CN110889733B - Resource and commodity recommendation method, device and equipment - Google Patents
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Abstract
The application discloses a resource and commodity recommendation method, device and equipment. The method comprises the following steps: firstly determining a resource type concerned by a resource transfer-out party, then acquiring resource heat information of the resource transfer-out party on the resource type, and further recommending a hot spot resource of the resource type to the resource transfer-out party based on the resource heat information.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for recommending resources and commodities.
Background
With the rapid development of internet technology, more and more users are used to online resource transfer in the internet.
Common resource transfer modes include: the user is used as a resource transfer-in party to transfer in resources from a resource production party, and then is used as a resource transfer-out party to provide the transferred resources to other users. Thus, the resources that users turn into need to match the needs of other users.
Therefore, a more efficient resource recommendation method is needed.
Disclosure of Invention
The embodiment of the specification provides a method, a device and equipment for recommending resources and commodities, which are used for helping a resource transfer-out party to make an effective resource selection strategy and improving resource selection efficiency.
The embodiment of the specification also provides a resource recommendation method, which comprises the following steps:
determining the type of the resource concerned by the resource transfer-out party;
acquiring resource heat information of a resource transfer party on the resource type;
and recommending the hot spot resource to the resource transfer-out party based on the resource heat information of the resource type.
The embodiment of the specification also provides a commodity recommendation method, which comprises the following steps:
determining the type of the commodity concerned by the seller;
acquiring commodity heat information of a consumer on the commodity type;
and recommending the hot spot commodity to the seller based on the commodity heat information of the commodity type.
The embodiment of the specification also provides a resource recommendation device, which comprises:
the determining module is used for determining the type of the resource focused by the resource transfer-out party;
the acquisition module is used for acquiring the resource heat information of the resource type by the resource transfer party;
and the recommending module is used for recommending the hot spot resource to the resource transfer-out party based on the resource heat information of the resource type.
The embodiment of the specification also provides a commodity recommendation device, which comprises:
the first determining module is used for determining the commodity type focused by the seller;
the second determining module is used for obtaining commodity heat information of the commodity type of the consumer;
And the recommending module is used for recommending hot-spot commodities to the seller based on the commodity heat information of the commodity type.
The embodiment of the specification also provides an electronic device, including:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the steps of:
determining the type of the resource concerned by the resource transfer-out party;
acquiring resource heat information of a resource transfer party on the resource type;
and recommending the hot spot resource to the resource transfer-out party based on the resource heat information of the resource type.
The embodiments of the present specification also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
determining the type of the resource concerned by the resource transfer-out party;
acquiring resource heat information of a resource transfer party on the resource type;
and recommending the hot spot resource to the resource transfer-out party based on the resource heat information of the resource type.
The embodiment of the specification also provides an electronic device, including:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the steps of:
Determining the type of the commodity concerned by the seller;
acquiring commodity heat information of a consumer on the commodity type;
and recommending the hot spot commodity to the seller based on the commodity heat information of the commodity type.
The embodiment of the specification adopts the following technical scheme:
the embodiments of the present specification also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
determining the type of the commodity concerned by the seller;
acquiring commodity heat information of a consumer on the commodity type;
and recommending the hot spot commodity to the seller based on the commodity heat information of the commodity type.
The above-mentioned at least one technical scheme that this description embodiment adopted can reach following beneficial effect:
when a resource transfer-out party selects a resource, hot spot resources of a resource type are recommended to the resource transfer-out party from the perspective of resource heat information of the resource type focused by the resource transfer-out party. Compared with the prior art, the resource selection efficiency of the resource transfer-out party can be effectively improved, and the resource transfer-out party is helped to make an effective resource selection strategy.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1a is a schematic diagram of an application scenario provided in the present specification;
fig. 1b is a schematic diagram of another application scenario provided in the present specification;
FIG. 1c is a schematic diagram of yet another application scenario provided in the present specification;
FIG. 2 is a flowchart illustrating a resource recommendation method according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of an implementation of determining resource popularity according to an embodiment of the present disclosure;
FIG. 4 is a schematic flow chart of a commodity recommendation method according to another embodiment of the present disclosure;
FIGS. 5 a-5 c are schematic views showing the effect of scrolling to display merchandise information according to another embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a resource recommendation device according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a commodity recommendation device according to another embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of an electronic device according to another embodiment of the present disclosure.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
As stated in the background section, when a resource is selected by a resource provider, the resource provider is generally recommended based on the information such as the ranking, preference, etc. of the resource type that the whole resource provider is turning into, but the resource types that other resource provider is turning into are not necessarily the resource types that the resource provider pays attention to. Thus, the actual selection strategy for the resource exporter is not greatly aided.
Based on the above, the invention provides a resource recommendation method, which comprises the steps of firstly determining a resource type concerned by a resource transfer-out party when the resource transfer-out party selects a resource, and then recommending a hot spot resource of the resource type to the resource transfer-out party from the perspective of resource heat information of the resource transfer-out party on the resource type. Therefore, the hot spot resources preferred by the resource transfer-in party can be recommended for the resource transfer-out party, so that the resource selection efficiency of the resource transfer-out party is effectively improved, and the resource transfer-out party is helped to make an effective resource selection strategy.
The following describes an application scenario of the present invention.
Referring to fig. 1a, an application scenario includes: a plurality of resource-in parties 101, resource-out parties 102, and a resource-transfer platform 103, wherein:
a resource transfer-in party 101 for transferring in the resource provided by the resource transfer-out party 102 through a resource transfer platform 103;
the resource transfer platform 103 is used for recording the resource transfer data of the resource transfer party 101 and summarizing and counting to determine the resource preferred by the resource transfer party 101 and the heat information of the resource type concerned by the resource transfer party 102, so as to recommend the hot spot resource for the resource transfer party 102;
a resource transfer-out party 102 for transferring hot spot resources recommended by the resource transfer platform 103 from the resource transfer platform 103 or other platform for supplying hot spot resources, and providing the hot spot resources to the resource transfer-in party 101 through the resource transfer platform 103.
Referring to fig. 1b, another application scenario includes: a plurality of resource transfer-in parties 111, a resource transfer-out party 112, a first resource transfer-in party 113, and a second resource transfer-in party 114, wherein:
a resource transfer-out party 112 for transferring a resource from the first resource transfer platform 113 and providing the resource transfer-in party 111 through the second resource transfer platform 114;
A resource transfer-in party 111 for transferring in the resource provided by the resource transfer-out party 112 through a second resource transfer platform 114;
the second resource transfer platform 114 is configured to record the resource transfer data of the resource transfer party 111 and perform summary statistics to determine the resources preferred by the resource transfer party 111 and the heat information of the resource types focused on the resource transfer party 112;
the first resource transfer platform 113 is configured to obtain, from the second resource transfer platform 114, the heat information of the resource type that the resource transfer-in party 111 pays attention to the resource transfer-out party 112, and recommend a hot spot resource to the resource transfer-out party 112 based on the heat information when the resource transfer-out party 112 transfers into the resource from the present platform.
It should be noted that, the resources in the above two application scenarios include, but are not limited to: private products (i.e., merchandise) produced for consumption by exchange into society, products that can be used without exchange (e.g., cloud disk shared resources, documents shared online in libraries, etc.). However, for the convenience of understanding and description, the following takes "commodity" as an example, and further provides an application scenario of "commodity".
Referring to fig. 1c, the application scenario of "commodity" includes: a plurality of consumer terminals 121, a seller terminal 122, a merchandise wholesale platform 123, and a merchandise retail platform 124, wherein:
A seller terminal 122 for wholesale goods through a goods wholesale platform 123 and retail through a goods retail platform 124;
a consumer terminal for purchasing goods for sale by a seller through the goods retail platform 124;
the commodity retail platform 124 is used for recording commodity transaction data of consumers and performing summarization statistics to determine commodity heat information of commodity types focused by consumers on sellers;
the commodity wholesale platform 123 is configured to obtain commodity heat information of a commodity type that a consumer pays attention to by a seller from the commodity retail platform 124, so as to recommend a hot commodity to the seller based on the commodity heat information when the seller wholesales the commodity.
In the three application scenarios, the resource transfer-in party and the resource transfer-out party, and the consumer terminal and the seller terminal can be a computer terminal, a mobile terminal and the like; the mobile terminal or mobile communication terminal refers to a computer device that can be used in mobile, and broadly includes a mobile phone, a notebook, a tablet computer, a POS machine, and even includes a vehicle-mounted computer. But in most cases refers to cell phones or smart phones with multiple application functions and tablet computers. The resource transfer platform, the first resource transfer platform, the second resource transfer platform, the commodity wholesale platform and the commodity retail platform can be server sides.
The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
Fig. 2 is a schematic flow chart of a resource recommendation method according to an embodiment of the present disclosure, referring to fig. 1, where the method may be performed by the resource transfer platform 103 in fig. 1a or the first resource transfer platform 113 in fig. 1b, and may specifically include the following steps:
step 220, determining the type of the resource concerned by the resource transfer-out party;
the resource type concerned by the resource transfer-out party can be the resource type input or selected by the resource transfer-out party, or can be the resource type available by the resource transfer-out party. Accordingly, one implementation of step 220 may be:
acquiring one or more resource types determined by the resource transfer-out party;
that is, one resource type selected or input by the resource roll-out party is taken as the resource type of interest.
Another implementation of step 220 may be:
determining one or more resource types associated with the identification information of the resource transfer-out party; the method specifically comprises the following steps:
determining a resource transfer-out history of the resource transfer-out party based on the identification information of the resource transfer-out party; one or more resource types that the resource roll-out party rolls out are determined based on the resource roll-out history.
That is, based on the resource roll-out history of the resource roll-out, one or more resource types that it can provide are determined and taken as the resource type of interest.
Step 240, obtaining the resource heat information of the resource type by the resource transfer party;
it should be noted that, when the method is executed by the resource transfer platform 103 in fig. 1a, one implementation manner may be:
step S1, acquiring a history behavior record of the resource transfer party;
the history behavior record may be a resource search record of a resource transfer party, or may be a resource transfer record.
Step S2, determining resource heat information of the resource transfer party on each resource type based on the historical behavior record;
the resource heat information can be determined by searching or transferring to frequency, increasing and decreasing frequency within a latest preset time period, and the like.
And S3, determining resource heat information of the type of the resource focused by the resource transfer-in party to the resource transfer-out party. For example:
if the type of the resource focused by the resource transfer-out party is a computer document, extracting resource heat information corresponding to the computer document from step S2, where the resource heat information may include a heat sequence in multiple dimensions, for example: under the dimension of the downloading amount, the heat sequence is as follows: the document A-heat degree is a, the document C-heat degree is C, and the document B-heat degree is B, wherein a is more than C and more than B; under the browse amount dimension, the hotness sequence is: the document B-heat is B, the document C-heat is C, and the document A-heat is a, wherein B > C > a.
When the method is performed by the first resource transfer platform 113 in fig. 1b, another implementation manner may be:
step S1, a read access request is sent to a second resource transfer platform 114, wherein the read access request carries the resource type concerned by a resource transfer party;
step S2, receiving a history behavior record corresponding to the resource type returned by the second resource transfer platform 114 in response to the read access request
And step S3, determining the resource heat information of the resource type by the resource transfer party based on the historical behavior record corresponding to the resource type.
When the method is performed by the first resource transfer platform 113 in fig. 1b, a further implementation may be:
step S1, a read access request is sent to a second resource transfer platform 114, wherein the read access request carries the resource type concerned by a resource transfer party;
step S2, receiving the resource heat information of the resource type by the resource transfer party returned by the second resource transfer platform 114 in response to the read access request.
It should be understood that, in this implementation manner, the second resource transfer platform 114 records the historical behavior of the resource transfer party on each resource type and performs statistical analysis to determine the resource heat information of the resource transfer party on each resource type, so as to return the resource heat information of the resource type concerned by the resource transfer party when receiving the read access request of the first resource transfer platform 113.
And step 260, recommending a hot spot resource to the resource transfer-out party based on the resource heat information of the resource type.
Wherein, the resource heat information includes: resource retrieval heat information and/or resource transfer heat information, wherein the resource retrieval heat information is a heat sequence in a retrieval (searching) dimension, and the resource transfer heat information is a heat sequence in a transfer dimension (for example, a download dimension in step S3 of step 240);
accordingly, one implementation of step 260 may be:
step S1, determining the corresponding heat degree of the resources belonging to the resource type based on the resource heat degree information of the resource type; with reference to fig. 3, it may specifically be:
step 320, determining the retrieval heat corresponding to the resource belonging to the resource type based on the resource retrieval heat information of the resource type;
step 340, determining the transfer heat corresponding to the resource of the resource type based on the resource transfer heat information of the resource type;
step 360, determining the heat of the resource belonging to the resource type based on the retrieval heat and/or the transfer heat.
For steps 320-360, assuming that the type of resource of interest to the resource roll-out is a computer-like document, the resource retrieval popularity information may be exemplified by: the document A-retrieval heat is a, the document B-retrieval heat is B, and the document C-retrieval heat is C, wherein a is more than B and more than C; the resource transfer heat information may be exemplified by: the document D-downloading heat degree is D, the document W-downloading heat degree is W, and the document A-downloading heat degree is a, wherein D is more than W is more than a. Further, the popularity of each document may be determined based on the search popularity and/or the download popularity of each document of the computer class.
The implementation manner of calculating the document heat based on the document retrieval heat and/or the download heat is not limited herein.
And S2, recommending the characteristic information of the resource (namely, the hot spot resource) with the heat meeting the preset condition to a resource transfer-out party.
The predetermined condition may be a predetermined number of resources with the maximum heat, or may be a resource with the heat satisfying a predetermined threshold; the characteristic information of the resource includes: one or more of the resource identification, the resource heat and the heat rise and fall range can further comprise: search (or transfer) volume, comments, profiles, etc. Taking the assumptions in steps 320-360 as an example:
the calculated heat of the computer-like document is: if the heat of the document W > the heat of the document a > the heat of the document D, etc., one or more resources may be selected based on predetermined conditions, and the characteristic information such as the retrieval (or transfer-in) amount, score, name, abstract, source, etc. may be recommended to the resource transfer-out party.
In addition, it is to be understood that the resource types concerned by the resource transfer-out party may not be unique, and based on the above steps, a resource whose heat satisfies the predetermined condition may be selected from the resources of each resource type, and the characteristic information thereof may be recommended to the resource transfer-out party.
Optionally, in order to improve the resource recommendation effect, this embodiment further discloses a recommendation manner of feature information of the resource:
and correlating the characteristic information of the hot spot resources belonging to the same resource type and sending the characteristic information to the client so that the client can display the characteristic information of the correlated hot spot resources in a scrolling mode. Assuming that the resource types of interest to the resource roll-out include computer-like documents, science fiction-like movies, the recommendation can be exemplified as:
binding the characteristic information of the hot spot document belonging to the computer document so that the client can display the characteristic information of the hot spot document of the bound computer document as a first frame;
binding the characteristic information of the hot spot movies belonging to the science fiction movies so that the client can display the characteristic information of the hot spot movies of the bound science fiction movies as a second frame;
feature information in the first frame and the second frame is cyclically displayed.
In addition, it is easy to understand that when the feature information of the hot spot resource of the same resource type is more, the feature information can be separately bound and displayed by using multiple frames.
Optionally, to further improve the recommendation efficiency, this embodiment further discloses a correlation manner of feature information of hotspot resources of the same resource type:
Determining a heat sequence corresponding to a hot spot resource belonging to the same resource type; and associating the characteristic information of the hot spot resources belonging to the same resource type based on the heat sequence. Suppose that the hotness sequence of the hot spot resource of the computer class document focused by the resource transfer-out party is: the association manner may be exemplified by that the heat of the document W > the heat of the document a > the heat of the document D:
the characteristic information of the document W is placed at the first position, the characteristic information of the document A is placed at the second position, and the characteristic information of the document D is placed at the last position.
Therefore, the characteristic information of the hot spot resources of the uniform resource type can be displayed to the user according to the hotness sequence, so that the hotness resource and the characteristic information thereof can be discovered at the first time by the resource transfer party, and an effective resource selection strategy can be made efficiently.
Therefore, in this embodiment, when the resource transfer-out party selects a resource, the resource type concerned by the resource transfer-out party is determined first, and then the resource heat information of the resource transfer-out party on the resource type is determined, so that the hot spot resource of the concerned resource type can be recommended to the resource transfer-out party from the aspect of the resource demand heat of the resource transfer-out party. Compared with the prior art, the method can help the resource transfer-out party to make an effective resource selection strategy and improve the resource selection efficiency of the resource transfer-out party.
Fig. 4 is a schematic flow chart of a commodity recommendation method according to another embodiment of the present disclosure, referring to fig. 4, the method may be executed by the commodity wholesale platform in fig. 1c, and may specifically include the following steps:
step 420, determining the type of the commodity focused by the seller;
the commodity type concerned by the seller can be the commodity type input or selected by the seller, and also can be the commodity type sold by the seller. Accordingly, one implementation of step 420 may be:
acquiring one or more commodity types determined by the seller;
that is, one commodity type selected or input by the seller is taken as the commodity type of interest.
Another implementation of step 220 may be:
determining one or more commodity types associated with the identification information of the seller; the method specifically comprises the following steps:
determining a commodity sales history of the seller based on the identification information of the seller; based on the merchandise sales history, one or more merchandise types sold by the seller are determined.
That is, based on the seller's product sales history, one or more product types that can be provided are determined and taken as the product type of interest.
Step 440, obtaining commodity heat information of the commodity type by the consumer;
for step 440, since it corresponds to 240 in the corresponding embodiment of fig. 2, its implementation is also correspondingly similar, so step 440 is briefly described herein as follows:
the method is applicable to a commodity wholesale platform, then step 440 may be exemplified by:
acquiring commodity heat information of a consumer on the commodity type from a commodity retail platform; or,
sending a read access request to a commodity sales platform so as to acquire a historical transaction record corresponding to a commodity type focused by a seller from the commodity sales platform; based on the historical transaction records, commodity heat information of the consumer for the commodity type is determined.
Step 460, recommending hot spot commodities to the seller based on the commodity heat information of the commodity type.
For step 460, since it corresponds to 260 in the embodiment corresponding to fig. 2, its implementation is also correspondingly similar, so step 460 is briefly described herein as follows, and one implementation thereof may be:
step S1, determining the corresponding heat degree of the commodity belonging to the commodity type based on the commodity heat degree information of the commodity type;
wherein, commodity heat information includes: commodity searching heat information and/or commodity transaction heat information; step S1 may specifically be:
Determining the searching heat corresponding to the commodity belonging to the commodity type based on the commodity searching heat information of the commodity type;
determining the transaction heat corresponding to the commodity of the commodity type based on commodity transaction heat information of the commodity type;
and determining the heat of the commodity belonging to the commodity type based on the search heat and/or the transaction heat.
And S2, recommending commodity information of the commodity with the heat meeting the preset condition to a seller.
The predetermined condition may be one or more commodities with maximum heat, or may be commodities with heat greater than a predetermined threshold; the commodity information includes: one or more of commodity pictures, commodity heat and heat fluctuation range. Accordingly, step S2 may specifically be exemplified by:
and correlating the commodity information of the hot-spot commodities belonging to the same commodity type and sending the commodity information to the client side so that the client side can display the commodity information of the correlated hot-spot commodities in a scrolling mode.
In connection with fig. 5 a-5 c, assume that the types of goods of interest to the seller include: women's garments, children's garments and department goods; the hot spot commodities of the women's dress are down jackets, pure cotton jackets and undershirts, the hot spot commodities of the children's dress are dress, pullover and undershirts, and the hot spot commodities of the department's dress are electric rice cookers, thermos cups and storage boxes; binding commodity information of hot-spot commodities belonging to the ladies for the client to display in a first frame; binding commodity information of hot-spot commodities belonging to children's garments so as to enable the client to be displayed in a second frame; and binding commodity information of the hot-spot commodities belonging to the department stores so as to be displayed in a third frame by the client.
Further, the embodiment further discloses a commodity information binding mode:
determining a heat sequence corresponding to a hot spot commodity belonging to the same commodity type; and associating commodity information of hot-spot commodities belonging to the same commodity type based on the heat sequence.
That is, the commodity information of each hot commodity is bound in the order from the higher heat degree to the lower heat degree from the heat degree dimension.
Therefore, in this embodiment, when the seller wholesales the commodity, the type of the commodity concerned by the seller is determined first, and then the commodity heat information of the consumer on the commodity type is determined, so that the hot-spot commodity of the commodity type sold can be recommended to the seller from the point of the commodity demand heat of the consumer. Compared with the prior art, the method can help sellers to make effective commodity wholesale strategies and improve commodity wholesale efficiency of the sellers.
In another possible embodiment, a commodity recommendation method provided in fig. 4 may also be interactively performed by a server or a client or both; a client refers to a program that can be installed on a seller terminal or a consumer terminal in fig. 1c for providing a local service to a user; the server is used for interacting with the client to provide services such as resource, data storage and the like for the client.
Taking the example that the service end and the client end interact to execute the commodity recommendation method, the specific implementation process can be exemplified as follows:
a user initiates a login request carrying a user identifier to a server through a client, and the server responds to the login request when verifying that the user identifier is legal so as to complete login;
the server inquires the commodity type concerned by the user, wherein the commodity type concerned can be the commodity type corresponding to the keyword input by the user after logging in, can also be the commodity type corresponding to the historical search record and the historical transaction record of the user, and can also be the commodity type sold by the user;
the server inquires about the hot-sell commodities of the commodity type concerned by the user, and takes one or more commodities with highest heat in the hot-sell commodities as hot-spot commodities; or,
the server queries the hot search keywords of the commodity type of interest to the user, for example: if the types of the commodities focused by the user are women's clothes and children's clothes, searching the hot search keywords corresponding to the women's clothes, down jackets, pure cotton jackets, leggings and the like, and selecting one or more keywords with highest hot search degree from the keywords, for example: the down jackets and the leggings are used as hot spot commodities;
The server further recommends commodity information such as heat/heat search, heat fluctuation/heat search fluctuation, commodity pictures and the like of the hot-spot commodity to the user.
The user can be a seller, and the recommended hot spot commodities are used for prompting consumers to search and purchase the hot spot commodities, so that convenience is brought to wholesale goods delivery of the seller; the user can also be a consumer, and the recommended hot spot commodity is used for prompting other consumers to search and purchase the hot spot commodity, so that the hot spot commodity can be recommended to the consumer with high probability.
Therefore, in the embodiment, when the user shops, the type of the commodity focused by the user is determined, and then the commodity heat information of the consumer group on the commodity type is determined, so that the hot-spot commodity purchased by the user can be recommended from the commodity demand heat angle of the consumer group. Compared with the prior art, the commodity purchasing system can help the user to make an effective commodity purchasing strategy, and improves commodity purchasing efficiency of the user.
In addition, for simplicity of explanation, the above-described method embodiments are depicted as a series of acts, but it should be appreciated by those skilled in the art that the present embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will recognize that the embodiments described in the specification are all preferred embodiments, and that the actions involved are not necessarily required for the embodiments of the present invention.
Fig. 6 is a schematic structural diagram of a resource recommendation device provided in an embodiment of the present disclosure, and referring to fig. 6, the device may specifically include: a determining module 61, an acquiring module 62 and a recommending module 63, wherein:
a determining module 61, configured to determine a resource type of interest of a resource roll-out party;
an obtaining module 62, configured to obtain resource heat information of the resource type by the resource transfer party;
and a recommending module 64, configured to recommend a hot spot resource to the resource transfer-out party based on the resource popularity information of the resource type.
Optionally, the determining module 61 is specifically configured to:
acquiring one or more resource types determined by the resource transfer-out party; or determining one or more resource types associated with the identification information of the resource transfer-out party.
Optionally, the determining module 61 is further configured to:
determining a resource transfer-out history of the resource transfer-out party based on the identification information of the resource transfer-out party; one or more resource types that the resource roll-out party rolls out are determined based on the resource roll-out history.
Optionally, the apparatus further comprises:
the recording module is used for acquiring the history behavior record of the resource transfer party; and determining the resource heat information of the resource transfer party on each resource type based on the historical behavior record.
Optionally, the recommendation module 64 is specifically configured to:
determining the corresponding heat degree of the resources belonging to the resource type based on the resource heat degree information of the resource type; and recommending the characteristic information of the resource with the heat meeting the preset condition to a resource transfer-out party.
Optionally, the resource heat information includes: the resource retrieves the heat information and/or the resource transfer heat information;
wherein, the recommendation module 64 is further configured to:
determining the retrieval heat corresponding to the resource belonging to the resource type based on the resource retrieval heat information of the resource type; determining the transfer heat corresponding to the resource of the resource type based on the resource transfer heat information of the resource type; based on the retrieval heat and/or the transfer heat, a heat of a resource belonging to the resource type is determined.
Optionally, the recommendation module 64 is further configured to:
and correlating the characteristic information of the hot spot resources belonging to the same resource type and sending the characteristic information to the client so that the client can display the characteristic information of the correlated hot spot resources in a scrolling mode.
Optionally, the recommendation module 64 is further configured to:
determining a heat sequence corresponding to a hot spot resource belonging to the same resource type; and associating the characteristic information of the hot spot resources belonging to the same resource type based on the heat sequence.
Optionally, the characteristic information includes one or more of resource identification, resource heat and heat rise and fall.
Optionally, the device is suitable for a first resource transfer platform, the first resource transfer platform is used for providing a resource transfer service for a resource transfer-out party, and the second resource transfer platform is used for providing a resource transfer service for the resource transfer-in party for the resource transfer-out party;
the acquiring module 62 is specifically configured to:
acquiring resource heat information of a resource transfer party on the resource type from the second resource transfer platform; or, acquiring a historical behavior record corresponding to the resource type from the second resource transfer platform, and determining resource heat information of a resource transfer party on the resource type based on the historical behavior record.
Therefore, in this embodiment, when the seller wholesales the commodity, the type of the commodity concerned by the seller is determined first, and then the commodity heat information of the consumer on the commodity type is determined, so that the hot-spot commodity of the commodity type sold can be recommended to the seller from the point of the commodity demand heat of the consumer. Compared with the prior art, the method can help sellers to make effective commodity wholesale strategies and improve commodity wholesale efficiency of the sellers.
Fig. 7 is a schematic structural diagram of a commodity recommendation device according to another embodiment of the present disclosure, and referring to fig. 7, the device may specifically include: a determining module 71, an acquiring module 72 and a recommending module 73, wherein:
a determining module 71 for determining a type of the commodity of interest to the seller;
an acquisition module 72, configured to acquire commodity heat information of the commodity type from a consumer;
and a recommending module 73, configured to recommend a hot spot commodity to the seller based on the commodity heat information of the commodity type.
Optionally, the determining module 71 is specifically configured to:
acquiring one or more commodity types determined by the seller; or,
determining one or more commodity types associated with the identification information of the seller;
optionally, the determining module 71 is specifically configured to:
determining a commodity sales history of the seller based on the identification information of the seller; based on the merchandise sales history, one or more merchandise types sold by the seller are determined.
Optionally, the obtaining module 72 is specifically configured to:
and acquiring commodity heat information of the commodity type from a commodity retail platform. Or,
sending a read access request to a commodity sales platform so as to acquire a historical transaction record corresponding to a commodity type focused by a seller from the commodity sales platform; based on the historical transaction records, commodity heat information of the consumer for the commodity type is determined.
Optionally, the recommendation module 73 is specifically configured to:
determining the corresponding heat degree of the commodity belonging to the commodity type based on the commodity heat degree information of the commodity type; and recommending commodity information of the commodity with the heat meeting the preset condition to a seller.
Alternatively, the predetermined condition may be one or more commodities with the maximum heat, or may be commodities with a heat greater than a predetermined threshold; the commodity information includes: one or more of commodity pictures, commodity heat and heat fluctuation range.
Optionally, the commodity heat information includes: commodity searching heat information and/or commodity transaction heat information;
wherein, the recommendation module 73 is further configured to:
determining the searching heat corresponding to the commodity belonging to the commodity type based on the commodity searching heat information of the commodity type; determining the transaction heat corresponding to the commodity of the commodity type based on commodity transaction heat information of the commodity type; and determining the heat of the commodity belonging to the commodity type based on the search heat and/or the transaction heat.
Optionally, the recommendation module 73 is further configured to:
and correlating the commodity information of the hot-spot commodities belonging to the same commodity type and sending the commodity information to the client side so that the client side can display the commodity information of the correlated hot-spot commodities in a scrolling mode.
Optionally, the recommendation module 73 is further configured to:
determining a heat sequence corresponding to a hot spot commodity belonging to the same commodity type; and associating commodity information of hot-spot commodities belonging to the same commodity type based on the heat sequence.
Optionally, the device is suitable for a commodity wholesale platform;
the acquisition module is specifically configured to:
and acquiring commodity heat information of the commodity type from a commodity retail platform.
Therefore, in this embodiment, when the seller wholesales the commodity, the type of the commodity concerned by the seller is determined first, and then the commodity heat information of the consumer on the commodity type is determined, so that the hot-spot commodity of the commodity type sold can be recommended to the seller from the point of the commodity demand heat of the consumer. Compared with the prior art, the method can help sellers to make effective commodity wholesale strategies and improve commodity wholesale efficiency of the sellers.
In addition, for the above-described apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference should be made to the description of the method embodiments for relevant points.
It should be noted that, among the respective components of the apparatus of the present invention, the components thereof are logically divided according to functions to be realized, but the present invention is not limited thereto, and the respective components may be re-divided or combined as needed.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, referring to fig. 8, the electronic device includes: processors, internal buses, network interfaces, memory, and non-volatile storage, although other services may be required. The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the resource recommendation device on a logic level. Of course, other implementations, such as logic devices or combinations of hardware and software, are not excluded from the present application, that is, the execution subject of the following processing flows is not limited to each logic unit, but may be hardware or logic devices.
The network interface, processor and memory may be interconnected by a bus system. The bus may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 8, but not only one bus or type of bus.
The memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include read only memory and random access memory and provide instructions and data to the processor. The Memory may comprise a Random-Access Memory (RAM) or may further comprise a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory.
The processor is used for executing the program stored in the memory and specifically executing:
determining the type of the resource concerned by the resource transfer-out party;
acquiring resource heat information of a resource transfer party on the resource type;
and recommending the hot spot resource to the resource transfer-out party based on the resource heat information of the resource type.
The method performed by the resource recommendation device or manager (Master) node described above and disclosed in the embodiment shown in fig. 6 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The resource recommendation device may also perform the methods of fig. 2-3 and implement the methods performed by the manager node.
Based on the same inventive concept, embodiments of the present application also provide a computer-readable storage medium storing one or more programs that, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the resource recommendation method provided by the corresponding embodiments of fig. 2-3.
Fig. 9 is a schematic structural diagram of an electronic device according to another embodiment of the present disclosure, referring to fig. 9, the electronic device includes: processors, internal buses, network interfaces, memory, and non-volatile storage, although other services may be required. The processor reads the corresponding computer program from the nonvolatile memory to the memory and then runs the computer program to form the commodity recommending device on a logic level. Of course, other implementations, such as logic devices or combinations of hardware and software, are not excluded from the present application, that is, the execution subject of the following processing flows is not limited to each logic unit, but may be hardware or logic devices.
The network interface, processor and memory may be interconnected by a bus system. The bus may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in fig. 9, but not only one bus or one type of bus.
The memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include read only memory and random access memory and provide instructions and data to the processor. The Memory may comprise a Random-Access Memory (RAM) or may further comprise a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory.
The processor is used for executing the program stored in the memory and specifically executing:
determining the type of the commodity concerned by the seller;
Acquiring commodity heat information of a consumer on the commodity type;
and recommending the hot spot commodity to the seller based on the commodity heat information of the commodity type.
The method performed by the merchandise recommendation apparatus or manager (Master) node described above and disclosed in the embodiment of fig. 7 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The merchandise recommendation apparatus may also perform the method of fig. 4 and implement the method performed by the manager node.
Based on the same inventive concept, embodiments of the present application also provide a computer-readable storage medium storing one or more programs that, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the merchandise recommendation method provided by the corresponding embodiment of fig. 4.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that 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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (11)
1. The resource recommendation method is suitable for a first resource transfer platform, and the first resource transfer platform is used for providing a resource transfer-in service for a resource transfer-out party, and is characterized by comprising the following steps:
determining a resource transfer-out history of a resource transfer-out party based on identification information of the resource transfer-out party;
Determining one or more resource types of the resource roll-out based on the resource roll-out history;
acquiring resource heat information of a resource transfer party on the resource type; the resource heat information comprises heat sequences in multiple dimensions;
determining the corresponding heat degree of the resources belonging to the resource type based on the resource heat degree information of the resource type;
determining a heat sequence corresponding to a hot spot resource belonging to the same resource type;
and associating the characteristic information of the hot spot resources belonging to the same resource type based on the hot spot sequences corresponding to the hot spot resources belonging to the same resource type, and sending the characteristic information to the client so that the client can display the characteristic information of the associated hot spot resources in a scrolling mode according to the hot spot sequences corresponding to the hot spot resources belonging to the same resource type.
2. The method of claim 1, further comprising, prior to obtaining the resource heat information for the resource type by the resource transfer-in party:
acquiring a historical behavior record of the resource transfer party;
and determining the resource heat information of the resource transfer party on each resource type based on the historical behavior record.
3. The method of claim 1, wherein the resource heat information comprises: the resource retrieves the heat information and/or the resource transfer heat information;
wherein, based on the resource heat information of the resource type, determining the heat corresponding to the resource belonging to the resource type includes:
determining the retrieval heat corresponding to the resource belonging to the resource type based on the resource retrieval heat information of the resource type;
determining the transfer heat corresponding to the resource of the resource type based on the resource transfer heat information of the resource type;
based on the retrieval heat and/or the transfer heat, a heat of a resource belonging to the resource type is determined.
4. The method of claim 1, wherein the characteristic information comprises one or more of a resource identification, a resource heat, and a heat rise and fall.
5. The method of claim 1, wherein obtaining resource heat information for the resource type by a resource transferor comprises:
acquiring resource heat information of a resource transfer party on the resource type from a second resource transfer platform; or,
acquiring a historical behavior record corresponding to the resource type from the second resource transfer platform, and determining resource heat information of a resource transfer party on the resource type based on the historical behavior record;
The resource transfer-in party transfers in the resource provided by the resource transfer-out party through the second resource transfer platform.
6. The commodity recommending method is suitable for a commodity wholesale platform and is characterized by comprising the following steps:
determining a commodity sales history of a seller based on identification information of the seller;
determining one or more types of goods sold by the seller based on the goods sales history; acquiring commodity heat information of a consumer on the commodity type; the commodity heat information comprises heat sequences in multiple dimensions;
determining the corresponding heat degree of the commodity belonging to the commodity type based on the commodity heat degree information of the commodity type;
determining a heat sequence corresponding to a hot spot commodity belonging to the same commodity type; and associating commodity information of the hot-spot commodities belonging to the same commodity type based on the heat sequence corresponding to the hot-spot commodities belonging to the same commodity type, and sending the commodity information to a client side so that the client side can display the commodity information of the associated hot-spot commodities in a scrolling mode according to the correspondence of the hot-spot commodities belonging to the same commodity type.
7. The method of claim 6, wherein obtaining commodity heat information for the commodity type by a consumer comprises:
And acquiring commodity heat information of the commodity type from a commodity retail platform.
8. The resource recommendation device is characterized by being applicable to a first resource transfer platform, wherein the first resource transfer platform is used for providing a resource transfer-in service for a resource transfer-out party and comprises the following components:
the determining module is used for determining a resource transfer-out history record of the resource transfer-out party based on the identification information of the resource transfer-out party; determining one or more resource types of the resource roll-out based on the resource roll-out history;
the acquisition module is used for acquiring the resource heat information of the resource type by the resource transfer party; the resource heat information comprises heat sequences in multiple dimensions;
the recommendation module is used for determining the corresponding heat degree of the resources belonging to the resource type based on the resource heat degree information of the resource type; determining a heat sequence corresponding to a hot spot resource belonging to the same resource type; and associating the characteristic information of the hot spot resources belonging to the same resource type based on the hot spot sequences corresponding to the hot spot resources belonging to the same resource type, and sending the characteristic information to the client so that the client can display the characteristic information of the associated hot spot resources in a scrolling mode according to the hot spot sequences corresponding to the hot spot resources belonging to the same resource type.
9. A commodity recommendation device adapted for use in a commodity wholesale platform, comprising:
the determining module is used for determining the commodity selling history record of the seller based on the identification information of the seller; determining one or more types of goods sold by the seller based on the goods sales history; the acquisition module is used for acquiring commodity heat information of the commodity type by a consumer; the commodity heat information comprises heat sequences in multiple dimensions;
the recommending module is used for determining the corresponding heat degree of the commodity belonging to the commodity type based on the commodity heat degree information of the commodity type; determining a heat sequence corresponding to a hot spot commodity belonging to the same commodity type; and associating commodity information of the hot-spot commodities belonging to the same commodity type based on the heat sequence corresponding to the hot-spot commodities belonging to the same commodity type, and sending the commodity information to a client side so that the client side can display the commodity information of the associated hot-spot commodities in a scrolling mode according to the correspondence of the hot-spot commodities belonging to the same commodity type.
10. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the steps of the method of any of claims 1 to 7.
11. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 5.
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