching degree between the first user and the second user from the attention object of the first user and the attention object of the second user.

In some embodiments, the degree of matching between the attention object of the first user and the attention object of the second user may be determined according to the similarity between the attention object of the first user and the attention object of the second user.

For example, assuming that the attention object of the user a is determined to be the virtual vehicles a, B, the attention object of the user B is the virtual vehicles a, B, and the attention object of the user C is the virtual vehicles a, C in S2010, the attention object matching degree of the user a and the user B is determined to be 1 (the attention objects are identical) and the attention object matching degree of the user a and the user C is determined to be 0.5 (the attention objects are half identical) in S2020. It should be understood that the above method for calculating the matching degree of the attention object is only an example, and those skilled in the art may design other methods for calculating the matching degree of the attention object as long as they can embody the matching degree of the attention object between users.

Next, in S2030, the user recommending unit 1040 recommends the second user to the first user in response to the attention object matching degree exceeding a preset attention object matching degree threshold value.

For example, if the threshold of the degree of matching between the attention objects is set to 0.8 in advance, the degree of matching between the attention objects of the user a and the user B is 1, and exceeds the threshold of the degree of matching between the attention objects of 0.8, the user recommending unit 1040 recommends the user B to the user a. In addition, since the degree of matching between the attention object of the user a and the attention object of the user C is 0.5, which is lower than the threshold value of the degree of matching between the attention objects of 0.8, the user recommending unit 1040 does not recommend the user C to the user a. It should be understood that the threshold of the matching degree of the attention object may be preset according to any rule, or may be adjusted by the user according to actual needs. For example, when the user wishes to make more friends, the threshold of the matching degree of the attention object may be set lower, and when the user wishes to make friend matching more accurately, the threshold of the matching degree of the attention object may be set higher.

In some embodiments, a social recommendation list may be generated to the first user that includes one or more second users to recommend. The social recommendation list may be displayed in a virtual environment, for example, to prompt the first user. The social recommendation list may also be tagged on a virtual object (e.g., a virtual item, a virtual service, etc.) of interest to the first user. In addition, a display interface, such as "same interests/actors," may also be provided to the first user in the virtual environment for the first user to interact with to display and query the social recommendation list.

According to the method 2000 for making social recommendations in a virtual environment of the present disclosure, social recommendations are made based on how well users match objects of interest in the virtual environment, and other users who may be interested in the virtual environment can be better recommended to the users to promote social interaction among the users in the virtual environment.

Next, an exemplary configuration block diagram of an apparatus 3000 for social recommendation in a virtual environment according to another embodiment of the present disclosure is described with reference to fig. 3.

As shown in fig. 3, in some embodiments, the apparatus 3000 may include a processor 3010. The processor 3010 of the device 3000 provides various functions for the device 3000. In some embodiments, the processor 3010 of the apparatus 3000 may be configured to execute a method 4000 for social recommendation in a virtual environment (described below with reference to fig. 4). Specifically, as shown in fig. 1, the processor 3010 of the apparatus 3000 may include an experience time period determining unit 3020, an engagement time matching degree determining unit 3030, and a user recommending unit 3040, which are respectively configured to execute steps S4010 to S4030 in a method 4000 for social recommendation in a virtual environment shown in fig. 4 described later. It should be understood that the units of the apparatus 3000 shown in fig. 3 are only logic modules divided according to the specific functions implemented by the units, and are not used for limiting the specific implementation manner. In actual implementation, the above modules may be implemented as separate physical entities, or may also be implemented by a single entity (e.g., a processor (CPU or DSP, etc.), an integrated circuit, etc.).

Processor 3010 of device 3000 may refer to various implementations of digital, analog, or mixed signal (a combination of analog and digital) circuitry for performing functions in a computing system. The processing circuitry may include, for example, circuitry such as an Integrated Circuit (IC), an Application Specific Integrated Circuit (ASIC), portions or circuits of an individual processor core, an entire processor core, an individual processor, a programmable hardware device such as a Field Programmable Gate Array (FPGA), and/or a system including multiple processors.

In some embodiments, the apparatus 3000 may further comprise a memory (not shown). The memory of device 3000 may store information generated by processor 3010, as well as programs and data for operation of processor 1010. The memory may be volatile memory and/or non-volatile memory. For example, memory may include, but is not limited to, random Access Memory (RAM), dynamic Random Access Memory (DRAM), static Random Access Memory (SRAM), read Only Memory (ROM), and flash memory. Additionally, the apparatus 3000 may be implemented at the chip level, or may also be implemented at the device level by including other external components.

Fig. 4 illustrates an exemplary flow diagram of a method 4000 for social recommendation in a virtual environment according to an embodiment of the present disclosure. The method may be used, for example, in an apparatus 3000 as shown in fig. 3.

As shown in fig. 4, in S4010, the experience period determination unit 3020 may determine the experience periods of the first user and the second user in the virtual environment. For example, the time period of the user's experience in the virtual environment may be determined based on the time the user enters the virtual environment to leave the virtual environment.

Next, in S4020, the engagement time matching degree determination unit 3030 may determine the engagement time matching degree between the first user and the second user according to the experience time period of the first user and the experience time period of the second user.

In some embodiments, the degree of match of the engagement time of the first user with the second user may be related to the degree of overlap of the first user's experience time period and the second user's experience time period. For example, a higher degree of overlap indicates a higher degree of matching of the participation time of the first user with the second user.

By way of example, suppose that the experience period of user a in the virtual environment is 6 months, 11 days, saturday 10. Since the experience time periods of the user a and the user B are completely overlapped, the matching degree of the participation time of the user a and the user B can be determined to be 1. In addition, since the user a and the user C overlap for 1 hour in the experience time period of 2 hours, the matching degree of the participation time of the user a and the user C may be determined to be 0.5. It should be understood that the above method for calculating the engagement time matching degree is only an example, and those skilled in the art can design other methods for calculating the engagement time matching degree as long as they can embody the overlapping degree of the experience time periods of the users in the virtual environment.

Next, in S4030, the user recommending unit 3040 recommends the second user to the first user in response to the engagement time matching degree exceeding a preset engagement time matching degree threshold.

For example, if the threshold of the degree of matching of the participation time is set to 0.8 in advance, the threshold of the degree of matching of the participation time of the user a and the user B is 1, and exceeds the threshold of the degree of matching of the participation time by 0.8, the user recommending unit 3040 recommends the user B to the user a. In addition, since the threshold of the matching degree of the participation time between the user a and the user C is 0.5 and is lower than the threshold of the matching degree of the participation time 0.8, the user recommending unit 3040 does not recommend the user C to the user a. It should be understood that the threshold of the matching degree of the participation time may be preset according to any rule, or may be adjusted by the user according to actual requirements, for example, when the user wants to tie more friends, the threshold of the matching degree of the participation time may be set to be lower, and when the user wants to perform friend matching more accurately, the threshold of the matching degree of the participation time may be set to be higher.

In the present disclosure, the user recommendation is made according to the engagement time matching degree, and it is possible to recommend to the user a user who has experienced the same virtual environment in the past in the same or similar time period, and the user is considered to have the same interest with a high possibility.

In some embodiments, when considering the degree of overlap of the first user's experience period and the second user's experience period, it may also be considered whether the user's experience period is a corresponding day of the week. For example, assuming that the experience period of user D in the virtual environment is 6 months, 4 days, saturday 10. In contrast, although both user a and user B experienced the virtual environment in the 00am period of 10. Further, the degree of overlap of experience periods may also be determined taking into account whether the user's experience periods are a corresponding number of days of the week, such as whether all experiences were made to the virtual environment on weekends, or all weekdays.

In some embodiments, the engagement time match between the first user and the second user may be related to the duration of the interval between the experience time period of the first user and the experience time period of the second user. For example, the shorter the interval duration, the higher the matching degree of the participation time of the first user and the second user can be considered. Still taking the user a, the user B, and the user D as examples, the duration of the interval between the experience time periods of the user a and the user B is 1 day, and the duration of the interval between the experience time periods of the user a and the user D is 7 days, and it can be considered that the matching degree of the participation time of the user a and the user B is higher than the matching degree of the participation time of the user a and the user D.

In some embodiments, the degree of match of the engagement time of the first user with the second user may be related to the number of times the first user experiences the virtual environment within the predetermined time period and the number of times the second user experiences the virtual environment within the predetermined time period. The number of times a user experiences a virtual environment within a predetermined period of time is also noted in this disclosure as the frequency of experience.

As an example, suppose user A experienced the virtual environment 5 times in a month (i.e., frequency of experience is 5), user B experienced the virtual environment 5 times in a month (i.e., frequency of experience is 5), and user C experienced the virtual environment 2 times in a month (i.e., frequency of experience is 2). In some embodiments, it may be considered that the closer the experience frequencies of the users are, the higher the matching degree of the participation time is. Therefore, the matching degree of the participation time of the user a and the user B is higher than that of the user a and the user C. In addition, a threshold of the degree of matching of the participation time may be set in advance, and another user having a degree of matching of the participation time higher than the threshold of the degree of matching of the preset participation time may be recommended to the user a. In other embodiments, a threshold frequency of experience may be set (e.g., a threshold frequency of experience of 3, indicating that 3 experiences are performed in a month), and a plurality of users with a frequency of experience above the threshold frequency of experience may be determined to have a higher match for engagement time. For example, the experience frequency of the user a and the experience frequency of the user B are both higher than the experience frequency threshold, and both of the users may be considered to have higher interest in the virtual environment, so that the participation time matching degree is high, and the user B may be recommended to the user a.

According to the method 4000 for making social recommendation in the virtual environment, social recommendation is made based on the participation time matching degree of the user in the virtual environment, and the user with the time matching degree in the virtual environment can be recommended to the user so as to promote social contact among the users in the virtual environment. In addition, since the degree of the engagement time matching is taken into consideration, it is possible to recommend another user who has experienced the virtual environment in the past to the user in the virtual environment.

In some embodiments, method 4000 may be combined with method 2000 to make social recommendations. In this case, the apparatus 1000 in fig. 1 and the apparatus 3000 in fig. 3 may be combined into one apparatus, and the user recommending unit 1040 in fig. 1 and the user recommending unit 3040 in fig. 3 may be combined into one unit for user recommendation. In some embodiments, the user matching degree of the first user and the second user can be determined according to the attention object matching degree and the participation time matching degree of the first user and the second user. In addition, the second user is recommended to the first user in response to the fact that the user matching degree exceeds a preset user matching degree threshold value. Therefore, social recommendation can be performed by comprehensively considering the matching degree of the attention objects of the users and the matching degree of the participation time, and more accurate recommendation can be performed to the users.

In some embodiments, the user matching degree may be, for example, the sum of the object matching degree and the participation time matching degree. In other embodiments, the engagement time matching degree may be used to weight the matching degree of the object of interest to determine the user matching degree. For example, the lower the degree of engagement time matching, the lower the weighting to be weighted. Thus, more accurate social recommendations can be made to the user, since the impact of the time dimension is taken into account (the lower the degree of time matching (e.g., the longer the interval between experience periods), the lower the probability that the user is likely to be interested in.

In some embodiments, a display modality of a second user in the virtual environment may be determined for the first user according to the user matching degree. For example, the lower the user match, the more differentiated the second user is made to be displayed compared to the first user in the virtual environment display of the first user. Thus, the user can easily distinguish a user with a high user matching degree from a user with a low user matching degree in the virtual environment.

In some embodiments, the differentiated display may be such that the second user is less conspicuous than the display of the first user, so that the first user may ignore users with low matching. For example, the lower the user matching degree between the first user and the second user, the more blurred, transparent, or smaller the second user may be displayed on the virtual environment display screen of the first user. In addition, a threshold value may be set in advance, and when the user matching degree is lower than the threshold value, the second user may be displayed in a completely transparent manner and disappear from the virtual environment display screen of the first user.

In some embodiments, an actual environment that is capable of providing a service related to an object of interest of a first user in a virtual environment may be recommended to the first user based on the object of interest. For example, in the case where the virtual environment is a virtual vehicle exhibition, in the case where it is determined in step S2010 of the method 2000 that the attention object of the user a is the virtual vehicle a, a vehicle sales storefront capable of providing services such as test driving, purchase, and the like of the real vehicle a corresponding to the virtual vehicle a may be recommended to the user a for the user a to experience in the real world.

In some embodiments, in a case where the first user has a plurality of attention objects in the virtual environment, an actual environment capable of providing a service related to at least one attention object of the plurality of attention objects may be set as a candidate actual environment, and an actual environment in which the number of attention objects capable of providing the service is the largest among the candidate actual environments may be preferentially recommended to the first user.

As an example, assume that it is determined in step S2010 of method 2000 that the objects of interest of user a are virtual vehicles a, b, c, the on-sale vehicles of vehicle sales storefront 1 include actual vehicles a, b, c, the on-sale vehicles a, b of vehicle sales storefront 2, the on-sale vehicles of vehicle sales storefront 3 include actual vehicle c, and the on-sale vehicles of vehicle sales storefront 4 include actual vehicle d. Vehicle sales storefronts 1-3 can be determined as candidate real environments because they all include services related to at least one of the user A's objects of interest (virtual vehicles a, b, c). In addition, since the vehicle sales storefront 1 has the largest number of interested objects capable of providing services, that is, the real vehicle services can be provided to all the 3 types of virtual vehicles that the user a is interested in, the vehicle sales storefront 1 is preferentially recommended to the user a.

In addition, in some embodiments, the candidate actual environments recommended to the user may be ranked according to the number of the objects of interest capable of providing the service, for example, the vehicle sales storefront 1 is ranked first (capable of providing the service of the virtual vehicle in the 3 st that the user a is interested in), the vehicle sales storefront 2 is ranked second (capable of providing the service of the virtual vehicle in the 2 nd that the user a is interested in), and the vehicle sales storefront 3 is ranked third (capable of providing the service of the virtual vehicle in the 1 st that the user a is interested in), so that the user can more clearly grasp the service condition of the objects of interest, and can better select the actual environment.

FIG. 5 illustrates an exemplary configuration of a computing device 500 capable of implementing embodiments in accordance with the invention.

Computing device 500 is an example of hardware devices in which the above-described aspects of the present invention can be applied. Computing device 500 may be any machine configured to perform processes and/or computations. Computing device 500 may be, but is not limited to, a workstation, a server, a desktop computer, a laptop computer, a tablet computer, a Personal Data Assistant (PDA), a smart phone, an in-vehicle computer, or a combination thereof.

As shown in fig. 5, computing device 500 may include one or more elements that may be connected to or communicate with bus 502 via one or more interfaces. Bus 502 may include, but is not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an Enhanced ISA (EISA) bus, a Video Electronics Standards Association (VESA) local bus, a Peripheral Component Interconnect (PCI) bus, and the like. Computing device 500 may include, for example, one or more processors 504, one or more input devices 506, and one or more output devices 508. The one or more processors 504 may be any kind of processor and may include, but are not limited to, one or more general-purpose processors or special-purpose processors (such as special-purpose processing chips). Processor 502, which may correspond to, for example, processor 1010 of fig. 1 or processor 3010 of fig. 3, is configured to implement the functions of the units of the apparatus for social recommendation in a virtual environment of the present invention. Input device 506 may be any type of input device capable of inputting information to a computing device and may include, but is not limited to, a mouse, a keyboard, a touch screen, a microphone, and/or a remote control. Output device 508 can be any type of device capable of presenting information and can include, but is not limited to, a display, speakers, a video/audio output terminal, a vibrator, and/or a printer.

Computing device 500 may also include or be connected to a non-transitory storage device 514, which non-transitory storage device 514 may be any non-transitory and may implement a storage of data, and may include, but is not limited to, disk drives, optical storage devices, solid state memory, floppy disks, flexible disks, hard disks, magnetic tape, or any other magnetic medium, compact disks or any other optical medium, cache memory, and/or any other memory chip or module, and/or any other medium from which a computer may read data, instructions, and/or code. Computing device 500 may also include Random Access Memory (RAM) 510 and Read Only Memory (ROM) 512. The ROM 512 may store programs, utilities or processes to be executed in a nonvolatile manner. The RAM 510 may provide volatile data storage, and stores instructions related to the operation of the computing device 500. Computing device 500 may also include a network/bus interface 516 coupled to a data link 518. The network/bus interface 516 may be any kind of device or system capable of enabling communication with external devices and/or networks, and may include, but is not limited to, a modem, a network card, an infrared communication device, a wireless communication device, and/or a chipset (such as bluetooth) ^TM Devices, IEEE802.11 devices, wiFi devices, wiMax devices, mobile cellular communications facilities, etc.).

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Furthermore, in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or order. Further, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.

Reference throughout this specification to "an embodiment" or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrases "in embodiments of the present disclosure" and similar language throughout this specification do not necessarily all refer to the same embodiment.

Those skilled in the art should appreciate that the present disclosure may be implemented in various forms, such as an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-program code, etc.) or an embodiment in both software and hardware, which will hereinafter be referred to as a "circuit," module, "" unit "or" system. Furthermore, the present disclosure may also be implemented in any tangible media form as a computer program product having computer usable program code stored thereon.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of systems, apparatuses, methods and computer program products according to specific embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and any combination of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be executed by a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implement the functions or acts specified in the flowchart and/or block diagram block or blocks.

Flowcharts and block diagrams of the architecture, functionality, and operation in which systems, apparatuses, methods and computer program products according to various embodiments of the present disclosure may be implemented are shown in the accompanying drawings. Accordingly, each block in the flowchart or block diagrams may represent a module, segment, or portion of program code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in the drawings may be executed substantially concurrently, or in some cases, in the reverse order from the drawing depending on the functions involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the market technology, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for social recommendation in a virtual environment, comprising:

determining an object of interest of a first user and a second user in the virtual environment, each in the virtual environment;

determining the matching degree of the attention objects of the first user and the second user according to the attention objects of the first user and the second user; and

and recommending the second user to the first user in response to the fact that the matching degree of the attention object exceeds a preset threshold value of the matching degree of the attention object.

2. The method of claim 1, wherein the object of interest is at least one of:

one or more virtual items in the virtual environment;

one or more detail portions of a virtual item in the virtual environment; and

one or more services provided in the virtual environment.

3. The method of claim 1, wherein the method further comprises:

determining a period of experience time of the first user and the second user in the virtual environment;

determining the matching degree of the participation time of the first user and the second user according to the experience time period of the first user and the experience time period of the second user; and

and recommending the second user to the first user in response to the participation time matching degree exceeding a preset participation time matching degree threshold.

4. The method of claim 3, wherein the degree of time matching of the first user's engagement with the second user is related to a degree of overlap of the first user's experience time period and the second user's experience time period, or related to a length of an interval between the first user's experience time period and the second user's experience time period, or related to a number of times the first user experiences the virtual environment within a predetermined time period and a number of times the second user experiences the virtual environment within the predetermined time period.

5. The method of claim 3, wherein the method further comprises:

determining the user matching degree of the first user and the second user according to the attention object matching degree and the participation time matching degree of the first user and the second user;

and recommending the second user to the first user in response to the user matching degree exceeding a preset user matching degree threshold value.

6. The method of claim 5, wherein determining a user match of the first user with the second user based on the object of interest match and the engagement time match of the first user with the second user comprises:

weighting the object of interest matching degree by using the engagement time matching degree to determine the user matching degree,

wherein, the lower the matching degree of the participation time is, the lower the weighting is.

7. The method of claim 5, wherein the method further comprises:

determining, for the first user, a display form of the second user in the virtual environment according to the user matching degree,

wherein the lower the user match, the more differentiated the second user is made to display compared to the first user.

8. The method of claim 1, wherein the method further comprises:

according to the attention object of the first user in the virtual environment, recommending an actual environment capable of providing services related to the attention object to the first user.

9. The method of claim 8, wherein,

in a case where the first user has a plurality of attention objects in the virtual environment, an actual environment that can provide a service related to at least one of the plurality of attention objects is set as a candidate actual environment, and an actual environment that can provide the largest number of attention objects of the candidate actual environment is preferentially recommended to the first user.

10. An apparatus for social recommendation in a virtual environment, comprising:

a memory having instructions stored thereon; and

a processor configured to execute instructions stored on the memory to:

11. The apparatus of claim 10, wherein the object of interest is at least one of:

one or more virtual items in the virtual environment;

one or more detail portions of a virtual item in the virtual environment; and

one or more services provided in the virtual environment.

12. The apparatus of claim 10, wherein the processor is further configured to execute instructions stored on the memory to:

determining a period of experience of the first user and the second user in the virtual environment;

and recommending the second user to the first user in response to the participation time matching degree exceeding a preset participation time matching degree threshold value.

13. The apparatus of claim 12, wherein the degree of match of the engagement time of the first user with the second user relates to a degree of overlap of the first user's experience time period and the second user's experience time period, or to a length of an interval between the first user's experience time period and the second user's experience time period, or to a number of times the first user experiences the virtual environment within a predetermined time period and a number of times the second user experiences the virtual environment within the predetermined time period.

14. The apparatus of claim 12, wherein the processor is further configured to execute instructions stored on the memory to:

15. The apparatus of claim 14, wherein determining a user match of the first user with the second user based on the object of interest match of the first user with the second user and the engagement time match comprises:

16. The apparatus of claim 14, wherein the processor is further configured to execute instructions stored on the memory to:

17. The apparatus of claim 10, wherein the processor is further configured to execute instructions stored on the memory to:

according to the attention object of the first user in the virtual environment, recommending an actual environment capable of providing the service related to the attention object to the first user.

18. The apparatus of claim 17, wherein,

19. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, causes the processor to carry out the method according to any one of claims 1 to 9.