CN109544276A - Product type selection method and processor - Google Patents
Product type selection method and processor Download PDFInfo
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- CN109544276A CN109544276A CN201811280313.1A CN201811280313A CN109544276A CN 109544276 A CN109544276 A CN 109544276A CN 201811280313 A CN201811280313 A CN 201811280313A CN 109544276 A CN109544276 A CN 109544276A
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- 238000010187 selection method Methods 0.000 title claims abstract description 23
- 238000004378 air conditioning Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 235000013399 edible fruits Nutrition 0.000 claims description 3
- 206010063385 Intellectualisation Diseases 0.000 abstract 1
- 238000012216 screening Methods 0.000 description 2
- 238000007493 shaping process Methods 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- PCTMTFRHKVHKIS-BMFZQQSSSA-N (1s,3r,4e,6e,8e,10e,12e,14e,16e,18s,19r,20r,21s,25r,27r,30r,31r,33s,35r,37s,38r)-3-[(2r,3s,4s,5s,6r)-4-amino-3,5-dihydroxy-6-methyloxan-2-yl]oxy-19,25,27,30,31,33,35,37-octahydroxy-18,20,21-trimethyl-23-oxo-22,39-dioxabicyclo[33.3.1]nonatriaconta-4,6,8,10 Chemical compound C1C=C2C[C@@H](OS(O)(=O)=O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2.O[C@H]1[C@@H](N)[C@H](O)[C@@H](C)O[C@H]1O[C@H]1/C=C/C=C/C=C/C=C/C=C/C=C/C=C/[C@H](C)[C@@H](O)[C@@H](C)[C@H](C)OC(=O)C[C@H](O)C[C@H](O)CC[C@@H](O)[C@H](O)C[C@H](O)C[C@](O)(C[C@H](O)[C@H]2C(O)=O)O[C@H]2C1 PCTMTFRHKVHKIS-BMFZQQSSSA-N 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
Classifications
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- 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]
- G06Q30/0631—Item recommendations
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- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Stored Programmes (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a product model selection method and a processor, wherein the product model selection method comprises the following steps: step 1, inputting a type selection condition by a user; step 2, selecting the type selection result with the highest heat corresponding to the type selection condition from a sample library; and 3, determining whether the type selection result is in accordance by the user, if so, increasing the heat of the type selection result and updating the heat into the sample library. The invention memorizes and stores the model selection behavior of the user, enables the user to input the same model selection condition later, can automatically give the previous selection of the user, improves the model selection efficiency, and enables the model selection software to learn autonomously to realize intellectualization.
Description
Technical field
The present invention relates to product type selection methods, and the place for executing the corresponding computer program of product type selection method
Manage device.
Background technique
With the development of science and technology, the update of product is more and more frequent, and the product of different series different model is not
It is disconnected to be pushed out, cause the type kind of product very more.By taking air-conditioning as an example, user is selecting inside and outside type number using Selection Software
When, since Selection Software will be applicable in the type selecting demand of users group, for product classification, need to air-conditioning products system
The requirement of column, model covers comprehensively, for type selecting logic, it is desirable that follow strictly type selecting logic.Based on the two basic demands,
Simple comprehensive covering product model, the popularity Selection Software for following strictly requirements of type selecting, user using software often
There is following situation:
1, the air-conditioning products zero inventory that type selecting comes out；
2, the speed that each region causes air-conditioning products to update iteration because of factors such as economy is different, causes some regions to be selected and has eliminated
Product or completely new product.
User is caused to need to expend more energy and times to select suitable type selecting as a result, and type selecting logic list
One, inflexible, even if the product that last time type selecting comes out does not meet user demand, next time again type selecting when, can still be recommended and not meet
The product of user demand.
Summary of the invention
User behavior cannot be remembered in order to solve above-mentioned Selection Software existing in the prior art, and user is caused to need every time
The problem of more energy and time carrys out type selecting is expended, the present invention provides a kind of product type selection methods, comprising:
Step 1, user inputs type selecting condition；
Step 2, the highest type selecting result of the corresponding temperature of the type selecting condition is selected in sample database；
Step 3, user determines whether the type selecting result meets, and increases the temperature of the type selecting result if meeting and is updated to sample
In this library.
Preferably, if in sample database be not present the corresponding type selecting of the type selecting condition as a result, if execute following steps:
Step 2.1, the corresponding new type selecting result of the type selecting condition is selected from database；
Step 3.1, user determines whether the type selecting result meets, and is updated to the new type selecting result and temperature if meeting
Sample database.
Further, in the step 3 or step 3.1, if user determines that the type selecting result is not met, judge the type selecting knot
Whether fruit if from sample database if executes the step 2.1 from sample database；Otherwise by the manual type selecting of user, and by the hand
The type selecting result and its temperature of dynamic type selecting are updated to sample database.
Further, in the step 3 or step 3.1, if user determines that the type selecting result is not met, user can be by the choosing
Type result is set as not optional.
Further, in the step 3 or step 3.1, if user determines that the type selecting result is not met, and the type selecting knot
Fruit comes from sample database, while executing step 2.1, the temperature of the type selecting result is lowered and is updated to sample database.
Preferably, the sample database and user correspond, and the database is the set comprising all type selecting results.
Preferably, the sample lab setting is on the local computer.The data lab setting is on the remote server.
In the present embodiment, the temperature is selected number.
When concrete application, the product can be air-conditioning.Its type selecting condition includes engineering working condition, workload demand etc..
The present invention also proposes a kind of processor, and for executing computer program, the computer program is above-mentioned for executing
Product type selection method in technical solution.
Compared with prior art, the present invention each user can be allowed to be filtered screening to respective type selecting product, avoid
The product that type selecting comes out, is unsatisfactory for its own demand；And it is for statistical analysis to the type selecting result of each user, it generates independent
Sample database precisely locks user Chang Xuan product scope, accomplishes accurate type selecting, improves the experience of user's type selecting and type selecting efficiency.
Detailed description of the invention
Below with reference to embodiment and attached drawing, the present invention is described in detail, in which:
Fig. 1 is the flow chart of one embodiment of the invention.
Specific embodiment
Below using air-conditioner set Selection Software as the specific embodiment principle that the present invention will be described in detail.
Product of the present invention selection method, is arranged a sample database on the local computer, and the sample database and user one are a pair of
It answers, for the passing type selecting behavior of memory storage user, so that user in repetitive operation, can accurately and efficiently be supplied to
The corresponding type selecting result of user.A database is also set up simultaneously, which is the set comprising all type selecting results.
When user inputs type selecting condition (including engineering working condition, workload demand etc.), selected in sample database first
The highest type selecting of the corresponding temperature of the type selecting condition is as a result, in the present embodiment, using the number chosen by user as temperature, phase
When with type selecting condition, the type selecting result that user most often selects is supplied to user automatically.
Increase the temperature of the type selecting result if user determines that the type selecting result meets and is updated in sample database.If user
Think that the type selecting result is not met, then lowers the temperature of the type selecting result and be updated in sample database.Meanwhile providing the user with choosing
Select be arranged the type selecting result be it is not optional, such as whole models have five kinds of type products of ABCDE, and user's first produces wherein CD model
Product are set as not optional, and user's second is set as not optional to wherein E type product.User's first, can only when checking product type
View model ABE, and user's second can only view model ABCD, at the same can not the product of type selecting number be not involved in shaping recommendation.
Alternatively, the type selecting result can be deleted from sample database if user has selected not optional.
Then, it is corresponding new to continue the type selecting conditional search inputted from the database on remote server according to user
Type selecting is as a result, user determines whether the type selecting result meets, if meeting, then by the new type selecting result and its temperature update
Into sample database.If not meeting, selection is provided by the manual type selecting of user, and by the type selecting result and its temperature of the manual type selecting
It is updated to sample database.
By above-mentioned selection method, user can be filtered screening to type selecting product, in shaping recommendation, only in user
Recommended in the product possessed.And it is for statistical analysis by the result to user's type selecting, sample database is generated, user is worked as
Again when type selecting, preferential recommendation meets the model of type selecting logic and the multiple type selecting of user, improves the efficiency of user's type selecting.In addition to
Other than air-conditioning, the type selecting of other products is also within the scope of the present invention, and the present invention also protects and is used to execute the said goods
The processor of the corresponding computer program of selection method.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (12)
1. a kind of product type selection method characterized by comprising
Step 1, user inputs type selecting condition；
Step 2, the highest type selecting result of the corresponding temperature of the type selecting condition is selected in sample database；
Step 3, user determines whether the type selecting result meets, and increases the temperature of the type selecting result if meeting and is updated to sample
In this library.
2. product type selection method as described in claim 1, which is characterized in that if the type selecting condition pair is not present in sample database
The type selecting answered is as a result, then execute following steps:
Step 2.1, the corresponding new type selecting result of the type selecting condition is selected from database；
Step 3.1, user determines whether the type selecting result meets, and is updated to the new type selecting result and temperature if meeting
Sample database.
3. product type selection method as claimed in claim 2, which is characterized in that in the step 3 or step 3.1, if user is true
The fixed type selecting result is not met, and judges that the type selecting result whether from sample database, executes the step if from sample database
Rapid 2.1；Otherwise by the manual type selecting of user, and the type selecting result and its temperature of the manual type selecting are updated to sample database.
4. product type selection method as claimed in claim 3, which is characterized in that in the step 3 or step 3.1, if user is true
The fixed type selecting result is not met, and user can set not optional for the type selecting result.
5. product type selection method as claimed in claim 3, which is characterized in that in the step 3 or step 3.1, if user is true
The fixed type selecting result is not met, and the type selecting result comes from sample database, while executing step 2.1, by the type selecting knot
The temperature of fruit lowers and is updated to sample database.
6. product type selection method as described in claim 1, which is characterized in that the sample database and user correspond, described
Database is the set comprising all type selecting results.
7. product type selection method as described in claim 1, which is characterized in that the sample lab setting is on the local computer.
8. product type selection method as described in claim 1, which is characterized in that the data lab setting is on the remote server.
9. product type selection method as described in claim 1, which is characterized in that the temperature is selected number.
10. product type selection method as claimed in any one of claims 1 to 9, which is characterized in that the product is air-conditioning.
11. product type selection method as claimed in claim 10, which is characterized in that the type selecting condition includes engineering operating condition item
Part, workload demand.
12. a kind of processor, for executing computer program, the computer program is for executing such as claim 1 to 11 times
Product type selection method described in meaning one.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811280313.1A CN109544276B (en) | 2018-10-30 | 2018-10-30 | Product model selection method and processor |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811280313.1A CN109544276B (en) | 2018-10-30 | 2018-10-30 | Product model selection method and processor |
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| CN109544276A true CN109544276A (en) | 2019-03-29 |
| CN109544276B CN109544276B (en) | 2022-07-15 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111651800A (en) * | 2020-05-26 | 2020-09-11 | 上海电机学院 | Automatic model selection method for motor |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120246029A1 (en) * | 2011-03-25 | 2012-09-27 | Ventrone Mark D | Product comparison and selection system and method |
| CN102930019A (en) * | 2012-11-02 | 2013-02-13 | 沈阳建筑大学 | Type selection method and sample database of fans |
| CN103425712A (en) * | 2012-05-25 | 2013-12-04 | 珠海格力电器股份有限公司 | Engineering data processing method and system for engineering model selection |
| CN104123284A (en) * | 2013-04-24 | 2014-10-29 | 华为技术有限公司 | Recommendation method and server |
| CN107341181A (en) * | 2017-05-27 | 2017-11-10 | 武汉斗鱼网络科技有限公司 | Method, apparatus, computer-readable recording medium and computer equipment are recommended in search |
-
2018
- 2018-10-30 CN CN201811280313.1A patent/CN109544276B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120246029A1 (en) * | 2011-03-25 | 2012-09-27 | Ventrone Mark D | Product comparison and selection system and method |
| CN103425712A (en) * | 2012-05-25 | 2013-12-04 | 珠海格力电器股份有限公司 | Engineering data processing method and system for engineering model selection |
| CN102930019A (en) * | 2012-11-02 | 2013-02-13 | 沈阳建筑大学 | Type selection method and sample database of fans |
| CN104123284A (en) * | 2013-04-24 | 2014-10-29 | 华为技术有限公司 | Recommendation method and server |
| CN107341181A (en) * | 2017-05-27 | 2017-11-10 | 武汉斗鱼网络科技有限公司 | Method, apparatus, computer-readable recording medium and computer equipment are recommended in search |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111651800A (en) * | 2020-05-26 | 2020-09-11 | 上海电机学院 | Automatic model selection method for motor |
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| CN109544276B (en) | 2022-07-15 |
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