CN111223031A - Selection decision reference software system - Google Patents

Abstract

The invention provides a software system which is supported by big data analysis and processing and provides reference for selection decision. When a questioner encounters various problems and needs to make selections, the questions and the selection items can be sent through the system, the number of the selection items is more than 2, generally is not more than 4, and pictures or videos can be uploaded by the required selection items. When the answerer sees the issue of the selected question, the answerer can autonomously and selectively answer the question within the set time. Setting the time to, the system will provide statistics to the questioner, i.e., the number of choices for each option. After the questioner sees the selection data of the answerer analyzed by the system, the questioner can be used as a reference to make the final selection of the questioner. The system can give the accumulated scores ranking to the answerers with the same final options as the questioner, thereby improving the reference value of the statistical data.

Description

Selection decision reference software system

Technical Field

The invention relates to the technical field of intelligent interaction, and particularly provides a software system capable of providing reference for selection decision.

Background

Each person will experience numerous choices throughout their lifetime, large enough to marry that person and small enough to buy that clothing when shopping. The fate of each person is in fact the combination of each selection result of us, and it is very important to make the selection correctly.

However, many people have so-called selection difficulties and need to obtain suggestions from others as decision references.

At present, when people need decision reference, some random methods are often used for assisting decision making, or asking surrounding relatives and friends, or throwing coins on the front side and the back side, throwing dices, electronic wheels and the like, wherein some tools are also in a software form installed on a computer or a smart phone, but the finally suggested results are mostly random and lack data sources and scientific bases.

Therefore, we need to ask the opinion of others, and when it is used as a decision reference, there are two technical problems:

1, each person has limited time, energy and resources, so that few suggestions can be obtained within a certain time, and the value of statistical analysis is lacking;

2, people who are asked for opinions, such as relatives and friends, have no way to know the level of the opinions, and whether the opinions have reference value or not.

Due to the common existence of the two technical problems, the effect is not ideal when people need to make a selection by referring to the opinions of others.

The invention content is as follows:

in view of the above technical problems, the present invention provides a selection decision reference system. The system is designed by adopting a computer software program, is connected with the Internet, has an interface which is open to the public, contains functions of database statistical analysis and the like, can be installed on a computer or a smart phone terminal, and is convenient to use at any time.

The system collects the selection results of the answerers when encountering the same problem by setting a problem database and then setting a mode that a plurality of answerers participate in decision jointly within a certain time, and carries out statistical analysis on a large amount of data generated by the system, and then pushes the statistical results to the questioner after timing is finished.

In order to realize standardization of the choice questions and facilitate statistical analysis of a computer system, all input questions processed by the system are limited to the choice questions, namely the questions are closed, the answerers are only allowed to select from the options given by the answerers, and other suggestions cannot be given openly. The number of answer choices that the "review module" processes for each question in the system is typically no more than four.

The system accepts question input through a question module facing a questioner, and the questions passing the audit enter a question database. The database is opened to the answerers registered by the system, in the module, the answerers independently select questions to answer, and the data flow after answering enters a statistical module.

In the statistic module, the computer makes statistic analysis on the data, counts out the quantity and proportion of each option, and the processed and classified data enter the 'selection decision module'.

In the 'selection decision module' in the system, the system pushes the processed and analyzed data (the number of the answerers respectively selecting A/B/C/D) to the questioner, and the questioner finally makes own selection by referring to the data.

It should be noted that in the present invention, the questioner has sufficient discretion, and does not necessarily select the most selected option by many respondents. Such as; when selecting four different styles of garments, some questioners desire uniqueness and may also prefer to select the least preferred style by others. The greater the amount of data, the greater the value of reference to the questioner.

The system transmits the selection result data flow of the questioner of the selection decision module into an answerer scoring module, compares the selection of each answerer with the final selection data of the questioner, scores the answerer by the system when the same answerer is compared, carries out accumulated ranking in the category and gives identification to the answerer with the front ranking. Such as: the first 100 respondents in the apparel selection class are given "star" designations so that when the questioner is making the final decision, it is clear how many "star" designations are among the respondents who respectively select the four reference options of A/B/C/D. The 'star mark' mark represents the opinion of the answerer in the classification field and is widely accepted by the public due to the automatic data processing of the computer. For the questioner, the reference value for helping decision is enhanced, and the technical problem that the questioner cannot know the level and the reference value degree of the answerer is solved.

Because of the application of computer technology means, especially the application of the internet, the system can make as many answerers (which can be distributed all over the world) answer questions at the same time in a short time, thus generating hundreds and even tens of millions of big data, providing the basis of decision reference for questioners, and the larger the data volume is, the higher the value of the provided decision reference is, thus solving the technical problems of too few reference suggestions and lack of reference value.

The invention has the technical effect that when people meet any problem that selection needs to be made, the system can be very conveniently input through a computer or a smart phone, a certain time is set, and suggestions from the public all over the world can be quickly obtained. The system can display the number of the choices of each option, wherein the number of the choices is the number of the respondents with the star marks (the star marks indicate that the suggestions of the respondents in the field are widely accepted), and the questioner can be used as a reference according to the statistical data to finally make a self-selection decision.

Description of the drawings:

while the drawings that accompany the detailed description can be briefly described as being useful for better understanding of the invention, it should be apparent that the drawings described below are merely exemplary embodiments of the invention and that other drawings can be derived by those skilled in the art without inventive step.

FIG. 1 is a functional block diagram of the system of the present invention

Detailed Description

The present invention will be described in detail with reference to fig. 1.

In the legend 1-is a data statistics pie chart.

The system mainly comprises the following modules: the system comprises a questioning module/a background questioning and answering processing module/a statistical module/a selection decision module and an answerer scoring module, wherein the questioning template comprises a question auditing module, and the background questioning and answering processing module is divided into a question database module and an answer registration module.

The question module accepts the input situation question and the selection items of the questioner, the selection items must be more than 2, usually not more than 4, and the pictures or videos can be uploaded as required.

If the questioner encounters a question, a choice needs to be made: i buy a skirt shopping, should I buy red, yellow, blue, white?

When the system receives the input of question questions, the system sets the category of question affiliation, such as daily life category/marital category/studying category/job hunting category/shopping category, etc.,

after the system receives an input problem, the system enters a problem auditing module, background manual or intelligent auditing is carried out by using keywords, and the auditing mainly comprises two key points:

1, asking whether a proper classification is selected;

2, whether or not the content contains illegal or bad content

If an inappropriate question or content is found, the question is not passed, and a return prompt is provided for correction or rejection.

After the examination is passed, the system prompts the questioner to select and set a certain validity period, namely answering time.

When the question is approved and the effective answering time is set, the question is confirmed to be qualified by the system.

If the question of questioner one is: (class of everyday life) i now shopping for a skirt choosing (a) red, (B) yellow, (C) blue, (D) white answer was ten minutes.

Qualified questions will enter the "question database module" of the system.

In the "question database module", a category class stores a plurality of questions (choice questions) of a plurality of questioners (one to M), which have different expiration times.

The system registration system port is opened to the public, and the answerer is authorized to access the 'question database module' after the answerer is effectively registered by the system "

In the whole 'background question-answer processing module', the registered answerers can independently select answers and input data, and answer data obtained by the module is uniformly processed by the system.

In the figure, the number of questioners is 4 to M, actually several hundreds to several tens of millions, in the figure, the number of answerers is 3 to N, actually several hundreds to several tens of millions are shown in the figure: the first answerer selects the questions of the first questioner, the second questioner and the fourth questioner;

the second answerer selects the question of the second questioner;

the third answerer selects the questions of the first questioner and the third questioner

Of course, the same questioner may ask multiple questions simultaneously, as long as the system passes review.

The question and answer data continuously enter a 'statistic module', and after the set time of each question is up, the number of the choices of each choice of each question responder is counted and output, namely a data statistic pie chart.

Taking the question of questioner one as an example, the number and the proportion of A/B/C/D selected by the answerer respectively are counted. The system continues to import the counted data into a 'selection decision module', and in the module, a questioner can make a final selection on a question proposed by the questioner by referring to a data statistics pie chart, so that a selection decision is realized.

The final selection result of the questioner I (only one item in A/B/C/D) is imported into an 'answerer scoring module', in the module, the system compares the data with answerer answer data from a 'background question-answering processing module', the answerer and the questioner final option are consistent, and scoring ranking is given. The answers are given the "star" designation, with the cumulative ranking in each question category leading up.

The following is illustrated by an example:

take the question of questioner one as an example: (class of everyday life) i now shopping a skirt, and after the set time of selecting (B) red (B) yellow (C) blue (D) white, the system will display the following results to the questioner:

total number of answers: 2568

Respectively selecting A855 (wherein the number of the star marks is 8)

Select B200 (wherein the star number is 3)

Choose C1200 (wherein the star number is 35)

D313 (wherein the star number is 18)

Referring to the above comments, the final questioner selects D (white skirt) as soon as the questioner prefers the products of the smaller population, and although the number of people who select D is small, the ratio of "star mark" is high, and represents the opinion of the expert to some extent. Of course, different questioners may have different preference preferences.

In this example, in the answerer scoring module, 313 answerers that are the same as the final choice D of the questioner would be scored in the "dress selection" category, the total score would be accumulated to participate in the ranking of this category, the top several will be ranked, and the system would be given the "star" designation.

Through the technical means, the system can be installed on the intelligent handheld terminal, and big data statistics and analysis are adopted, so that big data reference can be rapidly provided for decision makers needing to make various choices, and the technical problems of no basis and random choice of decision making in the past can be solved.

The above examples are only examples of the present invention, and some of the proposed options may be more than four, and the specific examples are not intended to limit the present invention, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included within the protection scope of the present invention.

Claims (6)

1. A selection decision reference software system is characterized in that the selection decision reference software system is installed on a computer or a smart phone terminal and is connected with the Internet. When a user of the system meets various problems and needs to make a selection, the system sends the problems and selection items, the number of the selection items is more than 2, usually is not more than 4, when answerers in various parts of the world see the release of the selection items, the selection items can be answered within set time, then the system analyzes and processes big data, data results are pushed to a user questioner, and the questioner sees a large number of counted data results and then selects a decision as a reference.

2. A selective decision reference software system as claimed in claim 1, wherein the user of the system is required to register as a member.

3. The system according to claim 1, wherein the user is required to select a category, such as marital category, science-seeking category, job-seeking category, shopping category, etc., when asking for a question, and a certain validity period, i.e. answering time, is set.

4. The system of claim 1, wherein the user can upload a picture or video presentation in addition to text if desired when asking a question.

5. The system of claim 1, wherein the system scores the respondents according to the degree of match between each respondent and each final choice of questioner, and ranks them according to the accumulated scores over a period of time.

6. The selection decision reference software system according to claim 5, wherein the questioner, upon referring to the results of the answer data of each answerer, can see the history of past answers of each answerer, which history shows how well the proposed answers of the answerer were accepted by the past questioner.

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