KR20040042012A - System and method for recommend textile pattern using sensibility vocabulary - Google Patents

Abstract

PURPOSE: A system and a method for recommending a textile pattern using a sensitive vocabulary are provided to recommend an optimal design fit to a propensity of each customer by analyzing the sense of the customer and a factor of the textile design through the sensitive vocabulary. CONSTITUTION: An input module(200) receives the sensitive vocabulary fit the sense of a user. A user information managing module(300) judges the propensity of the user through the inputted sensitive vocabulary. A user information database(120) stores the propensity of the user. A textile pattern database(140) stores the information of various textile patterns. A textile pattern managing module(400) extracts the textile pattern fit to the propensity of the user from the textile pattern database. A sensitive vocabulary database(160) stores the information for various sensitive vocabularies. A sensitive vocabulary managing module(500) makes the user select the sensitive vocabulary by presenting the sensitive vocabulary extracted from the database. A textile pattern providing module(600) predicts/provides the textile pattern preferred by the user by receiving the information from teach module.

Description

System and method for recommending textile pattern using emotional vocabulary {System and method for recommend textile pattern using sensibility vocabulary}

The present invention relates to a textile pattern recommendation system and method using emotional vocabulary, and more particularly, to express human emotions that are insufficient to be expressed in one vocabulary using various emotional vocabulary, and similarly, the emotional vocabulary may be used. The present invention relates to a textile pattern recommendation system and method using an emotional vocabulary that predicts emotion and provides a textile corresponding to the predicted emotion.

Conventional design recommendation system is to classify designs in order that users prefer by constructing database with design information, and make recommendations by prioritizing designs preferred by many users. Since the recommendation is made, personal preferences or preferences are not reflected, and it is difficult to recommend a design that can satisfy each user.

By improving this, a system is proposed that connects a design database with a demand emotion database to generate emotions according to individual requests in real time. The demand emotion of a plurality of users is collected, databased, and connected with a conventional design database.

The emotions provided by such a system are extremely subjective emotions, which makes it difficult to evaluate objectively, and can be seen as a result of using the median of average consumer emotions as average emotions, which is insufficient to satisfy the needs of a few unique consumers. There is a problem.

Therefore, the present invention is to solve such a conventional problem, an object of the present invention is to analyze the emotion of the consumer through the emotional vocabulary, reconstructed to analyze the elements of the textile design and database them, each consumer's propensity To provide a system that recommends the best design for your needs.

Other objects and features of the present invention will be more clearly understood through the preferred embodiments described below.

1 is a block diagram showing a textile pattern recommendation system using the emotional vocabulary according to the present invention.

2 is a flowchart showing a method of recommending a textile pattern using the emotional vocabulary according to the present invention.

3 is a flowchart showing a method of extracting a representative emotional vocabulary applied to the present invention.

4 is a view showing an embodiment of a method for collecting emotional vocabulary applied to the present invention.

5A to 5C are diagrams for explaining a method of using a textile pattern recommendation system using the emotional vocabulary according to the present invention.

According to an aspect of the present invention, an input module for receiving an emotional vocabulary corresponding to his or her emotion from the user, a user information management module for determining the user's disposition through the emotional vocabulary provided from the input module, and storing the user's disposition A user information database, a textile pattern database that stores information of various textile patterns, a textile pattern management module that extracts a textile pattern that matches the user's preferences from the textile pattern database, an emotional vocabulary database that stores information of various emotional vocabularies, Emotional vocabulary management module, user information management module, textile pattern management module, and emotional vocabulary management module that present and select emotional vocabulary extracted from emotional vocabulary database. Is a textile pattern like system using the emotional vocabulary, characterized in that for controlling data input and output of the module provides a textile pattern, each of the database, and a control module that controls the functions of each module are provided.

In addition, the user information management module allows the user to express emotions for one or more textile patterns in an emotional vocabulary, extract similar groups with similar preferences to the user, and determine the propensity of the user based on the propensity of the similar groups. It features.

In addition, the textile pattern providing module allows the user to select a plurality of emotional vocabularies presented by the emotional vocabulary management module by ranking, and then analyzes the emotional vocabularies by ranking, the user's propensity, and the propensity of similar groups. Provide one or more textile patterns to the user.

In addition, the textile pattern providing module defines the similarity weight by Equation 1, calculates the similarity weight of the user by Equation 1, extracts other users whose age and gender are similar to the user, and extracts the similarity of the extracted other users. After the weight is calculated by Equation 1, the textile pattern is provided to the user based on the propensity of other users having high similarity between the user and the similarity weight.

Equation 1

a, i: user

j: Textile pattern in which users a and i have a common preference

m: total number of textile patterns

: Propensity that user a showed for textile pattern

: Average value of propensity for textile pattern entered by user a

: Propensity that user i showed about textile patterns

: Mean value of propensity for textile pattern entered by user i

Preferably, the apparatus may further include a textile visual element adjusting module providing a means for adjusting in detail the visual element of the textile pattern provided to the user through the textile pattern providing module.

According to another aspect of the present invention, a step of evaluating a personal emotion that a plurality of evaluators feel about a plurality of preset textile patterns with an emotional vocabulary, extracting a representative emotional vocabulary for each textile pattern evaluated by the evaluator By presenting one or more textile patterns to the user to express their emotions in the emotional vocabulary, judging the user's propensity and storing them in a database, various emotional vocabularies are presented to the user, and the user has the emotional Inputting the vocabulary by rank, analyzing the user's disposition, the representative emotional vocabulary, and the emotional vocabulary according to the rank selected by the user, predicting the user's preferred textile pattern, and providing the user to the user. Disclosed is a method of recommending a textile pattern using an emotional vocabulary.

Preferably, when there is no emotional vocabulary corresponding to the user's emotion, the method may further include providing a textile pattern to the user to select directly based on the information evaluated by the evaluator.

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings.

1 is a block diagram showing a textile pattern recommendation system using the emotional vocabulary according to the present invention.

Textile pattern recommendation system using the emotional vocabulary according to the present invention of each module

A control module 100 for controlling functions, an input module 200 for receiving an emotional vocabulary from a user, a user information management module 300 for determining and managing a user's disposition, and a textile pattern management module for managing various textile patterns ( 400), the emotional vocabulary management module 500 for managing various emotional vocabulary, the textile pattern providing module 600 for predicting and providing the user's preferred textile pattern, the textile visual element adjusting module for adjusting the visual elements of the textile ( 700), and the interaction of each module makes a recommendation of textiles to the user.

The control module 100 manages one or more databases, controls data input and output to each database, and controls functions of each module.

In an embodiment of the present invention, the control module 100 manages the user information database 120, the textile pattern database 140, the emotional vocabulary database 160, and each database is more subdivided or more broadly configured by details. can do.

The user information database 120 stores personal information and propensity of the user, the textile pattern database 140 stores information on various textile patterns, and the emotional vocabulary database 160 stores information on various emotional words. .

The input module 200 receives an emotional vocabulary by inducing a user to input an emotional vocabulary according to his or her emotion in order to determine a user's disposition or to provide a textile pattern corresponding to the user's emotion.

The user information management module 300 is provided with an emotional vocabulary selected by the user from the input module 200, and determines the user's disposition through the emotional vocabulary and stores it in the user information database 120.

For example, the propensity determination of the user may present the selected three textile patterns to the user from among a total of 60 textile patterns, and allow the user to select from among a plurality of emotional vocabulary. The selected emotional vocabulary is used to extract similar groups with similar tendencies among other users, to predict the emotional vocabulary that the user will choose for 57 textile patterns not presented to the user, and the propensity and predicted sensitivity of the similar group. Analyze the user's disposition.

The textile pattern management module 400 stores and manages various textile patterns in the textile pattern database 140, analyzes and classifies each textile pattern, and receives the user's propensity from the user information management module 300. Extract textiles that suit your preference.

The textile pattern is classified into four categories of imaginary, natural, geometric, and artificial, and divided into each category and stored in the textile pattern database 140.

The emotional vocabulary management module 500 stores and manages the emotional vocabulary expressing various emotions in the emotional vocabulary database 160, analyzes and classifies each emotional vocabulary, and provides the emotional vocabulary to the user to allow the user to have his or her inclination. Emotional vocabulary to choose from.

Textile pattern providing module 600 is a user's propensity provided from the user information management module 300, the textile pattern information provided from the textile pattern management module 400, the emotional vocabulary provided from the emotional vocabulary management module 500 Analyzes the information, reflects the information, predicts the user's favorite textile pattern, and provides the user with the predicted textile pattern.

In order to be provided with the textile pattern, the user selects the emotional words extracted from the emotional vocabulary management module 500 by ranking, for example, a preferred order of the first to fifth ranks among the plurality of emotional vocabularies presented in the drop-down list. To select.

Preferably, the textile pattern providing module 600 defines the similarity weight by Equation 1, calculates the similarity weight of the user by Equation 1, extracts other users whose gender and age are similar to the user, and then extracts them. Similarity weights are calculated using Equation 1 only for other users.

Similarity weights can be calculated for all other users, but it is not desirable in terms of performance and accuracy because it can cause overhead by overwhelming the system.

The Pearson correlation coefficient is used to define and calculate the similarity weight P (a, i) between a user and another user.

Equation 1

a and i represent different users, j is a textile pattern in which users a and i have a common preference, and m is the total number of textile patterns.

Also, Is the propensity that user a showed for textile pattern j, Is the average value of the propensity for the textile pattern entered by user a, Is the propensity that user i showed for textile pattern j, Is the average value of the propensity for the textile pattern input by the user i.

As a method for predicting a textile pattern that a user is expected to be interested in, a similar group having similar gender and age to the user is extracted, and a recommendation is made based on the preferences of other users having similar preferences among the extracted similar groups. It is preferable.

The textile visual element adjustment module 700 adjusts visual elements such as color, saturation, brightness, and texture of the textile. After the textile pattern expressed as a basic visual element is provided to the user, the visual element of the textile pattern is described in more detail. It provides a means for adjustment and adjusts the visual elements of the textile again according to the data changed by the user.

In addition, the changed textile pattern is stored in the textile pattern database 140 to form a new textile pattern, it is preferable to have a more diverse textile pattern.

2 is a flowchart showing a method of recommending a textile pattern using the emotional vocabulary according to the present invention.

A plurality of evaluators selects and evaluates the presented emotional vocabulary for a plurality of preset textile patterns (step S10), and analyzes the emotional vocabulary for the evaluated textile pattern, thereby representing a representative emotional vocabulary corresponding to each textile pattern. To extract the representative emotional vocabulary is stored in the emotional vocabulary database 160 (step S20).

As with the evaluator's textile pattern evaluation, the user presents one or more textile patterns to select and evaluate the emotional vocabulary according to his or her emotion (step S30), and judges the user's disposition through the emotional vocabulary evaluated by the user. (Step S40).

The user inputs the emotional vocabulary corresponding to the textile pattern to be provided by ranking (steps S50 to S60), and analyzes the pre-determined user's propensity and the emotional vocabulary input by the user to find a textile pattern corresponding to the user's propensity. The prediction is provided (step S80).

When a user enters an emotional vocabulary by rank, if the emotional vocabulary corresponding to his or her emotion does not exist, the user may selectively present the textile pattern evaluated by a plurality of evaluators to allow the user to correspond to his or her emotion. To directly select the textile pattern (steps S50 and S70), and analyzes the pre-determined user's propensity and the directly selected textile pattern to predict and provide a textile pattern that matches the user's propensity (step S80).

In addition, the process of determining the user's disposition by presenting one or more textile patterns to the user and evaluating the emotions through the emotional vocabulary (steps S30 to S40) may be performed only when the user first uses the system. Repeatedly performed every time, and stored and managed in a database, it is possible to more accurately grasp the user's disposition.

3 is a flowchart showing a representative emotional vocabulary extraction method applied to the present invention, and each textile pattern extracts the representative emotional vocabulary using numerical information of the emotional vocabulary evaluated by the evaluators.

A group of emotional evaluators gathers emotional vocabulary for the textile pattern in a survey form (step S100), calculates the average and standard deviation of each emotional vocabulary (step S200), and sorts the emotional vocabulary by an average (step S300). .

Sorting the emotional vocabulary by an average means that the textile pattern cannot be expressed by one emotional vocabulary, so that the emotional vocabulary belonging to the upper group among the various emotional vocabularies selected for the textile pattern is extracted, and one textile pattern In order to apply the above emotional vocabulary, in an embodiment of the present invention, the upper five emotional vocabulary are extracted and applied.

Information about the textile pattern represented by at least one emotional vocabulary is constructed in a database (step S400).

4 is a view showing an embodiment of the emotional vocabulary collection method applied to the present invention, an embodiment of the emotional vocabulary cluster of FIG.

Emotional vocabulary for applying to the present invention selects and extracts words extracted from mass media, literature and dictionaries, and words used by designers, and one emotional vocabulary forms pairs with opposite emotional vocabulary. .

In a preferred embodiment, five emotional vocabulary pairs are presented in one textile pattern, and a total of 60 textile patterns are displayed to the evaluator in a web-based survey form in 10 steps including six textile patterns in each stage.

In the form of a semantic classification scale, the evaluator expresses the degree of emotion with 5 grades from -2 to +2. Table 1 shows the emotional vocabulary pairs for the textile pattern, and the emotional vocabulary in one embodiment of the present invention. Is expressed as an adjective.

Table 1

-2 -One 0 +1 +2 -2 -One 0 +1 +2 dark ‥‥‥ bright Rural ‥‥‥ Urban Innocent ‥‥‥ sexy conservative ‥‥‥ Open stale ‥‥‥ clear Curved ‥‥‥ Straight Static ‥‥‥ Dynamic Retro ‥‥‥ modern cold ‥‥‥ warm monotonous ‥‥‥ complicated soft ‥‥‥ rough Oriental ‥‥‥ Western Childlike ‥‥‥ Mature Unclassified ‥‥‥ Classy Mechanical ‥‥‥ Natural Feminine ‥‥‥ Masculine Dilapidated ‥‥‥ new Coarse ‥‥‥ compact

The evaluator assesses the sensitivity of the textile to the range of -2 to +2 according to the questionnaire form.

5A to 5C are diagrams for explaining a method of using an item recommendation system using an emotional vocabulary according to the present invention.

FIG. 5A is a screen for selecting and inputting an emotional vocabulary. When a user selects an emotional vocabulary corresponding to his or her emotion among the emotional vocabularies appearing in a drop-down list, the emotional vocabulary having a meaning opposite to the selected emotional vocabulary is shown. Presented.

The emotional words selected and ranked by the user have a weight value, for example, the first rank is 100%, the second rank is 50%, the third rank is 15%, the fourth rank is 10%, and the fifth rank is 5%. Has a weight value.

The user can input the evaluation data for the emotional vocabulary and the opposite emotional vocabulary selected by moving the slider. When the input is completed, the user is conditionally recommended by the representative emotional vocabulary designated in the textile pattern.

If there is no emotional vocabulary that can be satisfied in FIG. 5A, a textile pattern is recommended based on the preferences of other users through a screen for inputting a preference for the textile of FIG. 5B.

Along with the textile pattern, the representative emotional vocabulary assigned to the textile pattern and the opposite emotional vocabulary are shown together, and the user moves the slider to change the data according to his or her taste.

When the emotional vocabulary is input through FIGS. 5A and 5B, the textile pattern expected by the user is based on the user's disposition, the emotional vocabulary input by the user, and the representative emotional vocabulary designated in the textile pattern. It is displayed through the screen of 5c.

5C is a textile pattern recommendation program, in which five kinds of textile patterns selected according to the user's preference are shown in the recommendation unit 10, and when the user selects one of the textile patterns of the recommendation unit 10, the selected textile pattern is selected. It is coordinated with the clothes of this virtual model 20, and is visually represented.

The user can easily adjust various visual elements using the visual element adjusting means 30, and the changed data is applied to the textile pattern and coordinated to the clothes of the virtual model 20, thereby visually confirming the visual elements of the textile pattern. You can change them.

In addition, the textile pattern changed according to the user's preference is stored in the textile pattern database 140 to form a new textile pattern.

Although the above has been described with reference to the preferred embodiment of the present invention, various modifications and changes are possible without departing from the scope of the present invention. Therefore, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification but should be defined by the claims of the patent.

As described above, the textile pattern recommendation system and method using the emotional vocabulary according to the present invention constructs a database of various textile patterns and various emotional vocabulary, and expresses one textile pattern by one or more emotional vocabulary, It is effective to analyze the data more accurately and to provide design elements with objective measurement.

Furthermore, by analyzing the user's disposition, the emotional vocabulary re-input according to the situation, and the emotions of other users, the optimal design element corresponding to the user's disposition is provided.

Claims (7)

An input module for receiving an emotional vocabulary corresponding to his or her emotion from the user; A user information management module that determines the propensity of the user through the emotional vocabulary provided from the input module; A user information database for storing the user's disposition; A textile pattern database that stores information of various textile patterns; A textile pattern management module for extracting a textile pattern corresponding to the user's disposition from the textile pattern database; Emotional vocabulary database for storing information of various emotional vocabulary; An emotional vocabulary management module for presenting and selecting the emotional vocabulary extracted from the emotional vocabulary database to the user; A textile pattern providing module configured to receive information from the user information management module, the textile pattern management module, and the emotional vocabulary management module to predict and provide a textile pattern preferred by the user; Textile pattern recommendation system using the emotional vocabulary, characterized in that it comprises a control module for controlling the data input and output to each of the database and the function of each module. The method of claim 1, wherein the user information management module expresses the user's sensitivity to one or more textile patterns in the emotional vocabulary, extracts a similar group having similar preferences to the user, and based on the propensity of the similar group. Textile pattern recommendation system using the emotional vocabulary, characterized in that for determining the propensity of the user. The method according to claim 1, wherein the textile pattern providing module causes the user to select a plurality of emotional vocabularies presented to the user by the ranking by the emotional vocabulary management module, and then the emotional vocabularies according to the rankings and the propensity of the user. And analyzing the propensity of the similar group to provide the user with at least one textile pattern. The method of claim 1, wherein the textile pattern providing module defines a similarity weight by Equation 1, calculates the similarity weight of the user by Equation 1, and calculates other users whose age and gender are similar to the user. Extract and calculate the similarity weights of the extracted other users by Equation 1, and then provide the textile pattern to the user based on the propensity of the other users having high similarity between the user and the similarity weights. Textile pattern recommendation system using the emotional vocabulary characterized in that. Equation 1 a, i: user j: Textile pattern in which users a and i have a common preference m: total number of textile patterns : Propensity that user a showed for textile pattern : Average value of propensity for textile pattern entered by user a : Propensity that user i showed about textile patterns : Mean value of propensity for textile pattern entered by user i 2. The emotional vocabulary control method according to claim 1, further comprising a textile visual element adjusting module that provides a means for adjusting in detail the visual element of the textile pattern provided to the user through the textile pattern providing module. Textile pattern recommendation system. Evaluating, by an emotional vocabulary, individual emotions that a plurality of evaluators feel about a plurality of preset textile patterns; Extracting a representative emotional vocabulary for each of the textile patterns evaluated by the evaluators; Presenting one or more of the textile patterns to a user to express his or her emotions with the emotional vocabulary, thereby determining and storing the user's disposition in a database; Various emotional words are presented to the user, and the user inputs the emotional words by rank according to their emotions; Analyzing the user's disposition, the representative emotional vocabulary, and the emotional vocabulary according to the ranking selected by the user, predicting a textile pattern preferred by the user, and providing the emotional vocabulary to the user Recommended textile pattern method. The method of claim 6, further comprising providing a textile pattern to the user based on the information evaluated by the evaluator when the emotional vocabulary corresponding to the user's emotion does not exist. Recommend textile pattern using emotional vocabulary characterized by.