CN110851702B

CN110851702B - Information pushing method, device, terminal and computer readable medium

Info

Publication number: CN110851702B
Application number: CN201910935749.8A
Authority: CN
Inventors: 郑淳展
Original assignee: Gree Electric Appliances Inc of Zhuhai
Current assignee: Gree Electric Appliances Inc of Zhuhai
Priority date: 2019-09-29
Filing date: 2019-09-29
Publication date: 2021-07-20
Anticipated expiration: 2039-09-29
Also published as: CN110851702A

Abstract

The invention relates to a method, a device, a terminal and a computer readable medium for pushing information, wherein the method comprises the following steps: determining each purchasing factor of the item in response to the item selection instruction, wherein each purchasing factor is respectively configured with a weight and a factor value in each preselected path; generating an optimal purchasing path according to each factor value and each weight; and pushing the optimal purchasing path. The invention has the advantages that: the user can independently select the purchasing point according to the requirement, the cost performance is higher, and the time and the fund for purchasing the article are saved.

Description

Information pushing method, device, terminal and computer readable medium

Technical Field

The present invention relates to the field of information technologies, and in particular, to a method, an apparatus, a terminal, and a computer-readable medium for pushing information.

Background

In the modern life of fast pace at present, office workers often do not have redundant time to buy needed articles at one shopping point, and go to and from each shopping point wastes much time, so that the office workers are not suitable for busy office workers, therefore, the invention is needed to enable people to know which shopping point is relatively complete in articles, has more favorable price, and saves time, financial resources and energy.

Disclosure of Invention

In order to solve the technical problem or at least partially solve the technical problem, the invention provides an information pushing method, an information pushing device, a terminal and a computer readable medium.

In order to solve the technical problems, the invention adopts the technical scheme that:

an information pushing method, characterized in that the method comprises:

determining each purchasing factor of the item in response to the item selection instruction, wherein each purchasing factor is respectively configured with a weight and a factor value in each preselected path;

generating an optimal purchasing path according to each factor value and each weight;

and pushing the optimal purchasing path.

Optionally, generating an optimal purchasing path according to each factor value and each weight includes:

calculating the addition result after the product of each factor value in each preselected path and the corresponding weight;

and generating an optimal purchasing path based on one of the summation results.

Optionally, the method further comprises:

and respectively setting weights for the purchase factors according to the selection sequence of the purchase factors.

Optionally, the method further comprises: and acquiring the position information of the article, and generating the preselected path according to the position information.

Optionally, the method further comprises:

acquiring sales information of the article;

and determining the purchasing factor according to the sales information.

Optionally, determining the purchasing factor according to the sales information includes:

generating a plurality of factor categories according to a preset rule;

matching the sales information with each factor category respectively;

and determining the purchasing factors according to the factor category of successful matching.

Optionally, the item corresponding to the item selection instruction falls into the target item set, and correspondingly, the method further includes:

respectively acquiring user information and weather information;

analyzing the user information and the weather information;

and generating the target item set according to the analysis result.

An information pushing apparatus, comprising:

determining means for determining purchase factors for the item in response to an item selection instruction, wherein each purchase factor is configured with a weight and a factor value in each preselected path;

generating means for generating an optimal purchasing path based on each of the factor values and each of the weights;

and the pushing device is used for pushing the optimal purchasing path.

A terminal comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, wherein the processor implements the steps of any of the above methods when executing the computer program.

A computer readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform any of the methods described above.

Compared with the prior art, the technical scheme provided by the embodiment of the invention has the following advantages: the invention provides a target object set suitable for different crowds by combining factors such as climate and the like according to physical conditions, taste preference and the like of different crowds, and people can select needed objects in the target object set range, thereby saving time and improving life quality; in addition, the user can independently select a purchase point according to the requirement, so that the cost performance is higher, and the time and the fund for purchasing the articles by the user are saved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

Fig. 1 is a flowchart illustrating an information pushing method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a process for determining purchasing factors according to an embodiment of the present invention;

FIG. 3 is a schematic flow chart illustrating a process for generating an optimal procurement path according to another embodiment of the invention;

FIG. 4 is a schematic overall flow chart diagram provided by an embodiment of the present invention;

fig. 5 is a schematic diagram of an apparatus of an information pushing method according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of an apparatus for generating an optimal procurement path according to another embodiment of the invention;

fig. 7 is a block diagram of a terminal according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.

An embodiment of the present invention provides an information pushing method, as shown in fig. 1, where the information pushing method may include the following steps:

step 101: determining each purchasing factor of the item in response to the item selection instruction, wherein each purchasing factor is respectively configured with a weight and a factor value in each preselected path;

step 102: generating an optimal purchasing path according to each factor value and each weight;

step 103: and pushing the optimal purchasing path.

The method provided by the embodiment of the invention responds to an article selection instruction, and determines each purchasing factor of the article, wherein each purchasing factor is respectively configured with a weight and a factor value in each preselected path; generating an optimal purchasing path according to each factor value and each weight; and pushing the optimal purchasing path.

The overall flow of the method of the present invention is described above, and the detailed flow of the method of the present invention is described below with reference to examples.

[ METHOD EXAMPLE 1 ]

In the embodiment 1, all the steps of the method shown in fig. 1 are included, wherein in step 101, in response to an item selection instruction, each purchasing factor of an item is determined, wherein each purchasing factor is respectively configured with a weight and a factor value in each preselected path, and the method is implemented by the following steps:

in the process of purchasing the articles, various purchasing factors influence the selection of the purchaser, so that the influence of each purchasing factor of the articles is considered when the sales address of the articles is selected, and in order to select the sales address of the articles according to the will of the purchaser, the embodiment of the invention respectively configures the weight of each purchasing factor and the factor value in each preselected path.

Specifically, in the case that there are at least two pre-selected paths, the factor value corresponding to each purchasing factor in each pre-selected path is determined, and a weight is configured for each purchasing factor, that is, the weights of the same purchasing factors in different pre-selected paths are consistent.

The determining of the purchase factor of the item is obtained according to the sales information of the item, and specifically, the determining of the purchase factor according to the sales information of the item includes the following steps, as shown in fig. 2:

step 201, generating a plurality of factor categories according to a preset rule;

step 202, matching the sales information with each factor category respectively;

and step 203, determining the purchasing factors according to the successfully matched factor categories.

A plurality of factor categories are generated according to preset rules, wherein the factor categories include but are not limited to item price, completeness, freshness and distance of the items from the buyer, and can be determined according to the sales information of the items and the requirement of the buyer.

The method comprises the steps of respectively matching sales information of the articles with various factor categories, and if the matching is successful, indicating that the sales information of the articles comprises one or more factor categories, determining that purchasing factors contained in the sales address are one or more of the factor categories which are successfully matched, and correspondingly generating factor values corresponding to the purchasing factors.

And respectively setting weights for the purchase factors according to the selection sequence of the purchase factors. The user may rank the order of the purchasing factors according to their preferences, or the system may automatically rank the order of the purchasing factors according to the user's past habits, which the user may alter. Correspondingly, in the embodiment of the invention, according to the general habit, the weights from large to small are sequentially set for each purchase factor according to the sequence of the arrangement, and the weight setting is not specifically limited by the invention.

Before generating the optimal purchasing path, at least two pre-selected paths are obtained in advance, the pre-selected paths are generated according to the position information of the articles, namely the position information of the articles is determined, namely the pre-selected paths are generated according to the selling addresses of the articles, and the at least two pre-selected paths are generated according to the at least two selling addresses of the articles to be purchased respectively.

[ METHOD EXAMPLE 2 ]

In the embodiment 2, all the steps of the method shown in fig. 1 are included, as shown in fig. 3, wherein in step 102, an optimal purchasing path is generated according to each factor value and each weight, and the method is implemented by the following specific method:

step 301: calculating the addition result after the product of each factor value in each preselected path and the corresponding weight;

step 302: and generating an optimal purchasing path based on one of the summation results.

Calculating the addition result after the product of each factor value in each preselected path and the corresponding weight; and generating an optimal purchasing path based on one of the summation results.

The item corresponding to the item selection instruction falls into a target item set, and correspondingly, the method further comprises the following steps:

respectively acquiring user information and weather information;

analyzing the user information and the weather information;

and generating the target item set according to the analysis result.

In order to obtain the articles which are most suitable for the user, the invention provides a target article set, and the user can select the required articles in the target article set, so that the respectively suitable articles can be provided for different users, specifically, user information and weather information are respectively obtained, wherein the user information comprises but is not limited to the gender, the age, the health condition, the taste, the address and the like of the user, and the weather information comprises but is not limited to the temperature, the humidity, the pollution index, the wind power and the like. After the user information and the weather information are analyzed respectively, the user information and the weather information are combined to generate a target article set, a user can select required articles according to the self condition and the weather condition, the target article set is provided for the user, the user can conveniently select the articles which are most suitable for the user, and certain energy is saved.

For example, in order to make the user obtain the most suitable dishes, the user can input the sex, age, health condition, taste, address, etc. of the user in the user information, and further determine the target item set, i.e. the diet list, which is most suitable for the user by combining the information of weather temperature, humidity, pollution index, etc. The spicy food list is selected for the user who prefers spicy taste in cold weather, and the mild food list is selected for the user who has discomfort in intestines and stomach in hot weather, so that the physical health of the user is guaranteed to a certain extent, and the eating habits of the user are met.

FIG. 4 is a flow chart of an embodiment of the present invention.

Step 401, generating an article to be purchased according to user information and the weather information;

step 402, determining the purchasing factor according to the sales information of the article;

step 403, generating a preselected path according to the position information of the article;

step 404, respectively configuring weights and factor values in each pre-selected path for the purchase factors;

step 405, calculating the addition result after each factor value in each preselected path is multiplied by the corresponding weight;

generating 406 an optimal procurement path based on one of the summation results;

and 407, pushing the optimal purchasing path.

Wherein, the

steps

402 and 403 are not in sequence.

Generating an article to be purchased according to user information and the weather information; determining the purchase factor according to sales information of the item; generating a preselected path according to the position information of the article; respectively configuring weights and factor values in each pre-selected path for purchase factors; calculating the addition result after the product of each factor value in each preselected path and the corresponding weight; generating an optimal procurement path based on one of the summation results; and pushing the optimal purchasing path.

And determining the purchasing factors according to the sales information of the articles, and generating the non-sequence order of the preselected paths according to the position information of the articles.

The method applied to the system shown in fig. 1 is described in detail above, and the apparatus, device and terminal provided by the present invention are described below with reference to fig. 5-7.

Based on the same concept, the embodiment of the present application further provides an information pushing apparatus, as shown in fig. 5,

determining means 501 for determining each purchasing factor of the item in response to the item selection instruction, wherein each purchasing factor is configured with a weight and a factor value in each preselected path;

generating means 502 for generating an optimal purchasing path according to each of the factor values and each of the weights;

and a pushing device 503, configured to push the optimal purchasing path.

As shown in fig. 6, in some embodiments of the invention, the generating means 502 comprises:

a calculating unit 601, configured to calculate a sum result obtained by multiplying each factor value in each preselected path by the corresponding weight;

a generating unit 602, configured to generate an optimal procurement path based on one of the summation results.

Based on the same concept, the embodiment of the present application further provides a terminal, which includes a memory and a processor, where the memory stores a computer program that can be run on the processor, and the processor implements the control method when executing the computer program.

Based on the same concept, an embodiment of the present application further provides an electronic device, as shown in fig. 7, the electronic device mainly includes: a processor 701, a communication interface 702, a memory 703 and a communication bus 704, wherein the processor 701, the communication interface 702 and the memory 703 are in communication with each other via the communication bus 704. The communication interface 702 is used for communication between the electronic device and other devices. The memory 703 stores a program executable by the processor 701, and the processor 701 executes the program stored in the memory 703 to realize the control method described above when executing a computer program.

The communication bus 704 mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 704 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.

The memory 703 may include a Random Access Memory (RAM), or may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The processor 701 may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components.

In yet another embodiment of the present application, there is also provided a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to execute the above-described control method.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The available media may be magnetic media (e.g., floppy disks, hard disks, tapes, etc.), optical media (e.g., DVDs), or semiconductor media (e.g., solid state drives), among others.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An information pushing method, characterized in that the method comprises:

determining each purchasing factor of the article in response to an article selection instruction, wherein each purchasing factor is respectively configured with a weight and a factor value in each pre-selected path, and the weights of the same purchasing factors in different pre-selected paths are consistent;

pushing the optimal purchasing path;

wherein the method further comprises:

acquiring sales information of the article;

determining the purchase factor according to the sales information;

the determining the purchase factor according to the sales information includes:

generating a plurality of factor categories according to a preset rule, wherein the preset rule comprises sales information of the articles and demands of buyers, and the factor categories comprise article price, completeness, freshness and distance between the articles and the buyers;

matching the sales information with each factor category respectively;

and determining the purchasing factors according to the factor categories with successful matching, wherein the factor values correspond to the purchasing factors, and the purchasing factors are one or more of the factor categories with successful matching.

2. The method of claim 1, wherein generating an optimal procurement path based on each of the factor values and each of the weights comprises:

3. The method of claim 1, further comprising:

4. The method of claim 1, further comprising:

and acquiring the position information of the article, and generating the preselected path according to the position information.

5. The method according to claim 1, wherein the item corresponding to the item selection instruction falls into a target item set, and correspondingly, the method further comprises:

respectively acquiring user information and weather information;

analyzing the user information and the weather information;

and generating the target item set according to the analysis result.

6. An information pushing apparatus, comprising:

determining means for determining purchase factors of the item in response to an item selection instruction, wherein each purchase factor is configured with a weight and a factor value in each pre-selected path, and the weights of the same purchase factors in different pre-selected paths are consistent;

the pushing device is used for pushing the optimal purchasing path;

wherein the apparatus is further configured to:

acquiring sales information of the article;

determining the purchase factor according to the sales information;

said determining said purchase factor from said sales information is for:

matching the sales information with each factor category respectively;

7. A terminal comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor, when executing the computer program, performs the steps of the method according to any of the preceding claims 1 to 5.

8. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1-5.