CN110874435A

CN110874435A - Recommendation method, cloud server, service server, terminal and storage medium

Info

Publication number: CN110874435A
Application number: CN201811015064.3A
Authority: CN
Inventors: 朱俊敏
Original assignee: Nubia Technology Co Ltd
Current assignee: Nubia Technology Co Ltd
Priority date: 2018-08-31
Filing date: 2018-08-31
Publication date: 2020-03-10

Abstract

The invention discloses a recommendation method, which comprises the steps of receiving data resources sent by user terminals, storing the data resources and user information corresponding to the user terminals sending the data resources in an associated manner, determining the data resources corresponding to the user information of the user terminals to be recommended according to the associated storage information of the data resources and the user information when receiving the user information of the user terminals to be recommended sent by a service server, sending preference information of the user terminals to be recommended to the service server according to the determined data resources, so that the service server can recommend the data resources to the user terminals to be recommended according to the preference information, and also discloses a cloud server, the service server, the terminal and a storage medium, wherein by implementing the scheme, the data resources can be recommended to the corresponding user terminals based on the previously received and stored data resources sent by the user terminals, the accuracy of the recommendation result can be relatively improved.

Description

Recommendation method, cloud server, service server, terminal and storage medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a recommendation method, a cloud server, a service server, a terminal, and a storage medium.

Background

With the continuous development of networks, personalized recommendation of data resources is more and more common, so-called data resource recommendation refers to recommending some data resources to a user when the user browses the data resources at a client, and only some data resources which accord with the favorite preference of the user are recommended to the user when the data resource recommendation is performed, the user can be attracted more, and the popularization of the data resources is facilitated. Therefore, in the existing data resource popularization field, how to efficiently and accurately recommend data resources has great significance.

The currently common data resource recommendation method is to recommend data resources through data resources browsed by a user in the past, and because the data resources browsed by the user have certain randomness, the analysis of the preference degree of the user is not accurate enough, the data resources recommended to the user do not accord with the preference of the user, and the user experience is poor.

Disclosure of Invention

The technical problem to be solved by the invention is that the existing commonly used data resource recommendation method is based on data resources browsed by a user in the past to recommend the data resources, so that the analysis of the preference degree of the user is not accurate enough, and the accurate data resources cannot be recommended to the user.

In order to solve the above technical problem, the present invention provides a recommendation method, including:

receiving data resources sent by each user terminal, and storing each data resource and user information corresponding to each user terminal sending each data resource in a correlation manner;

when user information of a user terminal to be recommended sent by a service server is received, determining data resources corresponding to the user information of the user terminal to be recommended according to the associated storage information of each data resource and each user information;

and sending preference information of the user terminal to be recommended to the service server according to the determined data resources, so that the service server can recommend the data resources to the user terminal to be recommended according to the preference information.

Optionally, the sending, to the service server, the preference information of the user terminal to be recommended according to the determined data resource includes:

aiming at the data resources corresponding to the user terminal to be recommended, calculating the preference degree of the user terminal to be recommended to each category of data resources in the data resources;

and sending the preference information of the user terminal to be recommended to the service server according to the calculation result.

Optionally, the associating and storing each data resource and the user information corresponding to each user terminal that sends each data resource includes:

classifying the data resources corresponding to the user information according to the characteristic information of the data resources;

and storing the data resources subjected to classification processing and corresponding user information in an associated manner.

Optionally, the sending, to the service server according to the calculation result, the preference information of the user terminal to be recommended includes:

sending the calculated preference degree of the user terminal to be recommended to each category of data resources and the corresponding category information to the service server;

or the like, or, alternatively,

and sending the category information corresponding to the data resource with the highest preference degree obtained by calculation to the service server.

Further, the present invention also provides a recommendation method, including:

when the current condition of meeting the preset recommendation condition is determined, acquiring user information of a user terminal to be recommended;

sending the user information to a cloud server, so that the cloud server determines data resources corresponding to the user information of the recommended user terminal according to the user information and pre-stored associated storage information of each data resource and each user information, and determines preference information of the user terminal to be recommended according to the data resources;

receiving preference information of the user terminal to be recommended, which is sent by the cloud server;

and recommending data resources to the user terminal to be recommended according to the preference information.

sending data resources to a cloud server, so that the cloud server stores the data resources and user information of a user terminal sending the data resources in an associated manner;

receiving data resources recommended by a service server according to preference information sent by the cloud server, wherein the preference information is information obtained by the cloud server according to data resources corresponding to the user information, and the data resources corresponding to the user information are resources determined by the cloud server according to the user information obtained and sent by the service server and associated storage information of each pre-stored data resource and each user information.

Further, the present invention also provides a cloud server, including: the system comprises a first processor, a first memory and a first communication bus;

the first communication bus is used for realizing connection communication between the first processor and the first memory;

the first processor is used for executing one or more first programs stored in the first memory so as to realize the steps of any one of the recommendation methods applied to the cloud server side.

Further, the present invention also provides a service server, including: the second processor, the second memory and the second communication bus;

the second communication bus is used for realizing connection communication between the second processor and the second memory;

the second processor is configured to execute one or more second programs stored in the second memory to implement the steps of the recommendation method applied to the service server side.

Further, the present invention also provides a terminal, including: a third processor, a third memory, and a third communication bus;

the third communication bus is used for realizing connection communication between the third processor and the third memory;

the third processor is configured to execute one or more third programs stored in the third memory to implement the steps of the recommendation method applied to the terminal side.

Further, the present invention also provides a storage medium storing one or more programs executable by one or more processors to implement the steps of the recommendation method as any one of the above.

Advantageous effects

The invention provides a recommendation method, a cloud server, a service server, terminals and a storage medium, which are characterized in that data resources sent by user terminals are received, the data resources are stored in association with user information corresponding to the user terminals sending the data resources, when the user information of the user terminals to be recommended sent by the service server is received, the data resources corresponding to the user information of the user terminals to be recommended are determined according to the associated storage information of the data resources and the user information, preference information of the user terminals to be recommended is sent to the service server according to the determined data resources, so that the service server can recommend the data resources to the user terminals to be recommended according to the preference information, and by the scheme provided by the invention, the data resources can be recommended to the corresponding user terminals based on the previously sent data resources of the user terminals which are received and stored in advance, the accuracy of the recommendation result can be relatively improved, and the satisfaction degree of user experience is improved.

Drawings

The invention will be further described with reference to the accompanying drawings and examples, in which:

fig. 1 is a schematic diagram of a hardware structure of an alternative mobile terminal for implementing various embodiments of the present invention;

FIG. 2 is a diagram of a wireless communication system for the mobile terminal shown in FIG. 1;

fig. 3 is a basic flowchart of a recommendation method according to a first embodiment of the present invention;

fig. 4 is a schematic diagram of a detailed process for determining preference information according to a first embodiment of the present invention;

fig. 5 is a schematic view of a detailed process for classifying pictures according to a first embodiment of the present invention;

fig. 6 is a schematic structural diagram of a cloud server according to a first embodiment of the present invention;

FIG. 7 is a basic flowchart of a recommendation method according to a second embodiment of the present invention;

fig. 8 is a schematic structural diagram of a service server according to a second embodiment of the present invention;

fig. 9 is a schematic basic flowchart of a recommendation method according to a third embodiment of the present invention;

fig. 10 is a schematic structural diagram of a terminal according to a third embodiment of the present invention;

fig. 11 is a schematic basic flowchart of a recommendation method according to a fourth embodiment of the present invention;

fig. 12 is a schematic structural diagram of a recommendation system according to a fourth embodiment of the present invention.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.

The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.

The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex-Long Term Evolution), and TDD-LTE (Time Division duplex-Long Term Evolution).

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.

Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and charging functions Entity) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above mobile terminal hardware structure and communication network system, the present invention provides various embodiments of the method.

First embodiment

In order to solve the problem that the analysis of the preference degree of a user is not accurate enough and accurate data resources cannot be recommended to the user due to the fact that the data resources are recommended based on the data resources that the user browses in the past, the present embodiment provides a new recommendation method, which is applied to a cloud server, and specifically, please refer to fig. 3, where the method includes:

s301: and receiving the data resources sent by each user terminal, and storing each data resource and the user information corresponding to each user terminal sending each data resource in an associated manner.

The data resource in this embodiment includes, but is not limited to, at least one of a picture resource, a music resource, a video resource, and a text resource. The user information in this embodiment refers to information that can uniquely represent an identity of a certain user terminal, and may be login information, for example, when the user terminal logs in the cloud server according to a login name and a login password corresponding to the user terminal, the cloud server may store the data resource uploaded by the user terminal in a storage space corresponding to the login name, that is, store the data resource sent by the user terminal and the login information corresponding to the user terminal that sends the data resource in an associated manner, so that the cloud server stores a corresponding relationship between the user information of each user terminal and the corresponding data resource, for example, as shown in table one, where the table one shows a corresponding relationship between part of the user information of the user terminal stored in the cloud server and the corresponding data resource:

watch 1

User information	Login name A	Login name B	Login name C	Login name D	Login name F
						Data resources	Data resource a	Data resource b	Data resource c	Data resource d	Data resource f

For convenience of understanding, a process of the cloud server storing the login name a and the data resource a in an associated manner is described herein, and according to the contents shown in table one, after the cloud server receives the data resource a sent to the cloud server after a certain user terminal logs in the cloud server with the login name a, the cloud server stores the received data resource a in an associated manner with the login name a.

S302: and when receiving the user information of the user terminal to be recommended sent by the service server, determining the data resources corresponding to the user information of the user terminal to be recommended according to the associated storage information of each data resource and each user information.

After the user terminal to be recommended logs in the service server, if the service server determines that the preset recommendation condition is met currently, the user information of the user terminal to be recommended can be obtained, then the obtained user information is sent to the cloud server, and after the cloud server receives the user information sent by the service server, the data information corresponding to the user information of the user terminal to be recommended is determined according to the pre-stored association storage information of each data resource and each user information. Assuming that the user information received by the cloud server is the login name C, according to the table i, the cloud server may determine that the data resource corresponding to the user information of the user terminal to be recommended is the data resource C. It should be noted that the preset recommendation condition mentioned herein may be set by a developer at will, for example, after it is detected that the user terminal to be recommended selects the recommendation function of the service server, it may be determined that the preset recommendation condition is currently satisfied.

S303: and sending preference information of the user terminal to be recommended to the service server according to the determined data resources, so that the service server can recommend the data resources to the user terminal to be recommended according to the preference information.

In some embodiments, for step S303, the sub-steps as shown in fig. 4 may be included:

s41: and calculating the preference degree of the user terminal to be recommended to each category of data resources in the data resources aiming at the data resources corresponding to the user terminal to be recommended.

It should be noted that, in an example, for step S41, the method may include classifying the data resource corresponding to the determined user terminal to be recommended, and then calculating the preference of the user terminal to be recommended for each classified type of data resource. Of course, in another example, when storing corresponding data resources, the cloud server may classify and store the data resources corresponding to each user terminal, specifically, that is, for the data resources corresponding to each user information, classify each data resource according to feature information of each data resource, and store the classified data resources and the corresponding user information in association, where, taking the data resources as picture resources as an example, a process of the cloud server classifying picture resources received from a certain user terminal is described with reference to fig. 5, which includes:

s51: and receiving the picture resource sent by the user terminal.

S52: and identifying the picture resources to obtain the characteristic information of each picture resource.

S53: and classifying the picture resources according to the characteristic information.

For example, a picture resource may be classified as: people, landscape, gourmet, animals, etc.

According to the scheme that the data resources are classified when the data resources are stored through the cloud server, when the preference degree needs to be calculated, the preference degree of the user terminal to be recommended to each type of data resources in the corresponding data resources can be directly calculated, classification is not needed, classification processing is done in advance, the recommendation rate can be improved, and therefore the satisfaction degree of user experience is improved.

The description of the process of calculating the preference degree is continued by taking the picture resource as an example.

Assuming that the cloud server receives n pictures sent by the user terminal X, the cloud server classifies the n pictures to obtain m people, p scenery and q food, when the user terminal to be recommended is the user terminal X, the preference degree of the user terminal X for the pictures of the people is m/n, the preference degree of the user terminal X for the pictures of the scenery is p/n, and the preference degree of the user terminal X for the pictures of the food is q/n.

S42: and sending the preference information of the user terminal to be recommended to the service server according to the calculation result.

For step S42, in an example, the cloud server may send the calculated preference degree of the user terminal to be recommended to each category of data resources and the corresponding category information to the service server, and continue to explain based on the above example, the cloud server may send the information that the preference degree of the user terminal X to the "people" picture is m/n, the preference degree of the "landscape" picture is p/n, and the preference degree of the "food" picture is q/n "to the service server, so that the service server recommends the picture resources to the user terminal X, and if q is greater than p and less than m, it indicates that the preference degree of the user terminal X to the" people "picture is the highest, the service server may recommend the picture of the people type only to the user terminal X, or may recommend the picture of the people type to the user terminal X according to a proportional relationship of m/n, p/n, and q/n, A landscape type picture and a gourmet type picture. In another example, the cloud server may send the category information corresponding to the data resource with the highest preference obtained by calculation to the service server, so that the service server recommends the data resource belonging to the category information to the corresponding user terminal, and if q is less than p and less than m, the cloud server may send the information of the "person type picture" to the service server, so that the service server recommends the person type picture to the user terminal.

It should be noted that, in some other embodiments, the cloud server may further send all data resources stored by the cloud server and corresponding to the user terminal to be recommended to the service server together as preference information of the user terminal to be recommended, so that the service server analyzes the data resources preferred by the user terminal according to the data resources to perform recommendation, specifically, at this time, the service server may calculate a preference degree of the user terminal to be recommended for each type of data resources in the data resources, and perform recommendation of the data resources according to the calculated preference degree.

Referring to fig. 6, the present embodiment further provides a cloud server, including a first processor 601, a first memory 602, and a first communication bus 603, where the first communication bus 603 is used to implement connection communication between the first processor 601 and the first memory 602, and the first processor 601 is used to execute one or more first programs stored in the first memory 602, so as to implement the steps of any of the above-mentioned recommended methods.

According to the recommendation method and the cloud server provided by the embodiment, generally speaking, in order to avoid occupying too much local memory, a user at a user terminal side often uploads interested data resources to the cloud server for storage, so that when the user terminal is recommended, the accuracy of a recommendation result can be improved by recommending the data resources based on the data resources stored on the cloud server, and the recommendation result is more suitable for the requirements of the user.

Second embodiment

The embodiment also provides a recommendation method, applied to a service server, please refer to fig. 7, which includes:

s701: and when the current condition of meeting the preset recommendation condition is determined, acquiring the user information of the user terminal to be recommended.

The preset recommendation condition in step S701 may be set arbitrarily, for example, it may be determined that the user terminal to be recommended currently satisfies the preset recommendation condition when it is determined that the user terminal to be recommended logs in the service server, or it may be determined that the user terminal to be recommended currently satisfies the preset recommendation condition when a recommendation request sent by the user terminal to be recommended is received. It should be understood that the user information in this embodiment refers to information that can uniquely characterize the identity of a certain user terminal, and may be login information, such as a login name.

S702: and sending the user information to the cloud server.

The service server in this embodiment sends the acquired user information to the cloud server, so that the cloud server determines, according to the user information and the pre-stored associated storage information of each data resource and each user information, a data resource corresponding to the user information of the recommended user terminal, and determines, according to the data resource, preference information of the user terminal to be recommended.

It should be noted that the data resources pre-stored in the cloud server may be uploaded by each user terminal, the cloud server may perform associated storage on the data resources and the user information of the corresponding user terminal, and the process of performing associated storage on the data resources and the user information by the cloud server may refer to the contents in the first embodiment, which is not described herein again. The data resource in this embodiment includes, but is not limited to, at least one of a picture resource, a music resource, a video resource, and a text resource.

S703: and receiving preference information of the user terminal to be recommended, which is sent by the cloud server.

In some embodiments, the cloud server may classify the data resources corresponding to the user terminal to be recommended when the preference information of the user terminal to be recommended needs to be determined, and then calculate the preference of the user terminal to be recommended for each classified type of data resources. Certainly, in another embodiment, the cloud server may perform classified storage on the data resources corresponding to each user terminal when storing the corresponding data resources, specifically, that is, classify each data resource according to the feature information of each data resource, and perform associated storage on the classified data resources and the corresponding user information, so that when the preference degree needs to be calculated, the preference degree of the user terminal to be recommended on each type of data resources in the corresponding data resources may be directly calculated, no classification is needed, classification processing is performed in advance, the recommendation rate may be increased, and thus the satisfaction degree of user experience is increased.

S704: and recommending the data resources to the user terminal to be recommended according to the preference information.

Specifically, the data resource is taken as a picture resource for example to be described specifically, assuming that the cloud server receives n pictures sent by the user terminal X, and the cloud server classifies the n pictures to obtain m people, p scenery and q food, when the user terminal to be recommended is the user terminal X, the cloud server can calculate that the preference degree of the user terminal X to be recommended to the "people" picture is m/n, the preference degree of the "scenery" picture is p/n, and the preference degree of the "food" picture is q/n. In an example, the preference information received by the service server may include a preference degree of the corresponding user terminal for each category of data resources in the corresponding data resources and a category of the corresponding data resources, that is, the preference information received by the service server may include information that a preference degree of the user terminal X for a "people" picture is m/n, a preference degree of a "landscape" picture is p/n, and a preference degree of a "food" picture is q/n A landscape type picture and a gourmet type picture. In another example, the preference information received by the service server may only include category information corresponding to the data resource with the highest preference, and then the service server recommends the data resource belonging to the category to the corresponding user terminal.

It should be noted that, in some other embodiments, the cloud server may not analyze the data resources, at this time, the cloud server may send all the data resources corresponding to a certain user terminal to be recommended to the service server as the preference information of the user terminal to be recommended, and the service server analyzes the data resources preferred by the user terminal to be recommended according to the data resources to perform recommendation.

Referring to fig. 8, the present embodiment further provides a service server, including a second processor 801, a second memory 802, and a second communication bus 803, where the second communication bus 803 is used to implement connection communication between the second processor 801 and the second memory 802, and the second processor 802 is used to execute one or more second programs stored in the second memory 802 to implement the steps of any of the above-mentioned recommended methods in this embodiment.

According to the recommendation method and the service server provided by the embodiment, generally speaking, in order to avoid occupying too much local memory, a user at the user terminal side often uploads interested data resources to the cloud server for storage, so that when the user terminal is recommended with the data resources, the accuracy of a recommendation result can be improved by recommending the data resources based on the data resources stored on the cloud server, and the recommendation result is more suitable for the requirements of the user.

Third embodiment

The present embodiment provides a recommendation method applied to a terminal, please refer to fig. 9, which includes:

s901: and sending the data resources to a cloud server so that the cloud server can store the data resources and the user information of the user terminal sending the data resources in an associated manner.

The data resource in this embodiment includes, but is not limited to, at least one of a picture resource, a music resource, a video resource, and a text resource. The user information in this embodiment refers to information that can uniquely represent an identity of a certain user terminal, and may be login information, for example, when the user terminal can log in a cloud server according to a login name and a login password corresponding to the user terminal, and then upload a data resource to the cloud server, the cloud server can store the data resource uploaded by the user terminal into a storage space corresponding to the login name, that is, store the data resource sent by the user terminal and the login information corresponding to the user terminal that sends the data resource in an associated manner, so that the cloud server stores a corresponding relationship between the user information of each user terminal and the corresponding data resource.

S902: and receiving data resources recommended by the service server according to the preference information sent by the cloud server.

The preference information in step S902 is information obtained by the cloud server according to the data resource corresponding to the user information, where the data resource corresponding to the user information is a resource determined by the cloud server according to the user information obtained and sent by the service server and the pre-stored association storage information of each data resource and each user information.

It should be noted that, the terminal in this embodiment, as a user terminal to be recommended, may send a recommendation request to a service server, where the recommendation request may include user information corresponding to the terminal, and of course, the user terminal to be recommended in this embodiment may also send the recommendation request and the user information to the service server, and after receiving the recommendation request and obtaining the user information, the service server may send the user information to a cloud server. It should be noted that, in some embodiments, the user terminal to be recommended may not send a recommendation request to the service server, and the service server may automatically obtain the user information corresponding to the terminal after detecting that the terminal logs in the service server, and then send the user information to the cloud server. After receiving the user information sent by the service server, the cloud server can determine the data resources corresponding to the user terminal to be recommended according to the pre-stored corresponding relationship between the user information and the data resources, determine the preference information of the user terminal to be recommended according to the data resources, and then send the preference information to the service server, so that the service server can send the recommended data resources to the user terminal to be recommended according to the preference information, and after receiving the recommended data resources sent by the service server, the user terminal to be recommended can display the recommended data resources for the user to select.

Specifically, the data resource is taken as a picture resource for example to be described specifically, assuming that the cloud server receives n pictures sent by the user terminal X, and the cloud server classifies the n pictures to obtain m people, p scenery and q food, when the user terminal to be recommended is the user terminal X, the cloud server can calculate that the preference degree of the user terminal X to be recommended to the "people" picture is m/n, the preference degree of the "scenery" picture is p/n, and the preference degree of the "food" picture is q/n. In an example, the preference information received by the service server may include a preference degree of the corresponding user terminal for each category of data resources in the corresponding data resources and a category of the corresponding data resources, that is, the preference information received by the service server may include information that a preference degree of the user terminal X for a "people" picture is m/n, a preference degree of a "landscape" picture is p/n, and a preference degree of a "food" picture is q/n, and after receiving the preference information, the service server may recommend a picture to the user terminal X based on the preference information, for example, a picture type corresponding to a highest preference degree may be sent to the user terminal X as a recommended picture, or a picture of a people type may be sent to the user terminal X according to a proportional relationship of m/n, p/n, and q/n, A landscape type picture and a gourmet type picture. In another example, the preference information received by the service server may only include category information corresponding to the data resource with the highest preference, and then the service server sends the data resource belonging to the category to the corresponding user terminal.

It should be noted that, in some other embodiments, the cloud server may not analyze the data resources, at this time, the cloud server may send all the data resources corresponding to a certain user terminal to be recommended as preference information of the user terminal to be recommended to the service server, and the service server analyzes the data resources preferred by the user terminal to be recommended according to the data resources to perform recommendation.

The present embodiment further provides a terminal, please refer to fig. 10, which includes a third processor, a third memory and a third communication bus, where the third communication bus is used to implement connection communication between the third processor and the third memory, and the third processor is used to execute one or more third programs stored in the third memory, so as to implement the steps of any one of the recommended methods in this embodiment.

Fourth embodiment

In order to better understand the solution provided by the present invention, the present embodiment provides a more specific recommendation method, and the present embodiment specifically describes the case of taking data resources as picture resources, please refer to fig. 11, which includes:

s1101: and the user terminal sends the local picture resource to the cloud server.

Specifically, the user terminal may automatically send the picture resource of the local or network to the cloud server for backup or according to the selection of the user. For example, the user terminal may upload the picture resources of the local album to the cloud server for backup at intervals of a preset time period.

S1102: and the cloud server classifies the received picture resources and stores the data resources of each category and the user information of the corresponding user terminal in an associated manner.

Specifically, the cloud server may identify the picture, identify feature information of the picture, and then classify the picture according to a preset category, and it should be noted that the user information in this embodiment may be login information.

It should be noted that, S1101-S1102 are not required to be executed in each recommendation process, and S1101-S1102 in this embodiment only illustrate that the corresponding relationship between each data resource and the user information of the user terminal is necessarily stored in advance on the cloud server before each recommendation.

S1103: and the service server receives a recommendation request sent by the user terminal.

The recommendation request in step S1103 includes login information of the user terminal, and the user terminal may send the recommendation request to the service server after logging in the service server.

S1104: and the service server sends the login information of the user terminal to the cloud server.

S1105: and the cloud server determines picture resources corresponding to the login information according to the received login information, and determines the preference information of the user terminal according to the picture resources.

S1106: and the service server receives the preference information sent by the cloud server and recommends the picture resources to the user terminal according to the preference information.

The user terminal can display the picture resource recommended by the service server after receiving the picture resource for the user to select.

The embodiment also provides a recommendation system, please refer to fig. 12, which includes a user terminal 1201, a cloud server 1202, and a service server 1203, where the user terminal 1201 is configured to send a data resource to the cloud server 1202, so that the cloud server 1202 associates and stores the data resource with user information of the user terminal 1201 that sends the data resource, the user terminal 1201 is further configured to receive a data resource recommended by the service server 1203 according to preference information sent by the cloud server 1202, the cloud server 1202 is configured to receive the data resource sent by the user terminal 1201, and associate and store each data resource and user information corresponding to each user terminal 1201 that sends each data resource, and is configured to determine, when receiving the user information of the user terminal 1201 to be recommended sent by the service server 1203, a data resource corresponding to the user information of the user terminal 1201 to be recommended according to the associated and stored information of each data resource and each user information, and is configured to send, according to the determined data resource, preference information of the user terminal 1201 to be recommended to the service server 1203, so that the service server 1203 recommends the data resource to the user terminal 1201 to be recommended according to the preference information, where the service server 1203 in this embodiment is configured to, when it is determined that a preset recommendation condition is currently met, obtain user information of the user terminal 1201 to be recommended, send the user information to the cloud server 1202, receive the preference information of the user terminal 1201 to be recommended sent by the cloud server 1202, and recommend the data resource to the user terminal 1201 to be recommended according to the preference information.

According to the recommendation method and the recommendation system provided by the embodiment, generally speaking, in order to avoid occupying too much local memory, a user at the user terminal side often uploads favorite data resources to the cloud server for storage, so that when the user terminal is recommended for the data resources, the accuracy of a recommendation result can be improved by recommending the data resources based on the data resources stored on the cloud server, the recommendation result is more suitable for the requirements of the user, in addition, the cloud server can also analyze the preference of the user terminal to be recommended based on the stored data resources corresponding to the user terminal to be recommended, so that the workload of a service server can be reduced, and the processing speed is increased.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A recommendation method, comprising:

2. The recommendation method according to claim 1, wherein the sending the preference information of the user terminal to be recommended to the service server according to the determined data resource comprises:

3. The recommendation method of claim 2, wherein the associating and storing each of the data resources with the user information corresponding to each of the user terminals transmitting each of the data resources comprises:

4. The recommendation method according to claim 2 or 3, wherein the sending the preference information of the user terminal to be recommended to the service server according to the calculation result comprises:

or the like, or, alternatively,

5. A recommendation method, comprising:

6. A recommendation method, comprising:

7. A cloud server, comprising: the system comprises a first processor, a first memory and a first communication bus;

the first processor is configured to execute one or more first programs stored in the first memory to implement the steps of the recommended method according to any one of claims 1-4.

8. A traffic server, comprising: the second processor, the second memory and the second communication bus;

the second processor is adapted to execute one or more second programs stored in the second memory to implement the steps of the recommended method of claim 5.

9. A terminal, comprising: a third processor, a third memory, and a third communication bus;

the third processor is adapted to execute one or more third programs stored in the third memory to implement the steps of the recommended method of claim 6.

10. A storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the recommendation method as claimed in any one of claims 1-6.