KR20190033821A - Folder Recommending Method and Apparatus Thereof - Google Patents

Abstract

Provided are a folder recommendation method and a folder recommendation device to easily determine a position, where a file is stored, and a file name. An embodiment of the present invention provides the folder recommendation method and folder recommendation device, which analyze the file to be stored and provide a recommendation folder where the file is to be stored. The folder recommendation method comprises the following steps: a file analysis module generating file analysis data based on a file analysis result; and an information processing unit determining the recommendation folder representing a position where the file is to be stored based on a comparison result between the file analysis data and folder analysis data including information on the folder configured in a storage medium on which the file is to be stored.

Description

[0001] Folder Recommending Method and Apparatus [0002]

The present invention relates to a method and apparatus for recommending a folder as a location for storing a file. More particularly, the present invention relates to a method and apparatus for recommending an appropriate storage location for a file so that a user can easily analyze the file and store the file or the file name when the user stores the file.

[0002] As computing devices such as personal computers (PCs) have become widespread, a variety of information such as documents, mail, images, and the like are managed using a computing device. Especially, as the price of storage devices became lower and the necessity of saving paper resources became higher, the electronicization of data became faster. In addition, the amount of information managed according to the development of information technology is also greatly increasing. In an enterprise, efficient management of electronic information is essential for efficiency of work.

In order to efficiently manage large amounts of information, it is necessary to make it easy for users to find necessary data. Therefore, there is a need to store information so that it can be efficiently stored and easily found by the user.

To manage electronic data, computing devices typically store information in the form of files. A directory structure may be used as a file management technique. The directory structure allows the user to create a directory (which can be referred to as a folder or a catalog), specifies the location and file name where the file should be stored in the directory when the file is saved, and then stores the file in that location. The user must create a directory so that the stored file can be easily found later, and select a directory in which the file is categorized and stored so that the desired file can be easily searched. For example, on the Windows OS provided by Microsoft, if a save button or an upload button provided in an application is selected, a file storage window for inputting or searching for a folder location and inputting a file name is displayed. The user can specify the folder directly in the file storage window using the input / output device, store the file by selecting the final save button after inputting the file name.

However, as the amount of files that need to be managed increases, the number of folders to store files increases. In this case, the user may be confused when deciding where to save the file. Further, even if the user determines the location to store, there is an inconvenience that the user must perform various inputs in order to input the location to store the file using the existing file storage window.

Japanese Laid-Open Patent Publication No. 2012-027525

SUMMARY OF THE INVENTION It is an object of the present invention to provide a folder recommendation method and a folder recommendation device for recommending a storage location of a file so that a user can easily store and manage a file when a computing device stores a file.

The technical objects of the present invention are not limited to the above-mentioned technical problems, and other technical subjects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a folder recommendation method comprising: generating file analysis data based on a result of analyzing a file by a file analysis module; Determining a recommended folder indicating a location where the file is to be stored based on a result of comparing folder analysis data including information on a folder configured on a storage medium on which the file is to be stored, and outputting the determined recommended folder .

The folder recommendation method according to another embodiment is characterized in that the information processing unit receives a user input for selecting the recommend folder, and the information processing unit or the folder analysis module acquires information about the selected recommendation folder and the file stored in the recommended folder To the folder analysis data.

According to another embodiment, the folder analysis data may include a folder name of a folder configured on the storage medium, data obtained by analyzing a file stored in a lower level of the folder by the file analysis module, and data Relationships.

According to yet another embodiment, the step of generating file analysis data comprises the steps of analyzing the file name of the file and the morpheme of the text included in the contents of the file, and analyzing the morpheme file name and the text And assigning a point on the basis of the occurrence frequency and appearance position of each word and each sentence with respect to the listed words and sentences, The information processing unit may include information about a point given to the sentence, and the information processing unit may determine the recommended folder based on the point.

According to another embodiment, the file analysis data includes at least one of an extension name of the file, an author of the file, position information, a storage date and time of the file, a language used in the file, an image included in the file, And may include one or more of the attributes of the image.

According to another embodiment of the present invention, the step of determining the recommended folder may further include, when a comparison is made between the file analysis data and the folder analysis data, if it is determined that an older version file exists in the file, And determines the recommended folder as the recommended folder.

According to another embodiment, the step of generating the file analysis data may include analyzing the temporary storage file when the temporary storage file for the file is generated, analyzing the changed part between the file and the temporary storage file, And the file analysis data is generated based on a result of analyzing the temporary storage file and a result of analyzing the changed portion.

A folder recommendation apparatus according to an embodiment of the present invention includes a folder analysis module for acquiring or managing folder analysis data including information about folders configured in a storage medium on which files are to be stored, A file analysis module for generating analysis data, and an information processing unit for determining a recommend folder indicating a location for storing the file based on a result of comparing the file analysis data and the folder analysis data.

According to another embodiment, when the recommendation folder is selected as a folder for storing a file, the folder analysis module updates information on the selected recommendation folder and the file stored in the recommendation folder to the folder analysis data .

According to another embodiment, the folder analysis data may include a folder name of a folder configured on the storage medium, data on which the folder analysis information is analyzed in a file stored under the folder, and data on which the folder and the file are analyzed And a relationship between the two.

According to another embodiment, the folder recommendation apparatus may further include an output unit for recommending the determined recommendation folder.

According to another embodiment, the file analysis module analyzes the file name of the file and the morpheme of the text included in the contents of the file, and analyzes the file name of the morpheme and the text included in the contents of the file in words and sentences And assigning points to the listed words and sentences based on the appearance frequency and appearance position of each word and each sentence, and the file analysis data includes information about the points assigned to each word and each sentence And the information processing unit determines the recommended folder based on the point.

According to another embodiment, the file analysis data includes at least one of an extension name of the file, an author of the file, position information, a storage date and time of the file, a language used in the file, an image included in the file, , And one or more attributes of the image.

According to another embodiment of the present invention, when the file analysis data and the folder analysis data are compared with each other, it is determined that an old file exists in the file, And then determining whether or not the result of the determination is positive.

According to another embodiment, the file analysis module analyzes the temporary storage file when the temporary storage file for the file is generated, and analyzes the temporary storage file when the file storage request is received, And the file analysis data is generated based on a result of analyzing the temporary storage file and a result of analyzing the changed part.

FIG. 1 is a view showing a structure of a folder recommendation apparatus according to an embodiment of the present invention.
2 is a flow chart illustrating a process for recommending folders in accordance with one embodiment of the present invention.
3 is an exemplary diagram illustrating an example of a user interface output according to an embodiment of the present invention.
4 is a flow diagram illustrating a process for a file analysis module to analyze a file in accordance with one embodiment of the present invention.
5 is a flowchart illustrating an example of a process of a file analysis module for analyzing the contents of a file name or a file according to an embodiment of the present invention.
6 is a flowchart illustrating a process of folder analysis by a folder analysis module according to an embodiment of the present invention.
7 is a flowchart for explaining an embodiment for recommending a folder in a local computing device.
8 is a flowchart for explaining an embodiment for storing a file on another server in a server where the file is stored.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, .

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise. The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. It is noted that the terms "comprises" and / or "comprising" used in the specification are intended to be inclusive in a manner similar to the components, steps, operations, and / Or additions.

Throughout this specification, "folder" means a storage location for categorizing and storing files, and the present invention is not limited to a specific operating system. Here, the storage location does not only mean a physical location, but also includes a concept of a logical location for classifying, storing, and searching files. In addition, "save file" means not only to create and save a file, but also to save an existing file to a different file name, to upload a locally stored file to the server, Or to specify a location where a file is to be stored, for example, when it is provided to another server.

Some embodiments of the present invention will now be described with reference to the drawings.

1 is a view schematically showing a structure of a folder recommendation apparatus 100 according to an embodiment of the present invention.

The folder recommendation apparatus 100 according to an exemplary embodiment of the present invention includes a file analysis module 110 that generates file analysis data including information related to a file as a result of analyzing the file, An information processing unit 130 for determining a recommendation folder based on the file analysis data and the folder analysis data, a recommendation folder outputting unit 130 for outputting a recommendation folder And an output unit 140. The recommended folder recommended by the folder recommendation apparatus 100 may indicate a storage location set for the storage unit 150. [ In FIG. 1, the storage unit 150 is described as being separate from the folder recommendation apparatus 100, but is not limited thereto. The storage unit 150 may be provided in the same local apparatus as the folder recommendation apparatus 100 or may be provided in a separate apparatus located at a remote location in the same form as a server.

According to an embodiment, the folder recommendation apparatus 100 may be provided in a local apparatus in which a user creates and stores a file, and may be separately provided in a remote apparatus such as a cloud server storing a file. For example, when a user creates and stores a file on the local PC, the folder recommendation apparatus 100 may be configured as a combination of a processor, a memory, and a program module of the local PC. In this case, the output unit 140 may be implemented as a display device for outputting information about a recommended folder such as an LCD, a touch screen display, a PDP, etc. as an image. In addition, the output unit 140 may be configured as one device physically with the folder recommendation apparatus 100, but may be configured as a separate apparatus connected to the folder recommendation apparatus 100. [ Alternatively, when the created file is stored in the cloud server or the file is transferred from one server to another server, the folder recommendation apparatus 100 may be provided in a server storing files and / or a server storing files to be shared have. In this case, the output unit 140 may be implemented in the form of a network interface for transmitting information on a recommended folder to a client, but is not limited thereto.

When the user inputs a storage command for a file to be stored in the computing device, the file analysis module 110 may generate file analysis data as a result of analyzing the file to be stored. The file analysis data is basic data for determining a location where a file is to be stored, and may include information about the nature and content of the file. For example, the file analysis data includes file name, attribute of a file, title of a file, author information, position information, date and time of storage of a file, language used in a file, image included in a file, name of an image, A word and a sentence extracted from the content of the sentence, an extracted word, and a point allocated to the sentence.

Here, the attribute of the file means information indicating the property of the file. For example, the attributes of a file may include file format, extension name, author, creation area, or creation date. The title of a file may be a word or a sentence representing the subject of the file as a result of analyzing the file. The location information may include information indicating a location where the file is created. For example, the folder recommendation apparatus 100 may recommend that files created at similar locations based on the location where the files are created are stored in the same folder. The storage date and time of the file means the time when the file is stored or the user attempts to store the file. For example, the folder recommendation apparatus 100 may recommend storing files in one folder on the basis of files stored for a certain period of time, files stored at regular intervals, or files stored on the same day of the week. The attributes of an image may mean information such as a file format such as jpg or png, a creator of the image, or a minutia extracted from the image.

According to one embodiment, the file analysis module analyzes the morpheme of the text included in the file and can determine the title of the file by extracting a word or a sentence representing the subject of the file from the text. In addition, according to one embodiment, the file analysis module 110 extracts and lists words and sentences by performing morphological analysis by applying a natural language processing (NLP) technique to the file name or contents of the file . In addition, the file analysis module 110 may assign a point to a word or a sentence based on at least one of the appearance frequency of the word or sentence extracted from the file, the nature of the word according to morphological analysis, and the position where the word is used. For example, the file analysis module 110 may assign a higher point to a word or sentence that frequently appears in a file. As another example, the file analysis module 110 may assign a higher point based on a larger weight if the extracted word is a noun. In another example, the file analysis module 110 may calculate a weighting value for calculating a point to be allocated, depending on whether a word or a sentence is used in a file name, a title in a file, a table of contents, a small classification, a header, Can be determined differently. In addition, according to the embodiment, when the folder recommendation apparatus 100 is applied to an apparatus in which a file is stored in advance, the file analysis module 110 generates file analysis data for not only a file to be newly stored but also a previously stored file .

However, the content of the file analyzed by the file analysis module 110 may be arbitrary information constituting the file, and the analysis target is not limited to the text. For example, when an image is included in a file, the file analysis module 110 may generate file analysis data including minutia information of the extracted image by applying an image recognition process to the image. Also, the creator of the image, the extension of the image, and the like may be included in the file analysis data.

According to one embodiment, the file analysis data generated by the file analysis module 110 may be accumulated and stored in a database (not shown). According to the present embodiment, the folder analysis module 120 generates folder analysis data including information on the folder set in the storage unit 150 where the file is to be stored, based on the file analysis data stored in the database (not shown) can do. The folder analysis data may include, for example, at least one of a folder name of a folder, a folder name of an upper folder and a folder name of a lower folder, and file analysis data of a file stored under the folder.

According to one embodiment, the folder analysis data may further include information about the history that the user has stored the file. That is, when the user selects a recommended folder to be outputted and stores the file, the folder analysis module can reflect the folder analysis data as a result that the recommended folder outputted as the result value of the file analysis data of the file is correct. In addition, when a user stores a file in a folder other than the recommended folder to which the user has output the file, the recommended folder output as a result of the file analysis data of the file is incorrect, and the folder in which the actual file is stored is correct The information representing the folder can be reflected in the folder analysis data.

When a file storage command for requesting file storage is input from the user, the information processing unit 130 determines a recommended folder based on the file analysis data and folder analysis data generated by analyzing the file to be stored in response to the input file storage command . According to one embodiment, the information processing unit 130 may compare the file analysis data and the folder analysis data to calculate a fitness score of the folder for the file to be stored. The information processing unit 130 can calculate a fitness score based on a fitness calculation algorithm set in advance. For example, when the file name and the file name of the file stored in the lower part of the folder are identical to the folder name of the folder and the words contained in the contents of the file, the information processing unit 130 stores the fitness score Can be calculated high. In addition, the fitness calculation algorithm may be set so that the fitness score calculated as the words having high points assigned to the word match with each other based on the appearance frequency.

According to some embodiments, the information processing unit 130 may be configured to include a neural network model. In this case, the information processing unit 130 can train the neural network model with the folder analysis data as learning targets. That is, based on the file analysis data analyzing the files stored under each folder based on the folder analysis data, the information processing unit 130 determines whether files having certain properties are stored in any folder, whether a folder recommendation result is selected And the like. The information processing unit 130 can determine a recommended folder that is determined to be most suitable for the file analysis data that the user wants to store based on the learning result.

According to one embodiment, the information processing unit 130 may determine, as a recommended folder, a folder to be newly created, in addition to a folder previously created. That is, the information processing unit 130 can determine the path of an appropriate folder for the file based on the file analysis data of the file to be stored. If the folder corresponding to the determined path is not created, the information processing unit 130 may recommend creating a folder of the determined path and storing the file.

According to another embodiment, the information processing unit 130 may compare the file analysis data generated as a result of analyzing the file to be stored with the folder analysis data, and determine whether there is an older version of the file to be stored . Whether or not an old version of a file to be stored exists exists can be judged variously according to the embodiment. For example, the file analysis data of the file to be stored and the file name of the file included in the folder analysis data are compared with each other to calculate the degree of duplication of the attribute, and information about the file whose calculated degree is equal to or higher than the threshold value If so, the information processing unit 130 can determine that the old version file exists. Here, the output unit 140 may output a user interface for the user to select whether or not to update the old version file to a file to be stored. That is, the output unit 140 may output a user interface for selecting whether to replace the old version file with the file to be stored by the user or to store the old version file by changing the file name of the file to be stored.

2 is a flow chart illustrating a process for recommending folders in accordance with one embodiment of the present invention.

2, the folder analysis module 120 of the folder recommendation apparatus 100 can acquire or manage folder analysis data for the storage unit 150 where the file is to be stored have. Here, the folder analysis module 120 according to the embodiment may generate folder analysis data based on data generated as a result of analyzing folders previously created in the storage unit 150 and files stored in the respective folders. That is, according to one embodiment, the folder analysis module 120 may generate the folder analysis data by combining the name of the folder and the file analysis data of the files stored in the folder. According to another embodiment, the folder analysis data may further include a correlation between the folder and the analyzed data of the file. Here, the correlation may indicate a degree of close relationship between the data and the folder in which the file is analyzed. For example, when a user directly specifies a corresponding folder and stores the file, it can be determined that the relationship between the file analysis data of the file and the folder is closer. The correlation can be determined based on various criteria.

It should be noted that the step of generating the folder analysis data by the folder analysis module 120 is not performed every time the folder is recommended. According to another embodiment, there may be a case where a file stored in the local device is uploaded to an external device and stored. In this case, the folder analysis data for the external apparatus exists separately in the external apparatus, and the folder recommendation apparatus 100 can acquire the folder analysis data for the external apparatus in which the file is to be stored by receiving the folder analysis data from the external apparatus .

The folder analysis module 120 may update and manage the folder analysis data when the file is stored in the storage medium corresponding to the folder analysis data when the folder analysis data already exists.

The step of acquiring or managing the folder analysis data by the folder analysis module 120 is not predetermined with respect to the process shown in FIG. 2, and may be changed according to the embodiment. That is, the operation of the folder analysis module 120 may be performed before or after the process shown in FIG. 2, or may be performed in parallel with the process shown in FIG.

In step S210, the file analysis module 110 of the folder recommendation apparatus 100 can generate file analysis data by analyzing a file to be stored. As described above, the file analysis data may include information about the nature and content of the file as basic data for determining a location to store the file.

Thereafter, in step S220, the information processing unit 130 of the folder recommendation apparatus 100 can determine the recommended folder based on the folder analysis data and the file analysis data. Here, the recommended folder may refer to a location (path) for storing the file.

Thereafter, in step S230, the output unit 140 of the folder recommendation apparatus 100 can output the recommended folder determined in step S230. If a plurality of recommended folders are determined in step S220, the output unit 140 may output a plurality of recommended folders. Referring to FIG. 3, an example of a user interface for outputting a recommendation folder is shown. Here, FIG. 3 is for explaining one embodiment, and the present invention is not limited to the example shown in FIG.

3 is an exemplary diagram illustrating an example of a user interface output according to an embodiment of the present invention.

When the user selects a save button or an upload button for storing the created file, the output unit 140 of the folder recommendation apparatus 100 can output a file storage interface 310 capable of specifying a file storage location and a file name have. In addition, the output unit 140 may output a storage location selection interface 320 including one or more recommended folders so that the user can easily select a file storage location. According to the present example, the storage location selection interface 320 includes an existing folder list 321, which is a folder in which the recommended folder is created, and a new folder list 322, which is not present in the folder where the recommended folder is created .

By receiving an input for selecting a recommended folder output from the user, the file can be stored in the selected recommended folder. According to one embodiment, when a user receives a user input for selecting a recommended folder included in the existing folder list 321, the file may be stored under the selected recommended folder. In addition, when a user receives a user input for selecting a recommended folder included in the new folder list 322, the file may be stored under the newly created folder after the new folder is created. However, this is for the purpose of illustrating an embodiment, and the present invention is not limited to the user interface shown in FIG.

Also, according to one embodiment, the folder analysis module 120 may update folder analysis data for the folder in which the file is stored, if the file is stored. As the folder analysis data is updated, file analysis data for the file stored in the folder analysis data for the folder where the file is stored may be added to the folder analysis data. By updating the folder analysis data on the folder in which the file is stored, the folder recommendation apparatus 100 can learn the result of storing the file.

According to another embodiment, the folder analysis module 120 may further add information on the result of the user's selection to the folder analysis data when the file is stored as the user selects the folder. For example, when a user selects a recommended folder and a new folder having a high similarity to the stored file is to be stored, if the selected recommended folder conflicts with another folder, the information processing unit 130 preferentially selects the recommended folder Information on the selection result of the user can be added to the folder analysis data so as to select the recommended folder. On the contrary, the recommended folder that the user has not selected can update the folder analysis data so that it can be selected as a recommended folder compared to the recommended folder selected when a similar new file is to be stored later. Whether or not the new file is similar to the stored file can be determined by comparing the file analysis data of each file and calculating the similarity. By thus updating the information on the user's selection result to the folder analysis data, the folder recommendation apparatus 100 can recommend a folder more suitable for the user's intention as the history of storing the file accumulates.

4 is a flow diagram illustrating a process for a file analysis module to analyze a file in accordance with one embodiment of the present invention. In particular, Figure 4 is a flow diagram illustrating a process for analyzing a file to be stored in an embodiment of storing a file in a local device. The process shown in Fig. 4 may correspond to step S220 of Fig.

According to one embodiment, in step S410, a file to be stored may be generated based on an application for generating a file. Here, the application for generating a file may be a program, for example, a word processor or a spreadsheet, in which a user can create contents of an electronic document or the like and store the contents as a file. However, the type of application is not limited to this, and any program capable of creating contents and generating a file can be included in the application.

Thereafter, in step S420, the file analysis module 110 may determine whether or not the designated file exists in the file to be stored. If the file name exists, the file analysis module 110 can analyze the file name of the reference file in step S421. Also, in step S430, the file analysis module 110 may determine whether or not the file content to be stored exists for the file to be analyzed. The file analysis module 110 may analyze the content of the file in step S431 if the file content to be analyzed exists with respect to the reference file. For example, when the contents of the file include text, the file analysis module 110 analyzes the word contained in the file name, the document included in the contents of the file, A title, a frequency of appearance of each word and a word, and the like can be obtained.

Thereafter, in step S440, the file analysis module 110 may generate file analysis data including information obtained as a result of the analysis performed in steps S421 and S431.

In addition, the process shown in FIG. 4 can be similarly applied to the case where the folder recommendation apparatus 100 is applied to the storage unit 150 in which the pre-stored file exists. In this case, step S410 may be replaced with a step of searching for files stored in the storage unit 150. [ Thereafter, the file analysis module 110 may generate file analysis data by performing steps S420 to S440 for the searched files.

Also, in the case of a file stored in the server and shared via the web, file analysis data may be generated based on the process as shown in FIG. 4, and a shared folder in which the file is to be stored using file analysis data may be recommended .

However, if the file analysis data already exists, the process shown in Fig. 4 or step S220 of Fig. 2 may be replaced by another process. For example, when a file existing on the server is downloaded and stored, the file analysis data analyzed by the file analysis module existing on the server may already exist. In this case, step S220 shown in FIG. 2 may be replaced with a process of receiving and acquiring file analysis data existing in the server. As another example, if you save a file with the same content as the file stored on the local device (if you save it under a different name), or upload a file stored on a local device to the Web, the file analysis data May already exist. In this case, the process shown in FIG. 4 or step S220 of FIG. 2 may be replaced with a step of searching for file analysis data of a file stored in the local device.

FIG. 5 is a flowchart illustrating an example of a process of the file analysis module 110 analyzing the contents of a file name or a file according to an embodiment of the present invention.

According to one embodiment, the file analysis module 110 may analyze the file name or the morpheme of the text included in the contents of the file in step S510 in order to analyze the contents of the file name or the file. Here, for example, a natural language processing technique or machine learning may be applied to analyze morphemes, but the present invention is not limited thereto.

Thereafter, in step S520, the file analysis module 110 may list text in units of words and sentences. Thereafter, in step S530, the file analysis module 110 may assign the points to the listed words and sentences differentially based on the occurrence frequency of the words and sentences, the locations where the words and sentences are used, and the like.

According to one embodiment, the folder analysis module 120 may generate folder analysis data that includes information about folders and information about files stored under the folders. FIG. 6 is a flowchart for illustrating an example of a process in which the folder analysis module 120 analyzes a folder according to an embodiment of the present invention.

First, in step S610, the folder analysis module 120 may search for a file stored in the folder and folder under the folder. Thereafter, in step S620, the folder analysis module 120 may analyze the found folders and files. For example, the folder analysis module 120 may perform morphological analysis on the folder name of the folder. As another example, the folder analysis module 120 may further analyze the folder name of the parent folder of the folder. The analysis of the searched file may also be performed based on the file analysis data generated by the file analysis module 110. [

Thereafter, in step S630, the folder analysis module may generate the folder analysis data based on the result of analyzing the folder in step S620 and the file analysis data of the file stored under the folder.

7 is a flowchart for explaining an embodiment for recommending a folder in a local computing device. In particular, FIG. 7 is a flowchart showing a process in which the folder recommending apparatus 100 recommends a folder in the case where the content created in the local computing device is stored as a file after the folder analysis data is generated in step S210 of FIG.

In step S710, it may be determined whether an instruction has been received requesting to save the content created in the local computing device to a file. If the request for file storage is not received, the information processing unit 130 of the file recommendation apparatus 100 may determine whether a temporary storage file exists for the created contents in step S712. Here, the temporary storage file may be a file temporarily storing contents created when a file storage request is not received by the user. If the temporary storage file exists, the file analysis module 110 of the file recommendation apparatus 100 can analyze the temporary storage file at the request of the information processing unit 130 in step S713. That is, when the temporary storage file is generated, the file analysis module 110 can analyze the temporary storage file.

If a request for file storage is received in step S710, the file analysis module 110 may generate file analysis data (S720). If there is a result of analyzing the temporary storage file in step S730, the file analysis module 110 may determine whether there is a changed part, which is an un-analyzed part, in step S713 for the file to be stored. If there is a part of the file to be stored that has not been analyzed in step S713, the file analysis module 110 can analyze the file to be stored only in the part not analyzed in step S713. The file analysis module 110 may generate the file analysis data by combining the result of analyzing the temporary storage file and the analysis result of the changed portion in step S713.

Thereafter, in step S730, the information processing unit 130 can determine the recommended folder based on the file analysis data and the folder analysis data. In step S740, the output unit 140 may output the determined recommended folder.

If the file is stored according to the user input for selecting the folder after step S740, the folder analysis module 120 may update the folder analysis data with information about the folder in which the file is stored and the stored file, in step S750.

8 is a flowchart for explaining an embodiment for storing a file on another server in a server where the file is stored. In particular, FIG. 8 is a flowchart of a process performed when file analysis data exists for a file stored in advance and folder analysis data for a device in which a file is to be stored is generated in advance.

In step S810, a file to be shared and a server on which the file is to be stored may be determined. Here, the file to be shared and the server in which the file is to be stored may be determined according to a user input inputted through a browser or the like.

Thereafter, in step S820, the folder recommendation apparatus 100 receives the folder analysis data for the server from the server storing the file, and receives the file analysis data on the file stored in advance from the server in which the file is stored.

Subsequently, the folder recommendation apparatus 100 can determine the recommended folder in step S830 and output the recommended folder determined in step S840.

If the file stored in the server is downloaded to the local device, step S810 may be replaced with a step of selecting a file to be downloaded and stored. In this case, the folder recommendation apparatus 100 may receive the file analysis data from the server in step S820 and analyze the folder of the local device to generate folder analysis data.

When the file stored in the local device is uploaded to the server in step S820, the folder recommendation apparatus 100 receives the folder analysis data from the server and searches for file analysis data on the file stored in advance.

In addition, when storing a file pre-stored in the local device under a different name, the folder recommendation apparatus 100 may acquire the file analysis data of the previously stored file and the folder analysis data of the local device in step S820.

The methods according to the embodiments of the present invention described so far can be performed by the execution of a computer program embodied in computer readable code. The computer program may be transmitted from a first computing device to a second computing device via a network, such as the Internet, and installed in the second computing device, thereby enabling it to be used in the second computing device. The first computing device and the second computing device all include a server device, a physical server belonging to a server pool for cloud services, and a fixed computing device such as a desktop PC.

The computer program may be stored in a recording medium such as a DVD-ROM, a flash memory device, or the like.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, I can understand that. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

Claims (16)

Generating file analysis data based on a result of the file analysis module analyzing the file; And
And the information processing unit includes a step of determining a recommended folder indicating a location where the file is to be stored based on a result of comparing the file analysis data with folder analysis data including information on a folder configured on the storage medium on which the file is to be stored doing,
How to recommend folders. The method according to claim 1,
The folder recommendation method includes:
The information processing unit receiving a user input for selecting the recommended folder; And
And updating the folder analysis data with information on the selected recommendation folder and the file stored in the recommendation folder.
How to recommend folders. 3. The method of claim 2,
The folder analysis data includes:
A folder name of a folder configured on the storage medium; a file analysis module for analyzing a file stored under the folder; and a correlation between the folder and the analyzed data of the stored file.
How to recommend folders. The method according to claim 1,
The folder recommendation method includes:
And outputting a user interface capable of selecting the determined folder,
How to recommend folders The method according to claim 1,
Wherein the generating the file analysis data comprises:
Analyzing the morpheme of the file name of the file and the text included in the contents of the file;
Listing the file name of the morpheme analyzed and the text included in the contents of the file in units of words and sentences;
And assigning points to the listed words and sentences based on the appearance frequency and appearance position of each word and each sentence,
Wherein the file analysis data includes information about each word and a point given for each sentence,
And the information processing unit determines the recommended folder based on the point.
How to recommend folders. The method according to claim 1,
The file analysis data includes:
Wherein the file name includes at least one of an extension name of the file, an author of the file, location information, a storage date and time of the file, a language used in the file, an image included in the file,
How to recommend folders. The method according to claim 1,
Wherein the step of determining the recommended folder comprises:
Wherein the recommendation folder determination unit determines the folder in which the old version file is located as the recommended folder when it is determined that the old version file exists in the file as a result of the comparison between the file analysis data and the folder analysis data.
File recommendation method. The method according to claim 1,
Wherein the generating the file analysis data comprises:
Analyzing the temporary storage file when the temporary storage file for the file is generated;
Analyzing the changed portion between the file and the temporary storage file; And
And the file analysis data is generated based on a result of analyzing the temporary storage file and a result of analyzing the changed portion.
How to recommend folders. A folder analysis module for acquiring or managing folder analysis data including information about folders configured on a storage medium on which files are to be stored;
A file analysis module for generating file analysis data based on a result of analyzing the file; And
And an information processing unit for determining a recommended folder indicating a location for storing the file based on a result of comparing the file analysis data and the folder analysis data,
Folder recommendation device. 10. The method of claim 9,
Wherein the folder analysis module comprises:
When the recommendation folder is selected as a folder for storing the file, information about the selected recommendation folder and the file stored in the recommendation folder is updated to the folder analysis data.
Folder recommendation device. 10. The method of claim 9,
The folder analysis data includes:
A folder name of a folder configured on the storage medium; a file analysis module for analyzing a file stored under the folder; and a correlation between the folder and the analyzed data of the stored file.
Folder recommendation device. 10. The method of claim 9,
The folder recommendation apparatus comprises:
And an output unit for outputting the determined recommended folder,
Folder recommendation device. 10. The method of claim 9,
Wherein the file analysis module comprises:
Analyzing the morpheme of the text included in the file name of the file and the contents of the file, listing the file name of the morpheme analyzed and the text included in the contents of the file in units of words and sentences, A point is given based on the appearance frequency and appearance position of each word and each sentence,
Wherein the file analysis data includes information about each word and a point given for each sentence,
And the information processing unit determines the recommended folder based on the point.
Folder recommendation device. 10. The method of claim 9,
The file analysis data includes:
A name of the image, and an attribute of the image, and the attribute information includes at least one of an extension name of the file, an author of the file, position information, a storage date and time of the file, a language used in the file, Features,
Folder recommendation device. 10. The method of claim 9,
The information processing unit,
Wherein the recommendation folder determination unit determines the folder in which the old version file is located as the recommended folder when it is determined that the old version file exists in the file as a result of the comparison between the file analysis data and the folder analysis data.
File recommendation device. 10. The method of claim 9,
Wherein the file analysis module comprises:
Analyzing the temporary storage file when a temporary storage file for the file is generated and analyzing the changed portion between the file and the temporary storage file when a storage request for the file is received; And the file analysis data is generated based on a result of the analysis and the analysis result of the change portion.
Folder recommendation device.

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