CN109903107A - Method and apparatus for generating information - Google Patents

Abstract

The embodiment of the present application discloses the method and apparatus for generating information.One specific embodiment of this method includes: the authority credentials for obtaining target user；At least one applicable first object to be recommended of the voucher that defines the competence, and generate the first object information set to be recommended, wherein the first object information to be recommended includes identification information；Determine the intersection of sets collection for the identification information that the set for the identification information that the first object information set to be recommended includes includes with the second object information set to be recommended, wherein, the second object information to be recommended is the information of the object to be recommended determined based on the history information of target user；In response to determining that intersection is nonvoid set, the corresponding candidate of intersection object information set to be recommended is determined；Based on candidate object information set to be recommended and authority credentials, recommendation information is generated.This embodiment improves the specific aims of recommendation information.

Description

Method and apparatus for generating information

technical field

The embodiments of the present application relate to the field of computer technologies, in particular to the field of Internet technologies, and in particular, to methods and apparatuses for generating information.

Background technique

With the rapid development of Internet technology and the increasing popularization of terminal devices, people can get what they need without leaving home through the Internet. In the prior art, most of the recommendation information pushed to the user is generated by analyzing the user's purchasing behavior and the characteristics of the product, so as to facilitate the user to find the item of interest to the user.

SUMMARY OF THE INVENTION

The embodiments of the present application propose methods and apparatuses for generating information.

In a first aspect, an embodiment of the present application provides a method for generating information, the method includes: obtaining a target user's authority credential; determining at least one first object to be recommended to which the authority credential is applicable, and generating the first object to be recommended an information set, where the first object information to be recommended includes identification information; determine the intersection of the identification information set included in the first object information set to be recommended and the identification information set included in the second object information set to be recommended, wherein the second The information of the object to be recommended is the information of the object to be recommended determined based on the historical record information of the target user; in response to determining that the intersection is a non-empty set, the information set of the candidate to be recommended corresponding to the intersection is determined; based on the information set of the candidate to be recommended object and the authority credential , to generate recommendation information.

In some embodiments, determining the candidate object to be recommended information set corresponding to the intersection includes: for each identification information in the intersection set, determining the first object to be recommended information and/or the second object to be recommended information corresponding to the identification information is the information of the candidate object to be recommended; the determined information of each candidate object to be recommended is determined as the information set of the candidate object to be recommended.

In some embodiments, after determining the intersection of the set of identification information included in the first set of object information to be recommended and the set of identification information included in the second set of object information to be recommended, the method further includes: in response to determining that the intersection is empty set, and the first object information set to be recommended is determined as a candidate object information set to be recommended.

In some embodiments, the identification information is SKU (Stock Keeping Unit, a basic unit for measuring stock in and out) information.

In some embodiments, the second to-be-recommended object information is determined in advance by the following steps: using a recommendation algorithm to determine the second to-be-recommended object information based on the to-be-recommended object information corresponding to the historical record information, where the recommendation algorithm includes at least one of the following : Association rule algorithm, similarity algorithm, collaborative filtering algorithm.

In a second aspect, an embodiment of the present application provides an apparatus for generating information, the apparatus includes: an obtaining unit, configured to obtain the authority credential of a target user; and a first determining unit, configured to determine at least the authority credential applicable to the A first to-be-recommended object, and a first to-be-recommended object information set is generated, wherein the first to-be-recommended object information includes identification information; a second determining unit is configured to determine the identification information contained in the first to-be-recommended object information set. The intersection of the set and the set of identification information contained in the second object information set to be recommended, wherein the second object information to be recommended is the information of the object to be recommended determined based on the historical record information of the target user; the third determining unit is configured to In response to determining that the intersection is a non-empty set, determine the candidate object to be recommended information set corresponding to the intersection; the generating unit is configured to generate recommendation information based on the candidate object to be recommended information set and the authority credential.

In some embodiments, the third determining unit includes: a first determining module configured to, for each identification information in the intersection set, determine the first object to be recommended information and/or the second object information to be recommended corresponding to the identification information It is determined as candidate object to be recommended information; the second determination module is configured to determine each determined candidate object to be recommended object information as a candidate object to be recommended information set.

In some embodiments, the apparatus further includes: a fourth determining unit, configured to, in response to determining that the intersection set is an empty set, determine the first object information set to be recommended as a candidate object information set to be recommended.

In some embodiments, the identification information is SKU information.

In some embodiments, the apparatus further includes: a fifth determination unit, configured to use a recommendation algorithm to determine the second object to be recommended information based on the information of the object to be recommended corresponding to the historical record information, wherein the recommendation algorithm includes at least one of the following Types: Association Rule Algorithm, Similarity Algorithm, Collaborative Filtering Algorithm.

In a third aspect, an embodiment of the present application provides a server, which includes: one or more processors; a storage device for storing one or more programs; Execution causes one or more processors to implement a method as described in any implementation of the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the method described in any implementation manner of the first aspect.

The method and device for generating information provided by the embodiments of the present application firstly obtain the authority credential of the target user, then determine the first object to be recommended to which the authority credential is applicable, generate the first object to be recommended information set, and then determine the first object to be recommended. The intersection of the set of identification information contained in the object information set to be recommended and the set of identification information contained in the second set of object information to be recommended, and finally determine the information set of candidate objects to be recommended corresponding to the intersection, based on the set of candidate object information to be recommended and the authority credential Generate recommendation information. Improve the pertinence of recommended information.

Description of drawings

Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

FIG. 1 is an exemplary system architecture diagram to which the present application can be applied;

Figure 2 is a flowchart of one embodiment of a method for generating information according to the present application;

3 is a schematic diagram of an application scenario of the method for generating information according to the present application;

4 is a schematic structural diagram of an embodiment of an apparatus for generating information according to the present application;

FIG. 5 is a schematic structural diagram of a computer system suitable for implementing the server of the embodiment of the present application.

Detailed ways

The present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the related invention, but not to limit the invention. In addition, it should be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict. The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

FIG. 1 illustrates an exemplary system architecture 100 to which embodiments of a method for generating information or an apparatus for generating information of the present application may be applied.

As shown in FIG. 1 , the system architecture 100 may include terminal devices 101 , 102 , and 103 , a network 104 and a server 105 . The network 104 is a medium used to provide a communication link between the terminal devices 101 , 102 , 103 and the server 105 . The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user can use the terminal devices 101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages and the like. Various communication client applications may be installed on the terminal devices 101 , 102 and 103 , such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, and the like.

The terminal devices 101, 102, and 103 may be various electronic devices that have a display screen and support web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, moving image Expert Compression Standard Audio Layer 3), MP4 (Moving PictureExperts Group Audio Layer IV, Moving Picture Experts Group Audio Layer 4) Players, Laptops and Desktops, etc.

The server 105 may be a server that provides various services, for example, a background recommendation information generation server that provides support for the recommendation information displayed on the terminal devices 101 , 102 , and 103 . The background recommendation information generation server may analyze and process the acquired information of the object to be recommended, authority credentials and other information, and feed back the processing result (for example, recommendation information) to the terminal device.

It should be noted that the method for generating information provided by the embodiments of the present application is generally executed by the server 105 , and accordingly, the apparatus for generating information is generally set in the server 105 .

It should be understood that the numbers of terminal devices, networks and servers in FIG. 1 are merely illustrative. There can be any number of terminal devices, networks and servers according to implementation needs.

With continued reference to FIG. 2, a flow 200 of one embodiment of a method for generating information according to the present application is shown. The method for generating information includes the following steps:

In step 201, the authorization credentials of the target user are obtained.

In this embodiment, the electronic device (for example, the server shown in FIG. 1 ) on which the method for generating information runs may obtain the target user's authority credential from a local or other electronic device through a wired connection or a wireless connection . The above-mentioned target user may be a predetermined user with authority credentials, and the target user can receive the information sent by the above-mentioned electronic device by using the terminal device as shown in FIG. 1 . The above-mentioned authority credential may be a credential (for example, a usage credential, etc.) used to prove a certain authority possessed by the target user. The above-mentioned electronic device may be a server that provides various services for users who issue authority credentials (eg, online store websites) and the above-mentioned target users, and it may refer to a server or a server cluster.

Step 202: Determine at least one first object to be recommended to which the authority credential is applicable, and generate a first object to be recommended information set.

In this embodiment, the above-mentioned electronic device may determine the first object to be recommended based on the authority credential of the target user obtained in step 201 . The above-mentioned first object to be recommended may be an item to which the target user's authorization certificate can be applied. The number of the first object to be recommended may be one or more. Furthermore, the above electronic device may generate a first object to be recommended information set based on the determined first object to be recommended. The above-mentioned first to-be-recommended object information may be information (eg, identification information, category information, etc.) representing a certain attribute of an item to which the authority credential is applicable. Wherein, the above-mentioned first object to be recommended information may include identification information. The above-mentioned identification information may be information for distinguishing objects to be recommended, such as information in the form of a two-dimensional code, a barcode, and the like.

In some optional implementation manners of this embodiment, the foregoing identification information may be SKU information. Different SKUs differ in at least one attribute such as brand, model, configuration, grade, color, packaging capacity, unit, use, price, and origin. The SKU information is used to identify the above-mentioned SKUs with differences.

Step 203: Determine the intersection of the set of identification information included in the first set of object information to be recommended and the set of identification information included in the second set of object information to be recommended.

In this embodiment, based on the first object information set to be recommended generated in step 202, the electronic device may determine the difference between the set of identification information included in the first object information set to be recommended and the identification information included in the second object information set to be recommended The intersection of sets. For example, when the identification information is SKU information, assuming that the set of identification information contained in the first set of object information to be recommended is SKU information set A, and the set of identification information contained in the second set of object information to be recommended is SKU information set B, then The above intersection is the intersection of SKU information set A and SKU information set B.

Wherein, the above-mentioned second to-be-recommended object information may be determined based on an existing recommendation algorithm. The above-mentioned existing recommendation algorithms are generally algorithms for achieving recommendation purposes based on user history records (eg, historical browsing record information, historical usage record information, etc.) or user portraits and other information.

In some optional implementations of this embodiment, the above-mentioned second to-be-recommended object information may be determined in advance through the following steps: the above-mentioned electronic device uses a recommendation algorithm to determine the second to-be-recommended object information based on the historical record information corresponding to the to-be-recommended object information object information. Wherein, the object information to be recommended corresponding to the historical record information may be object information recorded in response to a preset operation (eg, browsing operation, purchase operation, use operation, etc.) of the target user. The above recommendation algorithm may include at least one of the following: an association rule algorithm, a similarity algorithm, a collaborative filtering algorithm, and the like. It should be noted that the above-mentioned various recommendation algorithms are well-known technologies that are widely researched and applied at present, and will not be repeated here.

Step 204 , in response to determining that the intersection is a non-empty set, determine a candidate object to be recommended information set corresponding to the intersection.

In this embodiment, the electronic device may, in response to determining that the intersection is a non-empty set, determine a set of candidate to-be-recommended object information corresponding to the intersection. Wherein, the set of candidate object information to be recommended corresponding to the intersection set refers to the set of object information to be recommended corresponding to each identification information included in the intersection set.

In some optional implementations of this embodiment, for each identification information in the intersection set, the electronic device may determine the first object to be recommended information and/or the second object information to be recommended corresponding to the identification information as candidates information of the object to be recommended; further determining the determined information of each candidate object to be recommended as a set of candidate object information to be recommended.

As an example, it is assumed that the first object information set to be recommended contains information on bulk items X (for example, the place of shipment information), the second object information set to be recommended contains information about bagged items X, and the intersection set contains the identification information of item X, then The information set of candidate objects to be recommended may include bagged item X information or bulk item X information, or both.

In some optional implementations of this embodiment, after step 203, the electronic device may further determine the first object information set to be recommended as a candidate object information set to be recommended in response to determining that the intersection is an empty set. Continue to refer to the example in the aforementioned step 203, if the intersection of SKU information set A and SKU information set B is an empty set, indicating that there is no identical SKU information between the two sets, the above-mentioned electronic device can use the target user's permission credential to apply the item information. The set is used as a set of candidate object information to be recommended.

Step 205 , generating recommendation information based on the information set of the candidate object to be recommended and the authority credential.

In this embodiment, the above-mentioned electronic device may generate recommendation information based on the information set of the candidate to be recommended object determined in step 204 and the above-mentioned authority credential. The above-mentioned electronic device may determine, from the information set of candidate objects to be recommended, the information of candidate objects to be recommended that satisfies a preset condition as target recommendation object information, and generate recommendation information. The above-mentioned candidate object to be recommended information may include various attribute information (for example, numerical information, address information, etc.), and the above-mentioned preset condition may be that the attribute information included in the candidate to-be-recommended object information meets a preset range. The above-mentioned recommendation information may include authority credentials, and may also include use effect information (such as the actual price of the target recommended object, shipping address, etc.) determined by combining the information of the target object to be recommended with the authority credential.

In some optional implementations of this embodiment, the above-mentioned object information to be recommended may include at least one of the following information: numerical information (eg, price), address information (eg, place of shipment), category information, and the like. The above preset conditions may include at least one of the following: the numerical value represented by the numerical information is within a preset numerical range, the geographic location represented by the address information is within the range of a preset geographical area, and the category of the object to be recommended represented by the category information conforms to the preset value. category, etc.

Continue to refer to FIG. 3 , which is a schematic diagram of an application scenario of the method for generating information according to this embodiment. As shown in FIG. 3 , the smartphone 302 is installed with an application that provides services to the user for the authority certificate issuer (eg, an online store website). A user who logs into the application using the aforementioned smartphone has a shopping authorization credential 303 . In this way, the server 301 can obtain the above-mentioned permission certificate, then determine the first item to which the permission certificate is applicable, and generate the first item information set 305, and then obtain the second item information set 306 browsed by the user, and then determine the first item information The intersection of the set of SKU information contained in the set 305 and the set of SKU information contained in the second item information set 306, that is, the SKU information set 304 shown in FIG. For the corresponding candidate item information set in the second item information set 306, three pieces of recommendation information are generated based on the candidate item information set and the authority certificate. Among them, the preset conditions met by the three recommendation information are different. For example, the preset conditions met by the recommendation information 1 are the sum of the prices of the item 1 and item 2 after the use authorization certificate and the item 1 and the item before the use authorization certificate. The ratio of the price of 2 is the largest; the preset condition that the recommendation information 2 meets is that the shipping addresses of item 3 and item 4 are both within the preset geographical area, and the preset condition that the recommendation information 3 meets is the category of item 5 and item 6 All conform to a preset category (eg, Toiletries). The above-mentioned item 1 to item 6 are all items represented by the candidate item information corresponding to the above-mentioned SKU information set 304. The above-mentioned server 301 can push the above-mentioned three recommendation information to the smartphone 302, so that the smartphone 302 displays the three recommendations information.

The method provided by the above-mentioned embodiments of the present application firstly obtains the authority credential of the target user, then determines the first object to be recommended to which the authority credential is applicable, generates the first information set of the object to be recommended, and then determines the first information set of the object to be recommended The intersection of the set of identification information contained and the set of identification information contained in the second set of object information to be recommended is finally determined. The methods provided by the above embodiments of the present application improve the pertinence of generating recommendation information.

Referring further to FIG. 4 , as an implementation of the methods shown in the above figures, the present application provides an embodiment of an apparatus for generating information. The apparatus embodiment corresponds to the method embodiment shown in FIG. 2 . The device can be specifically applied to various electronic devices.

As shown in FIG. 4 , the apparatus 400 for generating information in this embodiment includes: an obtaining unit 401 configured to obtain the authority credential of a target user; and a first determining unit 402 configured to determine at least the right credential applicable to the target user. A first object to be recommended, and a first object information set to be recommended is generated, wherein the first object information to be recommended includes identification information; a second determining unit 403 is configured to determine the The intersection of the set of identification information and the set of identification information contained in the second set of object information to be recommended, wherein the second information of the object to be recommended is the information of the object to be recommended determined based on the historical record information of the target user; the third determination The unit 404 is configured to, in response to determining that the intersection is a non-empty set, determine the candidate object to be recommended information set corresponding to the intersection; the generating unit 405 is configured to, based on the candidate object to be recommended information set and the authority Credentials to generate recommendation information.

In this embodiment, the obtaining unit 401 may obtain the authority credential of the target user from a local or other electronic device through a wired connection or a wireless connection. The above-mentioned target user may be a preset user with authority credentials, and the target user can receive the information sent by the above-mentioned electronic device by using the terminal device as shown in FIG. 1 . Here, the above-mentioned authority credential may be a credential (eg, a usage credential) used to prove that the target user has a certain authority.

In this embodiment, the first determining unit 402 may determine the first object to be recommended based on the authority credential of the target user acquired by the acquiring unit 401 . The above-mentioned first object to be recommended may be an item to which the target user's authorization certificate can be applied. The number of the first object to be recommended may be one or more. Furthermore, the above-mentioned first determining unit 402 may generate a first object to be recommended information set based on the determined first object to be recommended. The above-mentioned first to-be-recommended object information may be information (eg, identification information, category information, etc.) representing a certain attribute of an item to which the authority credential is applicable. Wherein, the above-mentioned first object to be recommended information may include identification information. The above-mentioned identification information may be information for distinguishing objects to be recommended, such as information in the form of a two-dimensional code, a barcode, and the like.

In some optional implementation manners of this embodiment, the foregoing identification information may be SKU information.

In this embodiment, based on the first object information set to be recommended generated by the first determining unit 402, the second determining unit 403 may determine the set of identification information included in the first object information set to be recommended and the second object information set to be recommended The intersection of the sets that contain the identifying information.

Wherein, the above-mentioned second to-be-recommended object information may be determined based on an existing recommendation algorithm. The above-mentioned existing recommendation algorithms are generally algorithms for achieving recommendation purposes based on user history records (eg, historical browsing record information, historical usage record information, etc.) or user portraits and other information.

In some optional implementations of this embodiment, the apparatus 400 for generating information may further include: a fifth determining unit (not shown in the figure), configured to use a recommendation algorithm, based on the historical record information, corresponding The information of the object to be recommended is determined, and the second information of the object to be recommended is determined, wherein the recommendation algorithm may include at least one of the following: an association rule algorithm, a similarity algorithm, a collaborative filtering algorithm, and the like. It should be noted that the above-mentioned various recommendation algorithms are well-known technologies that are widely researched and applied at present, and will not be repeated here.

In this embodiment, the third determining unit 404 may determine, in response to determining that the above-mentioned intersection is a non-empty set, a set of candidate to-be-recommended object information corresponding to the intersection. Wherein, the set of candidate object information to be recommended corresponding to the intersection set refers to the set of object information to be recommended corresponding to each identification information included in the intersection set.

In some optional implementations of this embodiment, the third determining unit 404 may include: a first determining module (not shown in the figure) configured to, for each identification information in the intersection set, determine the identification The first object to be recommended information and/or the second object to be recommended information corresponding to the information is determined as candidate object information to be recommended; the second determination module (not shown in the figure) is configured to determine each candidate object to be recommended. The information is determined as a set of candidate to-be-recommended object information.

In some optional implementations of this embodiment, the apparatus 400 for generating information may further include: a fourth determining unit (not shown in the figure), configured to, in response to determining that the intersection is an empty set, determine The first to-be-recommended object information set is determined as a candidate to-be-recommended object information set.

In this embodiment, the generating unit 405 may generate the recommendation information based on the information set of the candidate to be recommended objects determined by the third determining unit 404 and the above-mentioned authority credential. The above-mentioned generating unit 405 may, from the information set of the candidate objects to be recommended, determine the information of the candidate objects to be recommended that satisfies the preset condition as the target recommendation object information, and generate recommendation information. The above-mentioned candidate object to be recommended information may include various attribute information (for example, numerical information, address information, etc.), and the above-mentioned preset condition may be that the attribute information included in the candidate to-be-recommended object information meets a preset range. The above-mentioned recommendation information may include authority credentials, and may also include use effect information (such as the actual price of the target recommended object, shipping address, etc.) determined by combining the information of the target object to be recommended with the authority credential.

In the device provided by the above-mentioned embodiment of the present application, the obtaining unit 401 first obtains the authority credential of the target user, and then the first determining unit 402 determines the first object to be recommended to which the authority credential is applicable, and generates the first object to be recommended information set, and then Then the second determining unit 403 determines the intersection of the set of identification information contained in the first set of object information to be recommended and the set of identification information contained in the second set of object information to be recommended, and finally the third determining unit 404 determines the candidate to be recommended corresponding to the intersection The object information set, which generates recommendation information based on the candidate object information set to be recommended and the authority credential. The apparatuses provided by the above embodiments of the present application improve the pertinence of generating recommendation information.

Referring next to FIG. 5 , it shows a schematic structural diagram of a computer system 500 suitable for implementing the electronic device of the embodiment of the present application. The electronic device shown in FIG. 5 is only an example, and should not impose any limitations on the functions and scope of use of the embodiments of the present application.

As shown in FIG. 5, a computer system 500 includes a central processing unit (CPU) 501 which can be loaded into a random access memory (RAM) 503 according to a program stored in a read only memory (ROM) 502 or a program from a storage section 508 Instead, various appropriate actions and processes are performed. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501 , the ROM 502 , and the RAM 503 are connected to each other through a bus 504 . An input/output (I/O) interface 505 is also connected to bus 504 .

The following components are connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc. ; and a communication section 509 including a network interface card such as a LAN card, a modem, and the like. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart. In such an embodiment, the computer program may be downloaded and installed from the network via the communication portion 509 and/or installed from the removable medium 511 . When the computer program is executed by the central processing unit (CPU) 501, the above-described functions defined in the method of the present application are performed. It should be noted that the computer-readable medium of the present application may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read only memory (EPROM or flash memory), fiber optics, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing. In this application, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted using any suitable medium including, but not limited to, wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logical functions for implementing the specified functions executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The units involved in the embodiments of the present application may be implemented in a software manner, and may also be implemented in a hardware manner. The described unit may also be provided in the processor, for example, it may be described as: a processor including an acquisition unit, a first determination unit, a second determination unit, a third determination unit and a generation unit. Wherein, the names of these units do not constitute a limitation on the unit itself under certain circumstances, for example, the obtaining unit may also be described as "a unit for obtaining the authorization credentials of the target user".

As another aspect, the present application also provides a computer-readable medium. The computer-readable medium may be included in the server described in the above embodiments, or may exist independently without being assembled into the server. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the server, the server: obtains the authority credential of the target user; determines at least one first object to be recommended to which the authority credential is applicable, and generating a first set of object information to be recommended, wherein the information of the first object to be recommended includes identification information; determining the set of identification information contained in the first set of object information to be recommended and the set of identification information contained in the second set of object information to be recommended , wherein the second object to be recommended information is the information of the object to be recommended determined based on the historical record information of the target user; in response to determining that the intersection is a non-empty set, determine the information set of candidate objects to be recommended corresponding to the intersection; Recommendation object information collection and authority credentials to generate recommendation information.

The above description is only a preferred embodiment of the present application and an illustration of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solution formed by the specific combination of the above technical features, and should also cover the above technical features or Other technical solutions formed by any combination of its equivalent features. For example, a technical solution is formed by replacing the above-mentioned features with the technical features disclosed in this application (but not limited to) with similar functions.

Claims (12)

1. A method for generating information comprising: Obtain the permission credentials of the target user; determining at least one first object to be recommended to which the authority credential is applicable, and generating a first object to be recommended information set, where the first object to be recommended information includes identification information; Determine the intersection of the set of identification information contained in the first set of object information to be recommended and the set of identification information contained in the second set of object information to be recommended, wherein the second information of the object to be recommended is based on the historical record of the target user The information of the object to be recommended determined by the information; In response to determining that the intersection is a non-empty set, determining an information set of candidate objects to be recommended corresponding to the intersection; Recommendation information is generated based on the candidate object information set to be recommended and the authority credential. 2. The method according to claim 1, wherein the determining the information set of candidate objects to be recommended corresponding to the intersection comprises: For each identification information in the intersection set, determine the first object to be recommended information and/or the second object information to be recommended corresponding to the identification information as candidate object information to be recommended; The determined information of each candidate object to be recommended is determined as a set of candidate object information to be recommended. 3. The method according to claim 1, wherein after said determining the intersection of the set of identification information contained in the first set of object information to be recommended and the set of identification information contained in the second set of object information to be recommended, The method also includes: In response to determining that the intersection is an empty set, the first set of object information to be recommended is determined as a set of candidate object information to be recommended. 4. The method according to claim 1, wherein the identification information is basic unit SKU information for measuring inventory in and out. 5. The method according to any one of claims 1-4, wherein the second object information to be recommended is determined in advance by the following steps: Using a recommendation algorithm, the second to-be-recommended object information is determined based on the to-be-recommended object information corresponding to the historical record information, wherein the recommendation algorithm includes at least one of the following: an association rule algorithm, a similarity algorithm, and a collaborative filtering algorithm. 6. An apparatus for generating information, comprising: The acquisition unit is configured to acquire the permission credentials of the target user; a first determining unit, configured to determine at least one first object to be recommended to which the authority credential is applicable, and generate a first object to be recommended information set, wherein the first object to be recommended information includes identification information; a second determining unit, configured to determine the intersection of the set of identification information included in the first set of object information to be recommended and the set of identification information included in the second set of object information to be recommended, wherein the second object information to be recommended is The information of the object to be recommended determined based on the historical record information of the target user; a third determining unit, configured to determine, in response to determining that the intersection is a non-empty set, a set of candidate to-be-recommended object information corresponding to the intersection; A generating unit, configured to generate recommendation information based on the candidate object to be recommended information set and the authority credential. 7. The apparatus according to claim 6, wherein the third determining unit comprises: a first determining module, configured to, for each identification information in the intersection set, determine the first object to be recommended information and/or the second object information to be recommended corresponding to the identification information as candidate object information to be recommended; The second determination module is configured to determine the determined information of each candidate object to be recommended as a set of candidate object information to be recommended. 8. The apparatus of claim 6, wherein the apparatus further comprises: The fourth determining unit is configured to, in response to determining that the intersection set is an empty set, determine the first set of object information to be recommended as a set of candidate object information to be recommended. 9. The apparatus according to claim 6, wherein the identification information is basic unit SKU information for measuring inventory in and out. 10. The apparatus of one of claims 6-9, wherein the apparatus further comprises: a fifth determining unit, configured to use a recommendation algorithm to determine the second object to be recommended information based on the information of the object to be recommended corresponding to the historical record information, wherein the recommendation algorithm includes at least one of the following: an association rule algorithm, a similar degree algorithm and collaborative filtering algorithm. 11. A server comprising: one or more processors; storage means for storing one or more programs, The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5. 12. A computer-readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.