TW201828235A - Distributed system, computer program, computer readable medium and method for symposium thesis submission - Google Patents

Abstract

A distributed symposium thesis submission method includes: a selection factor determination subsystem selecting at least one submission intention factor exceeding a threshold value, a selection determination support subsystem accepting user input of at least one submission intention target subject to the at least one submission intention factor, a semantic analyzer subsystem executing a semantic analysis procedure according to input of a keyword and generating at least one analysis result, and a distributed cluster-computation subsystem comparing the analysis result and a plurality of symposium themes in a symposium thesis database, selecting at least one symposium theme and generating a list of matched symposium themes. The disclosure also provides a system, computer program and computer readable medium performing the method.

Description

Decentralized seminar paper submission methods, systems, computer programs and computer readable media

The invention relates to a method, a system, a computer program and a computer readable medium for recommending a distributed seminar paper, in particular to screening a submission intention factor exceeding a threshold value through a questionnaire module and a factor screening module, and then according to The contributor selects the invention of the recommendation list that meets the goal of submission submission in accordance with the goal of submission submission.

According to scholars and experts, such as professors, teachers, postgraduates or developers in the R&D industry, who are in the academic field, when inventing research or discussing a kind of information, products, phenomena or arguments, they can be made into reference materials. When the materials and papers need to be published or published, their scholars and experts will publish them through certain channels, and the submission method is also one; therefore, when the contributors are delivering the papers, they will also make delivery actions for specific seminars. However, it is important for contributors to pay attention to which papers are discussed, researched or included in each seminar at this stage, because these factors will affect the submission of the papers, and when selecting a specific seminar for submission, it is awaiting review. Procedures such as revision or return, so in the coming and going times, sometimes the best seminar papers are missed.

In order to solve the aforementioned shortcomings, the present invention provides a method for recommending a distributed seminar paper submission, and constructs a network recommendation platform, which includes a recommendation factor screening subsystem, a recommendation decision support subsystem, and a semantic analysis. Subsystem, a cluster computing decentralized subsystem, and a seminar paper database, and perform the following steps:

The recommendation factor screening subsystem comprises a questionnaire module and a factor screening module. According to the plurality of submission intention factors provided by the questionnaire module, the questionnaire module comprises a preset plurality of submission intention factors, which are multiple The user selects a satisfaction score for each of the above-mentioned submission intention factors, and counts each user's satisfaction score for each submission intention factor, and uses the factor screening module to give a threshold value, thereby screening out the One or more of the above-mentioned submission intention factors; the recommendation decision support subsystem displays the selected one or more submission intention factors for a contributor to relatively input one or more submission intention targets according to the one or more submission intention factors; the semantic analysis A vocabulary and a semantic module are built in the subsystem, and a keyword is input in the semantic module, and the keyword and the plural vocabulary in the vocabulary are subjected to a semantic comparison program through the semantic module, thereby generating at least one Alignment result; the cluster computing decentralized subsystem has a keyword library built in, and the comparison result will be stored in the Key library, the cluster computing decentralized subsystem compares the comparison result with the name of each seminar in the plural seminar name of the seminar paper database, and selects one or more seminars that meet the comparison result. The name of the meeting, and then compares the name of the one or more seminars selected by the screening to meet the goal of the submission, and outputs the name of the one or more seminars that meet the goal of the submission as a recommended list.

Among them, the contribution will factor includes whether one of the following options affects the willingness to submit: language, number of papers included in the seminar, review time, and seminar country.

Wherein, the recommendation decision support subsystem gives each one weight value of the one or more submission willing factors; the cluster computing distributed subsystem weights the one or more seminar names that meet the submission intention target according to the weight value, and further Produce a list of recommendations with sorted results.

The invention further provides a system for recommending a distributed seminar paper submission, comprising: a network recommendation platform, comprising: a recommendation factor screening subsystem, comprising a questionnaire module and a factor screening module, the questionnaire The survey module includes a preset plurality of submission intention factors; a recommendation decision support subsystem connected to the recommendation factor screening subsystem; a semantic analysis subsystem, a built-in vocabulary and a semantic module; and a cluster operation decentralized a subsystem, a built-in keyword library, the cluster computing distributed subsystem is respectively connected to the recommendation decision support subsystem and the semantic analysis subsystem; a seminar paper database, connected to the cluster computing distributed subsystem; The display interface is connected to the network recommendation platform; a plurality of users select a satisfaction score for each of the submission intention factors, and count the satisfaction score of each user for each submission intention factor, and use the factor The screening module gives a threshold value to filter out one or more of the aforementioned submission intention factors exceeding the threshold value; the recommendation decision The aid subsystem displays the one or more submission intention factors selected by the subsystem, and the one submission side relatively inputs one or more submission intention targets according to the one or more submission intention factors; when the semantic module inputs a keyword, the keyword and the The plural vocabulary in the vocabulary performs a semantic comparison program through the semantic module, thereby generating at least one comparison result, and the comparison result is stored in the keyword library, and the cluster computing distributed subsystem compares the lexical The results are compared with the names of the multiple seminars in the seminar paper database, and the names of each seminar are compared. The names of more than one seminars that match the comparison results are selected, and the selected seminars are compared. Whether the name meets the goal of the submission intention, and outputting the name of the one or more seminars that meet the goal of the submission will be a recommendation list, and the recommendation list is displayed by the display interface.

Among them, the contribution will factor includes whether one of the following options affects the willingness to submit: language, number of papers included in the seminar, review time, and seminar country.

Wherein, the recommendation decision support subsystem gives each one weight value of the one or more submission willing factors; the cluster computing distributed subsystem weights the one or more seminar names that meet the submission intention target according to the weight value, and further Produce a list of recommendations with sorted results.

The present invention can also be a computer program for execution by a computer system and completion of the above-mentioned decentralized seminar paper submission recommendation method.

The present invention can also be a computer readable medium for loading a computer system into a computer program to execute, and completing the above-mentioned method for recommending a distributed seminar paper submission.

According to the above technical features, the following effects can be achieved:

1. The present invention can further extract the name of the seminar that can be submitted by the contributor according to the keyword, and further filter through the cluster computing decentralized subsystem to determine whether the contributor's intention to contribute is met, and the name of the seminar that meets the goal of the submission will be selected. The output is compiled into a list of recommendations to produce characteristics that are consistent with the seminars required by the contributor.

2. The contribution intention of the contributor is obtained according to the submission willing factor selected by the questionnaire module and the factor screening module of the recommendation factor screening subsystem, that is, the submission intention factor with higher user satisfaction is obtained. Contributors are selected according to their own willingness to contribute, in order to meet the characteristics of the seminars required by the contributors.

In combination with the above technical features, the main effects of the method and system for recommending a distributed seminar paper submission will be clearly shown in the following embodiments.

Referring to the first figure and the second figure, the system for recommending a distributed seminar paper submission includes a network recommendation platform (1) and a display interface (3). The network recommendation platform (1) )contain:

A recommendation factor screening subsystem (11), the recommendation factor screening subsystem (11) includes a questionnaire module (111) and a factor screening module (112).

A recommendation decision support subsystem (12) is coupled to the recommendation factor screening subsystem (11).

A semantic analysis subsystem (13), the semantic analysis subsystem (13) has a built-in vocabulary (131) and a semantic module (132).

a cluster computing distributed subsystem (14), the cluster computing distributed subsystem (14) has a built-in keyword library (141), and the cluster computing distributed subsystem (14) is respectively connected to the recommended decision support subsystem ( 12) and the semantic analysis subsystem (13).

A seminar paper database (15) is connected to the cluster computing distributed subsystem (14).

The display interface (3) is connected to the network recommendation platform (1), and the recommendation list (2) is displayed by the display interface (3).

The display interface (3) includes a television, a computer, a mobile phone, and a wearable device.

First, according to the plurality of submission intention factors provided by the questionnaire module (111), a plurality of users select a satisfaction score for each submission intention factor, and count each user's satisfaction with each submission intention factor. The score is used by the screening module (112) to give a threshold [the threshold is a system preset], thereby filtering out one or more submission intention factors exceeding the threshold.

The above operation mode is as follows: as shown in the fourth figure and the fifth figure, the questionnaire interface of the questionnaire module entering the recommendation factor screening subsystem [eg, the fourth picture], the user is in the questionnaire interface Enter the basic information of the individual [eg school and department, contact information, job title, research experience, research area, degree, age, gender, etc.] and select more than one satisfaction score for the submission factor [eg: seminar The inclusion of the language category will affect whether I choose it as the target of the submission, the number of papers included in the seminar will affect whether I choose it as the target of the submission, the review time of the seminar will affect whether I choose it as the target of the submission, the seminar country To influence whether I choose it as a bidding option, press the "Send" button in the survey interface.

The recommendation factor screening subsystem generates a factor screening interface of the factor screening module of the recommendation factor screening subsystem according to the basic information of the user and the satisfaction score selected by the submission intention factor, so as to know each submission intention The satisfaction status of the factor, in order to know the importance of each user for each factor [eg: the choice of the first respondent for the option (the inclusion language category of the seminar will affect whether I choose it as the target) 5 points, indicating that it is very important for the interviewee (the inclusion language category of the seminar will affect whether I choose it as the target). (As shown in the fifth figure).

After the invention screens the interface through the factoring, the contributor can obtain different types of statistics for different [schools, departments, titles, research experiences, research fields, degrees, ages, genders, etc.], for example: the contributor is College students, in order to understand the satisfaction of the general college students' submissions, can select the degree as a "Bachelor" through the questionnaire survey interface, and then obtain the information of the general college students' satisfaction with each submission intention factor, so as to provide the contributor as a reference for submission. .

Among them, the contribution will factor includes whether one of the following options affects the willingness to submit: language, number of papers included in the seminar, review time, and seminar country.

The recommendation decision support subsystem (12) displays the filtered one or more submission intention factors for a contributor to relatively input one or more submission intention targets according to the one or more submission willing factors, and the recommendation decision support subsystem (12) Each of the one or more submission willingness factors is given a weight value.

Entering a keyword in the semantic module (132), and the keyword and the plural vocabulary in the vocabulary (131) perform a semantic comparison procedure through the semantic module (132), thereby generating at least one comparison result. And storing the comparison result in the keyword library (141), the cluster computing distributed subsystem (14) and the comparison result and the seminar seminar database (15) each of the plural seminar names The names of the seminars are compared, and the names of more than one seminars that match the results of the comparison are screened, and whether the name of the one or more seminars selected by the comparison is consistent with the goal of the submission will meet the target of the submission intention. The above seminar name is weighted according to the weight value, thereby generating the recommendation list (2) with the sort result.

Please refer to the third figure. Users can find out from the latest news interface which forums are currently open for submission and the date of publication of the news, so as to provide users with the latest information and reduce users' online space. When searching for too much time, if there is too much information in the seminar, the keywords in the user interface can be entered in the latest news interface, so as to shorten the time for finding related seminars.

Please refer to the sixth and seventh figures. The contributor then uses the simple interface [eg, the sixth picture]. The contributor enters some relevant information in the simple interface, for example: select in the language (English), in the collection Select EI (Engineering Index) in the database, and select the information from December 1, 2014 to December 31, 2014 in the submission date, and then press the button "Send" in the simple interface to obtain the recommendation list. Auxiliary contributor's reference for submission.

Referring to the eighth and ninth diagrams, the contributor selects a plurality of the weight scores in the advanced interface of the recommendation decision support subsystem [eg, in language selection (English) and weight 10, in the collection database). Select (CEPS) and weight 10, fill in the name of the seminar (information), set the weight score to 30, submit the topic selection (information security), the weight score is "20", etc.], the contributor can also Adjust the different weight scores, then press the “send” button in the advanced interface, and multiple recommendation lists will be generated under the advanced interface [eg, the ninth map], and the survey interface will be submitted according to the seminar. The selected option and the weight score input by the advanced interface generate relevance indicators and are sorted according to the relevance index, and the contributor can select a seminar of interest according to the relevance index [eg, National Information Security Conference, The relevance index is 98%, indicating that the seminar is in line with the seminars that the contributors want to contribute; while the information technology and industrial application seminars have only 35% correlation indicators, indicating that the seminar is not in line with the vote. Submission of the seminar were the desired target].

Please refer to the tenth figure. When the above contributor selects one of the seminars [seminar name: National Information Security Conference], the interface of the recommendation decision support subsystem will present information about the seminar selected by the contributor. [eg: submission date, seminar date, latest news, etc.].

In view of the above description of the embodiments, the operation, use, and effects of the present invention can be fully understood. However, the above-mentioned embodiments are merely preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, that is, simple equivalent changes and modifications according to the scope of the present invention and the description of the invention are It is within the scope of the invention.

(1)‧‧‧Network recommendation platform

(11) ‧‧‧Recommended factor screening subsystem

(111)‧‧‧ Questionnaire Module

(112)‧‧‧ factor screening module

(12) ‧‧‧Recommended decision support subsystem

(13) ‧ ‧ semantic analysis subsystem

(131) ‧ ‧ vocabulary

(132) ‧ ‧ semantic module

(14) ‧‧‧ cluster computing decentralized subsystem

(141)‧‧‧Keyword Library

(15) ‧ ‧ seminar paper database

(2) ‧‧‧Recommended list

(3)‧‧‧Display interface

[First figure] is a schematic diagram 1 of the architecture of the present invention, illustrating the subsystems of the network recommendation platform. [Second figure] is a schematic diagram 2 of the architecture of the present invention, illustrating the action relationship of each subsystem when the method of the present invention is executed. [Third Figure] is a schematic diagram 1 of the present invention, illustrating the questionnaire interface of the present invention, thereby providing the user with a satisfaction score for each submission willingness factor. [Fourth figure] is a schematic diagram 2 of the implementation of the present invention, illustrating the factor screening interface of the present invention for counting the satisfaction score of each user for each submission intention factor. [Fifth Figure] is a schematic diagram of the implementation of the present invention, illustrating the latest message interface of the present invention, so as to know the latest news of the current seminar. [Sixth Drawing] is a schematic diagram of the implementation of the present invention, illustrating a simple interface of the recommendation decision support subsystem of the present invention, and inputting relevant information, such as language, inclusion database, submission date, and the like. [Seventh] is a schematic diagram of the implementation of the present invention, which illustrates a recommendation list generated by the distributed computing subsystem of the present invention based on the simple interface input of the recommendation decision support subsystem. [Embodiment 8] is a sixth embodiment of the present invention, illustrating an advanced interface of the recommendation decision support subsystem of the present invention, and the weight value of each submission intention factor can be adjusted. [Ninth aspect] is a schematic diagram of the implementation of the present invention. The cluster computing decentralized subsystem generates a seminar with the highest relevance index according to the weight value set by the user, and lists the recommendations according to the relevance index. [Tenth Graph] is a schematic diagram of the implementation of the present invention, and illustrates the content of the seminar with the highest relevance index.

Claims (8)

A decentralized seminar paper submission recommendation method is to construct a network recommendation platform, which includes a recommendation factor screening subsystem, a recommendation decision support subsystem, a semantic analysis subsystem, and a cluster computing decentralized a subsystem and a seminar paper database, and performing the following steps: The recommendation factor screening subsystem comprises a questionnaire module and a factor screening module, the questionnaire module includes a preset plurality of submission intention factors, A plurality of users select a satisfaction score for each of the submission intention factors, and count each user's satisfaction score for each submission intention factor, and use the factor screening module to give a threshold value, thereby screening out One or more of the submission intention factors exceeding the threshold value; the recommendation decision support subsystem displays the filtered one or more submission willing factors for a contributor to relatively input one or more submission intention targets according to the one or more submission intention factors; The semantic analysis subsystem has a built-in vocabulary and a semantic module, which is lost in the semantic module. a keyword, the keyword and the plural vocabulary in the vocabulary are subjected to a semantic comparison program through the semantic module, thereby generating at least one comparison result; the cluster computing distributed subsystem has a keyword library built therein, The comparison result will be stored in the keyword library, and the cluster computing distributed subsystem compares the comparison result with the name of each seminar in the plural seminar name of the seminar paper database, and selects the name of each seminar. The name of one or more seminars that meets the comparison result is compared with the selected one or more seminar names to meet the submission intention goal, and the name of the one or more seminars meeting the goal of the submission will be output into a recommendation list. For example, the method for recommending the contribution of the distributed seminar papers mentioned in the first paragraph of the patent application, wherein the contribution will factor includes whether one of the following options affects the willingness to submit: language, number of papers collected in the seminar, review time and discussion Will be a country. The method for recommending a distributed seminar paper submission according to claim 1, wherein the recommendation decision support subsystem gives each one weight value of the one or more submission willing factors; the cluster computing distributed subsystem will The name of the one or more seminars that meet the goal of the submission will be weighted according to the weight value, thereby generating a recommended list with the sorted results. A decentralized seminar paper submission recommendation system includes: a network recommendation platform, comprising: a recommendation factor screening subsystem, comprising a questionnaire module and a factor screening module, the questionnaire module includes There is a preset plural contribution willing factor; a recommendation decision support subsystem connecting the recommendation factor screening subsystem; a semantic analysis subsystem, a built-in vocabulary and a semantic module; a cluster computing distributed subsystem, a built-in keyword library, the cluster computing distributed subsystem is respectively connected to the recommendation decision support subsystem and the semantic analysis subsystem; a seminar paper database, connected to the cluster computing distributed subsystem; a display interface, a system Connecting the network recommendation platform; selecting, by the plurality of users, a satisfaction score for each of the submission intention factors, and counting the satisfaction score of each user for each submission intention factor, and using the factor screening module to Determining a threshold value to select one or more of the aforementioned submission intention factors exceeding the threshold value; the recommendation decision supporter The one or more submission intention factors selected by the system are displayed, and one submission side relatively inputs one or more submission intention targets according to the one or more submission intention factors; when the semantic module inputs a keyword, the keyword and the vocabulary The plural vocabulary within the semantic module performs a semantic comparison program to generate at least one alignment result, and the comparison result is stored in the keyword library, and the cluster computing distributed subsystem compares the comparison result with In the name of the plural seminar of the seminar paper database, each seminar name is compared, and the name of one or more seminars that match the comparison result is selected, and the name of the one or more seminars selected is compared. In accordance with the goal of the submission intention, the name of the one or more seminars meeting the goal of the submission will be output into a recommendation list, and the recommendation list is displayed by the display interface. For example, the system for submitting recommendations for the decentralized seminar papers mentioned in item 4 of the patent application scope, wherein the contribution intention factor includes whether one of the following options affects the willingness to submit: language, number of papers collected in the seminar, review time, and discussion Will be a country. A system for recommending a distributed seminar paper submission as described in claim 4, wherein the recommendation decision support subsystem gives each one weight value of the one or more submission willing factors; the cluster computing distributed subsystem will The name of the one or more seminars that meet the goal of the submission will be weighted according to the weight value, thereby generating a recommended list with the sorted results. A computer program for execution by a computer system and completion of a method for recommending a distributed seminar paper as described in any one of claims 1 to 3. A computer readable medium for loading a computer system into a computer program for execution, and completing a method for recommending a distributed seminar paper as described in any one of claims 1 to 3.