CN111681081A - Interactive product configuration method and system, computer readable storage medium and terminal - Google Patents
Interactive product configuration method and system, computer readable storage medium and terminal Download PDFInfo
- Publication number
- CN111681081A CN111681081A CN202010511947.4A CN202010511947A CN111681081A CN 111681081 A CN111681081 A CN 111681081A CN 202010511947 A CN202010511947 A CN 202010511947A CN 111681081 A CN111681081 A CN 111681081A
- Authority
- CN
- China
- Prior art keywords
- configuration
- configuration combination
- weight
- combination
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides an interactive product configuration method and system, a computer readable storage medium and a terminal, which can process option values of configuration items according to constraint conditions among the configuration items input by a user to obtain a plurality of configuration combinations meeting the constraint conditions, thereby outputting a finished automobile configuration combination with finished automobile weight meeting a target weight condition. That is to say, the invention represents each option value under a certain attribute in the form of a weight value, and can provide a plurality of configuration combinations which meet the target weight condition under the current condition according to the configuration items selected by the user, thereby recommending a proper configuration combination to the user by taking the whole vehicle weight as the target.
Description
Technical Field
The invention relates to the technical field of automobile, supply chain management and operation and research optimization algorithms, in particular to an interactive product configuration method and system, a computer readable storage medium and a terminal.
Background
The focus of competition among automobile enterprises is gradually focusing on how to better meet the diversified and personalized requirements of users, and the marketing mode is also changed from the traditional mode of taking products as the guide and taking customers as the guide. This makes the product configuration more and more demanding for the enterprise.
In the matching process, a user is influenced by factors such as configuration mutual exclusion, configuration binding and the like, and not all configurations can be freely selected, so that the problem that the constraint is met by a product configuration system is needed, and the user can carry out customized matching through the Internet.
However, different matching results correspond to different attributes of cost, profit, popularity, etc., which may affect the seller and the consumer to different degrees. Therefore, it is an urgent problem to recommend an appropriate configuration combination with one attribute as a target.
Disclosure of Invention
In view of the above, to solve the above problems, the present invention provides an interactive product configuration method and system, a computer-readable storage medium, and a terminal, and the technical solution is as follows:
an interactive product configuration method, the method comprising:
acquiring configuration items input by a user and a weight condition aiming at a target attribute;
processing option values of the configuration items according to constraint conditions among the configuration items to obtain a plurality of finished automobile configuration combinations; each finished automobile configuration combination comprises a group of option values of the configuration items meeting the constraint conditions;
and outputting the configuration combination with the vehicle weight meeting the weight condition from the plurality of vehicle configuration combinations.
Preferably, outputting a configuration combination with the vehicle weight meeting the weight condition from the plurality of vehicle configuration combinations comprises:
determining the number of combined outputs corresponding to the weight condition;
under the condition that the combined output quantity is smaller than the quantity of the plurality of finished automobile configuration combinations, determining a configuration combination set from the plurality of finished automobile configuration combinations, wherein the quantity of the finished automobile configuration combinations in the configuration combination set is the same as the combined output quantity;
calculating the vehicle weight of the vehicle configuration combination in the configuration combination set, and determining a vehicle configuration combination with the vehicle weight matched with the weight condition from the configuration combination set as a reference configuration combination;
determining a finished automobile configuration combination outside the configuration combination set from the plurality of finished automobile configuration combinations as a configuration combination to be compared;
under the condition that the reference configuration combination is the whole vehicle configuration combination with the maximum whole vehicle weight in the configuration combination set, judging whether an option value with the option weight aiming at the target attribute larger than the whole vehicle weight of the reference configuration combination exists in the configuration combination to be compared;
if yes, returning to execute the step of determining a finished automobile configuration combination outside the configuration combination set from the plurality of finished automobile configuration combinations as a configuration combination to be compared;
if not, calculating the whole vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set under the condition that the whole vehicle weight of the configuration combination to be compared is smaller than the whole vehicle weight of the reference configuration combination, updating the configuration combination to be compared into the configuration combination set, and returning to execute the step of determining a whole vehicle configuration combination with the whole vehicle weight matched with the weight condition from the configuration combination set as the reference configuration combination.
Preferably, the outputting the configuration combination with the vehicle weight meeting the weight condition from the plurality of vehicle configuration combinations further includes:
under the condition that the reference configuration combination is the whole vehicle configuration combination with the minimum whole vehicle weight in the configuration combination set, judging whether the option weight aiming at the target attribute is larger than the option value of the whole vehicle weight of the reference configuration combination in the configuration combination set to be compared;
if yes, calculating the vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to execute the vehicle configuration combination which determines the vehicle weight matched with the weight condition from the configuration combination set and is used as the reference configuration combination;
if not, calculating the whole vehicle weight of the configuration combination to be compared;
under the condition that the vehicle weight of the configuration combination to be compared is larger than the vehicle weight of the reference configuration combination, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to execute the determination of the vehicle configuration combination with the vehicle weight matched with the weight condition from the configuration combination set as the reference configuration combination;
under the condition that the vehicle weight of the configuration combination to be compared is not larger than that of the reference configuration combination, returning to execute the step of determining a vehicle configuration combination outside the configuration combination set from the plurality of vehicle configuration combinations as the configuration combination to be compared;
and outputting the whole vehicle configuration combination in the configuration combination set.
Preferably, calculating the vehicle weight of the vehicle configuration combination in the configuration combination set includes:
the superposition sum of the option values of the whole vehicle configuration combination in the configuration combination set aiming at the option weight of the target attribute is used as the corresponding whole vehicle weight;
the calculating the vehicle weight of the configuration combination to be compared comprises the following steps:
and taking the superposition of the option values of the configuration combination to be compared with the option weight of the target attribute as the whole vehicle weight of the configuration combination to be compared.
Preferably, the outputting of the configuration combination with the vehicle weight meeting the weight condition from the plurality of vehicle configuration combinations further includes:
and under the condition that the combination output number is not less than the number of the plurality of vehicle configuration combinations, calculating the vehicle weight of each vehicle configuration combination, and outputting the plurality of vehicle configuration combinations according to the sequence of vehicle weight from low to high/from high to low.
Preferably, outputting the entire vehicle configuration combination in the configuration combination set includes:
and outputting the whole vehicle configuration combination in the configuration combination set in a product model mode.
Preferably, the method further comprises:
and carrying out legality detection on the configuration items, and executing the option value for processing the configuration items according to the constraint conditions among the configuration items to obtain a plurality of finished automobile configuration combinations under the condition that the configuration items pass the detection.
An interactive product configuration system, the system comprising:
the acquisition module is used for acquiring the configuration items input by the user and the weight conditions aiming at the target attributes;
the processing module is used for processing the option values of the configuration items according to the constraint conditions among the configuration items to obtain a plurality of vehicle configuration combinations; each finished automobile configuration combination comprises a group of option values of the configuration items meeting the constraint conditions;
and the output module is used for outputting the configuration combination with the finished automobile weight meeting the weight condition from the plurality of finished automobile configuration combinations.
A computer readable storage medium having stored thereon computer instructions which, when executed, perform the steps of a method of configuring an interactive product.
A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, when executing the computer instructions, performing the steps of any of the interactive product configuration methods.
Compared with the prior art, the invention has the following beneficial effects:
the interactive product configuration method and system, the computer readable storage medium and the terminal provided by the invention can process the option values of the configuration items according to the constraint conditions among the configuration items input by the user to obtain a plurality of configuration combinations conforming to the constraint conditions, thereby outputting the whole vehicle configuration combination with the whole vehicle weight conforming to the target weight condition. That is to say, the invention represents each option value under a certain attribute in the form of a weight value, and can provide a plurality of configuration combinations which meet the target weight condition under the current condition according to the configuration items selected by the user, thereby recommending a proper vehicle type configuration combination to the user by taking the whole vehicle weight as the target.
Drawings
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, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flowchart of a method for configuring an interactive product according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method of configuring an interactive product according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a scenario of an interactive product configuration;
FIG. 4 is a schematic diagram of a scenario of another interactive product configuration;
fig. 5 is a schematic structural diagram of an interactive product configuration system according to an embodiment of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention relates to the field of automobiles, the field of supply chain management and the field of operation and research optimization algorithms, and is suitable for the automobile customization problem with an interactive product configuration system.
Automobiles, being the most representative modern industrial products, are also facing new problems in the new market environment. On one hand, the manufacturing industry needs to reduce the production cost of enterprises through large-scale mass production; another aspect is the increasing demand for personalization and diversification of users. The focus of competition among enterprises is gradually focused on how to better meet the diversified and personalized requirements of users, the marketing mode is also changed from the traditional mode of taking products as guidance to the mode of taking customers as guidance, the personalized service for the customers is emphasized, and the customers have more autonomy.
The demand for products with low price, stable quality and satisfying individual requirements is increasing, which makes the requirements of enterprises for product configuration systems higher and higher. In the matching, not all options can be freely selected (configuration mutual exclusion, configuration binding), so a product configuration system (also called as a product configurator) is needed, and the basic function is to solve the problem of constraint satisfaction. The interactive product configuration system enables a user to interact with the constraint satisfaction problem solver, and the user can see the feedback of the system to the current selection of the user at each interaction stage of making the selection. Therefore, an interactive product configuration system is often adopted for online automobile matching based on the internet, and a user can perform customized matching online through the internet by using tools such as a mobile phone, a computer and the like.
There are many implementations of interactive product configuration systems, and the invention is not limited to a specific solution to the problem of satisfying constraints.
The existing automobile customization methods mainly comprise two methods, one method is that some configurations are selected and installed on the basis of standard automobile types, the selection is relatively traditional, the installation rule is simple, and the constraint is not required to be considered to meet the problem or is very simple; the other option is a relatively developed free option, many configuration items can be opened for a user to select, which can be called as customization in the true sense, but configuration mutual exclusion and binding relationship exist among some configuration items, an interactive product configuration system is required to perform configuration space check, and the validity of the selected configuration is ensured (a mass production vehicle can be formed according to the selected configuration).
The invention is based on the customization in the second real sense, but the existing interactive product configuration system only provides the check of the configuration validity and does not give the difference of certain attribute represented by the weight for the vehicle type corresponding to different configurations. The configuration meeting the requirements appears to be equal to the existing configuration system, and cannot be distinguished due to different overall vehicle weights of the attributes. With respect to solving the problem of configuration constraint, that is, finding a legal configuration combination space, a great deal of research exists, including heuristic algorithms, classical algorithms, knowledge compiling algorithms and neural network solving algorithms, so as to improve the sales volume of the calculation process as a research target. In recent years, different configurations are given different weights, but the sum of the weights is used as an objective function, an automobile matching scene is not used, and an interactive product configuration system for automobile online matching with the whole automobile weight as the objective function is not discovered temporarily.
In the case of customization, different overall vehicle configuration combinations correspond to different attributes such as cost, profit, popularity and the like, but the attributes have different influences on sellers and consumers. Therefore, in the case that the user defines some configuration items and is relatively insensitive to some other configurations, the user can be recommended a suitable vehicle type configuration combination according to the established weight target, so that the obtained matching combination reaches the highest or lowest weight target.
The invention utilizes an optimization algorithm to quickly search out the whole vehicle configuration combination with the highest or lowest weight target of each configuration item under the current condition in a feasible solution range in an interactive product configuration system. The scene with the highest weight target refers to an application scene with higher product profit, selling price, popularity and the like; the scenario in which the weight target is the lowest is a scenario in which it is desirable to reduce the parameter as much as possible, such as cost, inventory time, and the like.
The embodiment of the invention provides an interactive product configuration method, and the method has a flow chart as shown in figure 1, and comprises the following steps:
and S10, acquiring the configuration items input by the user and the weight conditions aiming at the target attributes.
In the embodiment of the invention, through interaction with a user, configuration items input by the user to the interactive product configuration system are obtained, wherein the number of the configuration items is at least one, such as 'engine', 'gearbox', 'suspension', and the like.
Further, the corresponding weight targets for the target attributes are different in different application scenarios. For example, the higher the product profit, the selling price, the popularity, and the like, the better the application scenario, and the highest weight target thereof, so the weight condition may be specifically "the entire vehicle configuration combination with the largest entire vehicle weight output"; for another example, the cost, the inventory time, and the like are desired to be reduced as much as possible in the scenario where the parameter is desired to be reduced, and the weighting target is the lowest, so the weighting condition may be specifically "outputting the vehicle configuration combination with the lowest vehicle weighting".
In addition, in the embodiment of the present invention, the interactive product configuration system may further perform validity check on the configuration item input by the user, and perform response of the subsequent step only when the configuration item passes the detection, that is, when the configuration item is legal. If the configuration items input by the user are illegal, the user is reminded to re-input or cancel part of the required configuration items in time.
S20, processing the option values of the configuration items according to the constraint conditions among the configuration items to obtain a plurality of vehicle configuration combinations; each vehicle configuration combination comprises a group of option values of configuration items meeting constraint conditions.
In the embodiment of the invention, for each configuration item, the interactive product configuration system stores option values of the configuration item in advance, such as three option values of a configuration item "engine" corresponding to model A, model B and model C, and further such as a configuration item "gearbox" corresponding to model 1 and model 2.
In addition, the interactive product configuration system also prestores constraint conditions of configuration mutual exclusion and binding relationship between configuration items, such as the configuration item 'engine' model B and 'gearbox' model 1 are mutually exclusive, and the configuration item 'engine' model A must be bound with the 'gearbox' model 1.
Further, the interactive product configuration system generates a plurality of finished vehicle configuration combinations based on the constraint conditions among the configuration items by running a configuration constraint problem algorithm, wherein each configuration combination comprises a group of option values of the configuration items meeting the constraint conditions.
In a specific implementation process, a solution space corresponding to a constraint condition between configuration items can be determined; further, the option of processing configuration items in a full traversal or a pruned traversal in the solution space may be worth a plurality of full vehicle configuration combinations.
And S30, outputting the configuration combination with the vehicle weight meeting the weight condition from the plurality of vehicle configuration combinations.
In the embodiment of the invention, the interactive product configuration system stores the weights (namely option weights) of the option values of the configuration items aiming at different attributes in advance, further calculates the corresponding finished automobile configuration weight according to the weights of the option values aiming at the target attributes in the finished automobile configuration combination, preferably, obtains the option weight of each option value aiming at the target attributes in the finished automobile configuration combination aiming at each finished automobile configuration combination, and adds the option weights to be used as the finished automobile weight of the finished automobile configuration combination. Of course, a certain multiple of the superposition of the option weights may also be used as the overall vehicle weight of the overall vehicle configuration combination, which is not limited in this embodiment.
Further, the vehicle configuration combination is output according to the weight condition, for example, the higher the product profit, the selling price, the popularity and the like are, the better the application scene is, and a plurality of vehicle configuration combinations before the vehicle with the maximum weight are output; for another example, the cost, the inventory time, and the like are expected to reduce the parameter as much as possible, and output the first several vehicle configuration combinations with the smallest vehicle weight. Of course, all vehicle configuration combinations can be output in a sequence from small to large or from large to small according to the vehicle weight, and this embodiment is not limited.
In a specific implementation process, in order to reduce the calculation pressure caused by calculating the vehicle weights of all vehicle configuration combinations, the step S30 "outputting a configuration combination in which the vehicle weights meet the weight condition from a plurality of vehicle configuration combinations" may adopt the following steps, and a flowchart of the method is shown in fig. 2:
s301, determining the number of combined outputs corresponding to the weight conditions.
In the embodiment of the invention, the user can preset the number of the maximum/minimum vehicle weights required to be output in the weight conditions, and the number of the maximum/minimum vehicle weights can be one or more.
S302, under the condition that the number of the combined outputs is smaller than the number of the plurality of vehicle configuration combinations, determining a configuration combination set from the plurality of vehicle configuration combinations, wherein the number of the vehicle configuration combinations in the configuration combination set is the same as the number of the combined outputs.
In the embodiment of the present invention, the configuration combination set includes at least one finished vehicle configuration combination, and if the number of finished vehicle configuration combinations obtained in step S20 is greater than the number required by the user, a configuration combination set including the finished vehicle configuration combinations with the same number as the number required by the user is determined from the finished vehicle configuration combinations.
S303, calculating the whole vehicle weight of the whole vehicle configuration combination in the configuration combination set, and determining a whole vehicle configuration combination with the whole vehicle weight matched with the weight condition from the configuration combination set as a reference configuration combination.
In the embodiment of the invention, the superposition sum of the option values of the finished automobile configuration combination in the configuration combination set aiming at the option weight of the target attribute is used as the corresponding finished automobile weight.
For application scenes with higher product profit, selling price, popularity and the like and better, the reference configuration combination is the whole vehicle configuration combination with the minimum whole vehicle weight in the configuration combination set; for the scenes such as cost, inventory time and the like which want to reduce the parameters as much as possible, the reference configuration combination is the whole vehicle configuration combination with the maximum whole vehicle weight in the configuration combination set.
S304, determining a whole vehicle configuration combination outside the configuration combination set from the plurality of whole vehicle configuration combinations as a configuration combination to be compared.
S305, judging whether the option weight aiming at the target attribute is greater than the option value of the whole vehicle weight of the reference configuration combination in the configuration combination to be compared or not under the condition that the reference configuration combination is the whole vehicle configuration combination with the maximum whole vehicle weight in the configuration combination set; if yes, returning to execute the step S304; if not, go to step S306.
S306, calculating the whole vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set under the condition that the whole vehicle weight of the configuration combination to be compared is smaller than the whole vehicle weight of the reference configuration combination, updating the configuration combination to be compared into the configuration combination set, and returning to execute the step S303 of determining the whole vehicle configuration combination with the whole vehicle weight matched with the weight condition as the reference configuration combination.
In the embodiment of the invention, the superposition of the option values of the configuration combination to be compared with the option weight of the target attribute is used as the whole vehicle weight of the configuration combination to be compared.
S307, under the condition that the reference configuration combination is the whole vehicle configuration combination with the minimum whole vehicle weight in the configuration combination set, judging whether the option weight aiming at the target attribute is larger than the option value of the whole vehicle weight of the reference configuration combination in the configuration combination to be compared; if yes, go to step S308; if not, go to step S309;
s308, calculating the vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to execute the step S303 of determining the vehicle configuration combination with the vehicle weight matched with the weight condition as the reference configuration combination.
S309, calculating the vehicle weight of the configuration combination to be compared.
In the embodiment of the invention, the superposition of the option values of the configuration combination to be compared with the option weight of the target attribute is used as the whole vehicle weight of the configuration combination to be compared.
S310, under the condition that the vehicle weight of the configuration combination to be compared is larger than the vehicle weight of the reference configuration combination, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to and executing the step S303 of determining the vehicle configuration combination with the vehicle weight matched with the weight condition from the configuration combination set as the reference configuration combination.
And S311, returning to execute the step S304 under the condition that the vehicle weight of the configuration combination to be compared is not more than that of the reference configuration combination.
And S312, outputting the whole vehicle configuration combination in the configuration combination set.
In the embodiment of the invention, after traversing is finished for a plurality of vehicle configuration combinations, the vehicle configuration combinations in the configuration combination set are output.
In some other embodiments, to visually present the vehicle configuration combination to the user, the interactive product configuration system may further output the vehicle configuration combination in the configuration combination set in the form of a product model.
In addition, it should be noted that, in the case that the number of combination outputs is not less than the number of the plurality of finished vehicle configuration combinations, the finished vehicle weight of each finished vehicle configuration combination is calculated, and the plurality of finished vehicle configuration combinations are output in the order from low to high/from high to low according to the finished vehicle weight.
For the purpose of facilitating an understanding of the present invention, the following principles of embodiments of the present invention are illustrated:
aiming at the problem of optimal weight solution in the feasible configuration space of online matching of the automobile internet, the invention establishes the following model:
R＝(X，D，W，C，K)
1) x is a finite set of non-null variables, X ═ X1,x2,…,xn-each element representing a configuration item of the vehicle configuration;
2) d is applied to X for each variable XiFunction of (2), mapping a variable to its domain
Represents the variable xiWherein each element represents each specific option value corresponding to each configuration item of the vehicle in the invention;
3) c is a set of finite constraints
Wherein
Is to constrain
Acting on the variable in X, constraining
Is dimension siNumber of intermediate variables, each constraint
Is the range of action siEach constraint specifies an assignment range of each variable in a subset including a plurality of variables, and the set embodies a mutual constraint relationship between configuration items.
4) W: is applied to each variable X in XiOption weight of (3), mapping a variable to its domain
5) K: the number of the configuration combinations of the front several whole vehicles with the minimum or maximum weight is expected to be obtained:
the goal of the problem is to first find the assignments of all variables under the constraint
And (4) collecting (whole vehicle configuration combinations), calculating the whole vehicle weight of each whole vehicle configuration combination, and then finding the first K whole vehicle configuration combinations with the minimum or maximum whole vehicle weight.
The following is a concrete model of automobile matching:
type
carColor{Black:21,White:32,Red:12,Blue:38}
wheelSize{Small:33,Medium:45,Large:12}
carPrint{MIB:32,STW:22}
variable
carColor color；
wheelSize size；
carPrint print；
rule
(print＝＝MIB)>>(color＝＝Black)；
(print＝＝STW)>>(size！＝Small)；
the above example and the previous model may respectively correspond to R ═ (X, D, W, C, K), and three types including carColor, wheelSize, and carPrint are model X; several options corresponding to each type correspond to D, such as Black, White, Red, Blue four colors in cartuer; rule corresponds to C, (print) > (color) >, which means that, when carPrint is selected as MIB, carColor can only be selected as Black; w corresponds to the date behind each option, takes the wheelSize as an example, three wheel hubs with different sizes are provided, wherein Small corresponds to the weight 33, Medium corresponds to the weight 45, and Large corresponds to the weight 12; k is not given above, the number is generally determined by an interactive scene, and the example takes 3, namely the three types of vehicle with the highest weight are recommended.
For example, a user starts entering the matching process:
(1) firstly, a first requirement is provided, and Blue is selected as the carmolor;
(2) configuring validity check, and checking validity, wherein only one item is selected, so that the condition of conflict does not exist;
(3) judging whether the combination is uniquely configured or not, wherein the current feasible configuration comprises the following steps:
<Blue,Large,STW>
<Blue,Medium,STW>
combining the two configurations;
calculating the highest configuration combination of the vehicle weight, wherein the highest configuration combination from high to low is as follows:
<Blue,Medium,STW>105
<Blue,Large,STW>72
(5) is the user chose to use the recommended configuration? Assume this example is not used;
(6) the user puts forward a new request, and the carPrint is selected as MIB;
(7) judging the configuration validity, and being illegal;
(8) the user cancels part of the requirements, and assumes that Blue is cancelled;
(9) the user proposes a cartolor selection as Black;
(10) judging the configuration validity, and determining the configuration validity;
(11) judging whether the combination is uniquely configured or not, wherein the current feasible configuration comprises the following steps:
<Black,Small,MIB>
<Black,Large,MIB>
<Black,Medium,MIB>
(12) calculating the maximum configuration combination of the weight of the whole vehicle, wherein the maximum configuration combination is as follows from large to small:
<Black,Medium,MIB>98
<Black,Small,MIB>86
<Black,Large,MIB>65
(13) is the user chose to use the recommended configuration? Suppose that the user selects the combination < Black, Medium, MIB > in this example;
(14) and storing the configuration combination, and finishing the matching process.
The user finally selects the combination of < Black, Medium, MIB > with a total weight of 98. Wherein Black and MIB are selected actively by the user, and Medium is selected passively by the user. In this example, the user is more concerned about carmolor and carmprint, but is not sensitive to wheelesize, so with the help of the present invention, the vehicle model with the largest overall weight and meeting the requirements of the user can be selected.
See fig. 3 for a schematic view of a scenario of an interactive product configuration. In the interactive product configuration system, a user can specify a user requirement, the system can provide a configuration combination legal space meeting the requirement, and the result is updated to a product model, and the product model can be the current matching result of the user or the display of the matching result in other forms. The optional space of the associated configuration items brought by the matching result can be fed back to the user through the internet, for example, when the user selects the configuration item which is mutually exclusive with the previously selected configuration item, the user can be prompted that the configuration combination is illegal. This completes the interaction and the user then puts forward a new request, i.e. the determination of another configuration. At the end of each interaction, the interactive product configuration system will give a model that the user meets the previous accumulated user requirements, which is called a default model in this embodiment, and the default model will necessarily meet the configuration constraints. After all the non-mutually exclusive requirements of the user are met, a unique configuration combination is determined, and the configuration items which are not required by the user refer to a default value.
In solving the configuration constraint problem, the user may select the product configuration component at any stage, i.e., the element in the variable value domain in the configuration constraint problem. The configuration constraint problem solver will filter out elements in the component value domain that are incompatible with the current customer selection in real-time. The customer can see the system's feedback on the user's current selection at each interaction stage in which a selection is made. From the perspective of customers, the system can help customers to better customize personalized products which the customers like; from the enterprise perspective, can help the enterprise practice thrift the human cost, reduce manufacturing cost, increase enterprise sales volume.
See fig. 4 for a schematic view of a scenario of an interactive product configuration. The weight data of each configuration item is increased compared to the general interactive product configuration system shown in fig. 3. The data is stored in a storage medium or an internet database, and the system can acquire the option weight corresponding to any configuration item and calculate the finished vehicle configuration combination with the minimum or maximum finished vehicle weight by using the option weight.
According to the interactive product configuration method provided by the embodiment of the invention, when a user is sensitive to any attribute such as cost, profit or popularity, a plurality of configuration combinations meeting the weight condition of the target attribute under the current condition can be given in a feasible configuration space defined by the configuration selected by the user, so that the proper vehicle type configuration combination is recommended to the user by taking the weight of the whole vehicle as a target.
Based on the interactive product configuration method provided in the foregoing embodiment, an embodiment of the present invention correspondingly provides a system for executing the interactive product configuration method, where a schematic structural diagram of the interactive product configuration system is shown in fig. 5, and the method includes:
an obtaining module 10, configured to obtain a configuration item input by a user and a weight condition for a target attribute;
the processing module 20 is used for processing the option values of the configuration items according to the constraint conditions among the configuration items to obtain a plurality of finished automobile configuration combinations; each vehicle configuration combination comprises a group of option values of configuration items meeting constraint conditions;
and the output module 30 is used for outputting the configuration combination of which the vehicle weight meets the weight condition from the plurality of vehicle configuration combinations.
Optionally, the output module 30 is specifically configured to:
determining the number of combined outputs corresponding to the weight condition; under the condition that the combined output number is smaller than the number of the plurality of finished automobile configuration combinations, determining a configuration combination set containing at least one finished automobile configuration combination from the plurality of finished automobile configuration combinations, wherein the number of the finished automobile configuration combinations in the configuration combination set is the same as the combined output number;
calculating the vehicle weight of the vehicle configuration combination in the configuration combination set, and determining a vehicle configuration combination with the vehicle weight matched with the weight condition from the configuration combination set as a reference configuration combination;
determining a finished automobile configuration combination outside the configuration combination set from a plurality of finished automobile configuration combinations as a configuration combination to be compared;
when the reference configuration combination is the whole vehicle configuration combination with the maximum whole vehicle weight in the configuration combination set, judging whether the option weight aiming at the target attribute is larger than the option value of the whole vehicle weight of the reference configuration combination in the configuration combination to be compared;
if yes, returning to execute the step of determining a whole vehicle configuration combination outside the configuration combination set from the plurality of whole vehicle configuration combinations as a configuration combination to be compared;
if not, calculating the whole vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set under the condition that the whole vehicle weight of the configuration combination to be compared is smaller than the whole vehicle weight of the reference configuration combination, updating the configuration combination to be compared into the configuration combination set, and returning to execute the step of determining a whole vehicle configuration combination with the whole vehicle weight matched with the weight condition from the configuration combination set as the reference configuration combination;
when the reference configuration combination is the whole vehicle configuration combination with the minimum whole vehicle weight in the configuration combination set, judging whether the option weight aiming at the target attribute is larger than the option value of the whole vehicle weight of the reference configuration combination in the configuration combination to be compared;
if so, calculating the vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to execute the vehicle configuration combination which determines the vehicle weight matched with the weight condition from the configuration combination set and is used as the reference configuration combination;
if not, calculating the weight of the whole vehicle of the configuration combination to be compared; under the condition that the vehicle weight of the configuration combination to be compared is greater than the vehicle weight of the reference configuration combination, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to execute the determination of a vehicle configuration combination with the vehicle weight matched with the weight condition from the configuration combination set as the reference configuration combination;
under the condition that the vehicle weight of the configuration combination to be compared is not greater than that of the reference configuration combination, returning to execute the step of determining a vehicle configuration combination outside the configuration combination set from the plurality of vehicle configuration combinations as the configuration combination to be compared; and outputting the whole vehicle configuration combination in the configuration combination set.
Optionally, the output module 30 for calculating the vehicle weight of the vehicle configuration combination in the configuration combination set is specifically configured to:
and taking the superposition sum of the option values of the whole vehicle configuration combination in the configuration combination set aiming at the option weight of the target attribute as the corresponding whole vehicle weight.
The output module 30 is configured to calculate a vehicle weight of the configuration combination to be compared, and is specifically configured to:
and (4) taking the superposition of the option values of the configuration combination to be compared with the option weight of the target attribute as the whole vehicle weight of the configuration combination to be compared.
Optionally, the output module 30 is further configured to:
and under the condition that the combination output number is not less than the number of the plurality of finished automobile configuration combinations, calculating the finished automobile weight of each finished automobile configuration combination, and outputting the plurality of finished automobile configuration combinations according to the sequence of the finished automobile weight from low to high/from high to low.
Optionally, the output module 30 is configured to output a vehicle configuration combination in the configuration combination set, and is further configured to:
and outputting the whole vehicle configuration combination in the configuration combination set in a product model mode.
Optionally, the processing module 20 is further configured to:
and carrying out legality detection on the configuration items, and executing option values for processing the configuration items according to constraint conditions among the configuration items to obtain a plurality of vehicle configuration combinations under the condition that the configuration items pass the detection.
Optionally, the calculating module 30 is further configured to:
and outputting a product model of the target vehicle configuration combination.
According to the interactive product configuration system provided by the embodiment of the invention, when a user is sensitive to any attribute such as cost, profit or popularity, a plurality of configuration combinations meeting the weight condition of the target attribute under the current condition can be given in a feasible configuration space defined by the configuration selected by the user, so that the user is recommended to a proper vehicle type configuration combination by taking the weight of the whole vehicle as a target.
Embodiments of the present invention further provide a computer-readable storage medium, on which computer instructions are stored, where the computer instructions, when executed, perform the steps of the interactive product configuration method. The computer-readable storage medium may include, for example, a non-volatile (non-volatile) or non-transitory (non-transitory) memory, and may also include an optical disc, a mechanical hard disk, a solid state hard disk, and the like.
The embodiment of the invention also provides a terminal, which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor, and the processor executes the steps of the interactive product configuration method when running the computer instructions. The terminal includes, but is not limited to, a mobile phone, a computer, a tablet computer and other terminal devices.
The processor may be a Central Processing Unit (CPU), an application-specific integrated circuit (ASIC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device.
For example, the computer instructions are stored in the memory, and when the computer instructions in the memory are executed by the processor, all or part of the functions of the interactive product configuration method in the above embodiments can be realized. In addition, when all or part of the functions in the above embodiments are implemented by computer instructions, the computer instructions may also be stored in a storage medium such as a server, another computer, a magnetic disk, an optical disk, a flash disk, or a removable hard disk, and stored in a memory of the local terminal by downloading or copying, or by performing version update on a system of the local terminal, and when the computer instructions in the memory are executed by a processor, all or part of the functions in the above embodiments may be implemented.
The above detailed description is provided for the interactive product configuration method and system, the computer-readable storage medium, and the terminal, and specific examples are applied herein to illustrate the principles and embodiments of the present invention, and the descriptions of the above embodiments are only used to help understand the method and the core ideas of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, 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 or 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 previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use 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 (10)
1. An interactive product configuration method, the method comprising:
acquiring configuration items input by a user and a weight condition aiming at a target attribute;
processing option values of the configuration items according to constraint conditions among the configuration items to obtain a plurality of finished automobile configuration combinations; each finished automobile configuration combination comprises a group of option values of the configuration items meeting the constraint conditions;
and outputting the configuration combination with the vehicle weight meeting the weight condition from the plurality of vehicle configuration combinations.
2. The method of claim 1, wherein outputting, from the plurality of vehicle configuration combinations, a configuration combination with a vehicle weight meeting the weight condition comprises:
determining the number of combined outputs corresponding to the weight condition;
under the condition that the combined output quantity is smaller than the quantity of the plurality of finished automobile configuration combinations, determining a configuration combination set from the plurality of finished automobile configuration combinations, wherein the quantity of the finished automobile configuration combinations in the configuration combination set is the same as the combined output quantity;
calculating the vehicle weight of the vehicle configuration combination in the configuration combination set, and determining a vehicle configuration combination with the vehicle weight matched with the weight condition from the configuration combination set as a reference configuration combination;
determining a finished automobile configuration combination outside the configuration combination set from the plurality of finished automobile configuration combinations as a configuration combination to be compared;
under the condition that the reference configuration combination is the whole vehicle configuration combination with the maximum whole vehicle weight in the configuration combination set, judging whether an option value with the option weight aiming at the target attribute larger than the whole vehicle weight of the reference configuration combination exists in the configuration combination to be compared;
if yes, returning to execute the step of determining a finished automobile configuration combination outside the configuration combination set from the plurality of finished automobile configuration combinations as a configuration combination to be compared;
if not, calculating the whole vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set under the condition that the whole vehicle weight of the configuration combination to be compared is smaller than the whole vehicle weight of the reference configuration combination, updating the configuration combination to be compared into the configuration combination set, and returning to execute the step of determining a whole vehicle configuration combination with the whole vehicle weight matched with the weight condition from the configuration combination set as the reference configuration combination.
3. The method of claim 2, wherein outputting, from the plurality of vehicle configuration combinations, a configuration combination whose vehicle weight meets the weight condition, further comprises:
under the condition that the reference configuration combination is the whole vehicle configuration combination with the minimum whole vehicle weight in the configuration combination set, judging whether the option weight aiming at the target attribute is larger than the option value of the whole vehicle weight of the reference configuration combination in the configuration combination set to be compared;
if yes, calculating the vehicle weight of the configuration combination to be compared, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to execute the vehicle configuration combination which determines the vehicle weight matched with the weight condition from the configuration combination set and is used as the reference configuration combination;
if not, calculating the whole vehicle weight of the configuration combination to be compared;
under the condition that the vehicle weight of the configuration combination to be compared is larger than the vehicle weight of the reference configuration combination, deleting the reference configuration combination from the configuration combination set, updating the configuration combination to be compared into the configuration combination set, and returning to execute the determination of the vehicle configuration combination with the vehicle weight matched with the weight condition from the configuration combination set as the reference configuration combination;
under the condition that the vehicle weight of the configuration combination to be compared is not larger than that of the reference configuration combination, returning to execute the step of determining a vehicle configuration combination outside the configuration combination set from the plurality of vehicle configuration combinations as the configuration combination to be compared;
and outputting the whole vehicle configuration combination in the configuration combination set.
4. The method of claim 3, wherein calculating the full car weight for the full car configuration combination in the set of configuration combinations comprises:
the superposition sum of the option values of the whole vehicle configuration combination in the configuration combination set aiming at the option weight of the target attribute is used as the corresponding whole vehicle weight;
the calculating the vehicle weight of the configuration combination to be compared comprises the following steps:
and taking the superposition of the option values of the configuration combination to be compared with the option weight of the target attribute as the whole vehicle weight of the configuration combination to be compared.
5. The method of claim 3, wherein outputting a configuration combination from the plurality of vehicle configuration combinations for which the vehicle weight meets the weight condition further comprises:
and under the condition that the combination output number is not less than the number of the plurality of vehicle configuration combinations, calculating the vehicle weight of each vehicle configuration combination, and outputting the plurality of vehicle configuration combinations according to the sequence of vehicle weight from low to high/from high to low.
6. The method of claim 3, wherein outputting the entire vehicle configuration combination in the set of configuration combinations comprises:
and outputting the whole vehicle configuration combination in the configuration combination set in a product model mode.
7. The method of claim 1, further comprising:
and carrying out legality detection on the configuration items, and executing the option value for processing the configuration items according to the constraint conditions among the configuration items to obtain a plurality of finished automobile configuration combinations under the condition that the configuration items pass the detection.
8. An interactive product configuration system, the system comprising:
the acquisition module is used for acquiring the configuration items input by the user and the weight conditions aiming at the target attributes;
the processing module is used for processing the option values of the configuration items according to the constraint conditions among the configuration items to obtain a plurality of vehicle configuration combinations; each finished automobile configuration combination comprises a group of option values of the configuration items meeting the constraint conditions;
and the output module is used for outputting the configuration combination with the finished automobile weight meeting the weight condition from the plurality of finished automobile configuration combinations.
9. A computer readable storage medium having computer instructions stored thereon, wherein the computer instructions when executed perform the steps of the interactive product configuration method of any of claims 1 to 7.
10. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the interactive product configuration method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010511947.4A CN111681081B (en) | 2020-06-08 | 2020-06-08 | Interactive product configuration method and system, computer readable storage medium and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010511947.4A CN111681081B (en) | 2020-06-08 | 2020-06-08 | Interactive product configuration method and system, computer readable storage medium and terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111681081A true CN111681081A (en) | 2020-09-18 |
| CN111681081B CN111681081B (en) | 2023-08-01 |
Family
ID=72453995
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010511947.4A Active CN111681081B (en) | 2020-06-08 | 2020-06-08 | Interactive product configuration method and system, computer readable storage medium and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111681081B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112258242A (en) * | 2020-11-02 | 2021-01-22 | 上海汽车集团股份有限公司 | Form configuration item data pushing method and device |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003122800A (en) * | 2001-10-17 | 2003-04-25 | Nec Corp | Device for supporting design parameter decision |
| US20100185557A1 (en) * | 2005-12-16 | 2010-07-22 | Strategic Capital Network, Llc | Resource allocation techniques |
| US20140229335A1 (en) * | 2013-02-13 | 2014-08-14 | Shuang Chen | Distributed Cloud Services System and Uses Thereof |
| CN105512258A (en) * | 2015-12-02 | 2016-04-20 | 上海大学 | Intelligent configuration method for automobile generalized products |
| CN106991590A (en) * | 2017-03-17 | 2017-07-28 | 北京杰出东方文化传媒有限公司 | A kind of VR sales of automobile system |
| CN107203865A (en) * | 2017-06-15 | 2017-09-26 | 上海汽车集团股份有限公司 | The distribution method and device of a kind of order |
| CN108230094A (en) * | 2017-12-22 | 2018-06-29 | 金瓜子科技发展（北京）有限公司 | Vehicle recommends method and device |
| CN108932644A (en) * | 2017-05-26 | 2018-12-04 | 车伯乐（北京）信息科技有限公司 | A kind of user selects vehicle method, apparatus, equipment and computer-readable medium |
| CN109214850A (en) * | 2017-07-05 | 2019-01-15 | 福特全球技术公司 | The method and apparatus that vehicle purchase for Behavior-based control is recommended |
| CN110097230A (en) * | 2019-05-09 | 2019-08-06 | 上汽安吉物流股份有限公司 | Complete vehicle logistics dispatching method and device, computer-readable medium and logistics system |
| CN110390573A (en) * | 2018-04-18 | 2019-10-29 | 上海汽车集团股份有限公司 | A kind of product configuration method and device |
| CN110488707A (en) * | 2019-08-23 | 2019-11-22 | 北京汽车股份有限公司 | Configuration method, configuration device and the configuration system of vehicle |
| CN111062767A (en) * | 2018-10-16 | 2020-04-24 | 上海汽车集团股份有限公司 | Full-process C2B intelligent matching method and system |
-
2020
- 2020-06-08 CN CN202010511947.4A patent/CN111681081B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003122800A (en) * | 2001-10-17 | 2003-04-25 | Nec Corp | Device for supporting design parameter decision |
| US20100185557A1 (en) * | 2005-12-16 | 2010-07-22 | Strategic Capital Network, Llc | Resource allocation techniques |
| US20140229335A1 (en) * | 2013-02-13 | 2014-08-14 | Shuang Chen | Distributed Cloud Services System and Uses Thereof |
| CN105512258A (en) * | 2015-12-02 | 2016-04-20 | 上海大学 | Intelligent configuration method for automobile generalized products |
| CN106991590A (en) * | 2017-03-17 | 2017-07-28 | 北京杰出东方文化传媒有限公司 | A kind of VR sales of automobile system |
| CN108932644A (en) * | 2017-05-26 | 2018-12-04 | 车伯乐（北京）信息科技有限公司 | A kind of user selects vehicle method, apparatus, equipment and computer-readable medium |
| CN107203865A (en) * | 2017-06-15 | 2017-09-26 | 上海汽车集团股份有限公司 | The distribution method and device of a kind of order |
| CN109214850A (en) * | 2017-07-05 | 2019-01-15 | 福特全球技术公司 | The method and apparatus that vehicle purchase for Behavior-based control is recommended |
| CN108230094A (en) * | 2017-12-22 | 2018-06-29 | 金瓜子科技发展（北京）有限公司 | Vehicle recommends method and device |
| CN110390573A (en) * | 2018-04-18 | 2019-10-29 | 上海汽车集团股份有限公司 | A kind of product configuration method and device |
| CN111062767A (en) * | 2018-10-16 | 2020-04-24 | 上海汽车集团股份有限公司 | Full-process C2B intelligent matching method and system |
| CN110097230A (en) * | 2019-05-09 | 2019-08-06 | 上汽安吉物流股份有限公司 | Complete vehicle logistics dispatching method and device, computer-readable medium and logistics system |
| CN110488707A (en) * | 2019-08-23 | 2019-11-22 | 北京汽车股份有限公司 | Configuration method, configuration device and the configuration system of vehicle |
Non-Patent Citations (1)
| Title |
|---|
| 袁际军;黄敏镁;杨宏林;单汨源;: "客户需求动态变更驱动下的产品配置更新建模与优化" * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112258242A (en) * | 2020-11-02 | 2021-01-22 | 上海汽车集团股份有限公司 | Form configuration item data pushing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111681081B (en) | 2023-08-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9542704B2 (en) | Automatic image-based recommendations using a color palette | |
| CN107766547A (en) | E-book recommends method, electronic equipment and computer-readable storage medium | |
| US20150379006A1 (en) | Automatic image-based recommendations using a color palette | |
| WO2015200515A1 (en) | Automatic image-based recommendations using a color palette | |
| US9031967B2 (en) | Natural language processing system, method and computer program product useful for automotive data mapping | |
| US20140136278A1 (en) | Competitive price alert system with competitive price rules engine | |
| US20190213608A1 (en) | Streaming events modeling for information ranking to address new information scenarios | |
| US20090299870A1 (en) | Consumptible identification system and method | |
| CN108153889A (en) | Auto parts machinery querying method and system, electronic equipment and medium | |
| WO2014110424A1 (en) | Generating optimized solutions to complex problems | |
| CN113139654A (en) | Method and device for training neural network model | |
| KR102097045B1 (en) | Method and apparatus to recommend products reflecting characteristics of users | |
| JP2011054158A (en) | Object customization and management system | |
| EP2535852A1 (en) | Case-based retrieval framework | |
| CN111681081B (en) | Interactive product configuration method and system, computer readable storage medium and terminal | |
| US20140214690A1 (en) | Determining a counteroffer | |
| CN111340566B (en) | Commodity classification method and device, electronic equipment and storage medium | |
| TWI533249B (en) | Method and system for generating item recommandation and non-transitory medium | |
| CN108288196A (en) | A kind of recommendation method and apparatus of business object | |
| CN116595390A (en) | Commodity information processing method and electronic equipment | |
| KR102539036B1 (en) | Purchasing agent system for mass registration of product | |
| CN111681082B (en) | Interactive product configuration method and system, computer readable storage medium and terminal | |
| US7937301B2 (en) | Automatic learning for mapping spoken/text descriptions of products onto available products | |
| CN111738787A (en) | Information pushing method and device | |
| Triki et al. | Combining configuration and recommendation to enable an interactive guidance of product line configuration |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |