WO2021227632A1 - System and method for auto-recommending at least one intelligent text to a user - Google Patents

System and method for auto-recommending at least one intelligent text to a user Download PDF

Info

Publication number
WO2021227632A1
WO2021227632A1 PCT/CN2021/080068 CN2021080068W WO2021227632A1 WO 2021227632 A1 WO2021227632 A1 WO 2021227632A1 CN 2021080068 W CN2021080068 W CN 2021080068W WO 2021227632 A1 WO2021227632 A1 WO 2021227632A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
intelligent text
unit
input
intelligent
Prior art date
Application number
PCT/CN2021/080068
Other languages
French (fr)
Inventor
Anand CHANDRAVANSHI
Kaushal Prakash SHARMA
Nitin SETIA
G Vijay Kumar
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp., Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp., Ltd. filed Critical Guangdong Oppo Mobile Telecommunications Corp., Ltd.
Publication of WO2021227632A1 publication Critical patent/WO2021227632A1/en

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/7243—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages
    • H04M1/72436—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages for text messaging, e.g. SMS or e-mail
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/40—Processing or translation of natural language
    • G06F40/55—Rule-based translation
    • G06F40/56—Natural language generation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M2250/00—Details of telephonic subscriber devices
    • H04M2250/70—Details of telephonic subscriber devices methods for entering alphabetical characters, e.g. multi-tap or dictionary disambiguation

Definitions

  • the present disclosure relates generally to recommendation of text, and more particularly, to a system and method for auto-recommending at least one intelligent text to a user.
  • an object of the present invention is to provide for a system and method to automatically recommend at least one intelligent text to a user.
  • a first aspect of the present invention relates to a method for automatically recommending at least one intelligent text to a user.
  • the invention commences when an input is received from the user.
  • the invention encompasses that the input received from the user may comprise of at least one token.
  • at least one identifier for the input is determined by an intelligent text unit.
  • the at least one identifier is determined based on at least one token identified in the input.
  • at least one intelligent text is generated by the intelligent text unit.
  • the at least one intelligent text is generated based on the at least one determined identifier of the input and at least one data stored in a database.
  • at least one intelligent text is automatically recommended to the user using a clipboard unit.
  • the system comprises an input unit, an intelligent text unit and a clipboard unit.
  • the input unit is configured to receive an input from the user.
  • the invention encompasses that the input received from the user comprises of at least one token.
  • the intelligent text unit is configured to determine at least one identifier for the input.
  • the at least one identifier is determined by the intelligent text unit based on at least one token identified in the input.
  • the intelligent text unit is further configured to generate at least one intelligent text based on the determined identifier of the input
  • the at least one intelligent text is generated based on the at least one determined identifier of the input and at least one data stored in a database.
  • the clipboard unit then configured to automatically recommended the at least one generated intelligent text to the user on a user interface.
  • Figure 1 illustrates an architecture of a system for auto-recommending at least one intelligent text to a user, in accordance with exemplary embodiments of the present invention.
  • Figure 2 illustrates a flow diagram depicting an exemplary method for auto-recommending at least one intelligent text to a user, in accordance with exemplary embodiments of the present invention.
  • the present invention provides a method and system for automatically recommending at least one intelligent text to a user.
  • the invention commences when an input is received from the user.
  • the invention encompasses that the input received from the user may comprise of at least one token.
  • at least one identifier for the input is determined by an intelligent text unit.
  • the at least one identifier is determined based on at least one token identified in the input.
  • Thereafter, based on the determined identifier of the input at least one intelligent text is generated by the intelligent text unit.
  • the at least one intelligent text is generated based on the at least one determined identifier of the input and at least one data stored in a database. Thereafter, at least one intelligent text is automatically recommended to the user using a clipboard unit.
  • connect As used herein, “connect” , “configure” , “couple” and its cognate terms, such as “connects” , “connected” , “configured” and “coupled” may include a physical connection (such as a wired/wireless connection) , a logical connection (such as through logical gates of semiconducting device) , other suitable connections, or a combination of such connections, as may be obvious to a skilled person.
  • send As used herein, “send” , “transfer” , “transmit” , and their cognate terms like “sending” , “sent” , “transferring” , “transmitting” , “transferred” , “transmitted” , etc. include sending or transporting data or information from one unit or component to another unit or component, wherein the data or information may or may not be modified before or after sending, transferring, transmitting.
  • the system [100] comprises of a user device [102] comprising of a user interface [102a] , an input unit [102b] , an intelligent text unit [102c] , a clipboard unit [102d] and a database [102e] .
  • the intelligent text unit [102c] , the clipboard unit [102d] and the database [102e] is shown to be a component of user device [102] in figure 1, the invention encompasses that these units and modules may be separate units and entities that may be connected to the user device [102] using any communication network, wired or wireless, configured to work in accordance with the working of the present invention, and without departing from the scope of the invention.
  • the user device [102] refers to any electrical, electronic, electromechanical and computing device.
  • the user device [102] may include, but is not limited to, a mobile phone, a smartphone, a tablet, a phone, a laptop, a wearable device, a personal digital assistant and any such device obvious to a person skilled in the art. It will be understood by those of ordinary skill in the art that the structure shown is merely illustrative and does not limit the structure of the system [100] .
  • Fig. 1 only one user device [102] is shown, however the system [100] may comprise of multiple such units and modules or the system [100] may comprise any such numbers of said units and modules, obvious to a person skilled in the art to implement the features of the present invention. Also, there may be one or more subunits of said units and modules of the system [100] or user device [102] and the same is not shown in the Fig. 1 for the purpose of clarity. It will be understood by those of ordinary skill in the art that the structure shown is merely illustrative and does not limit the structure of the system [100] or user device [102] . The system [100] or user device [102] may also include more or less components than those illustrated in Figure 1 or have a different configuration than that illustrated in this Figure 1.
  • the user interface [102a] is configured to display at least one icon, application, graphics, text, media, video, web page or an application window of the user device [102] .
  • the user interface [102a] is configured to display at least one application to the user.
  • the user interface [102a] may be comprise of a multi-touch interface such as the input unit [102b] .
  • an application refers to any self-contained or a group of computer software package (s) that performs a specific function directly for the user or, in some cases, for another application in accordance with the working of the present invention.
  • An application can be programs designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user of the application installed on an user device [102] , including any application that uses at least one of the IP communication protocol and the non-IP communication protocol for transmission.
  • the user interface [102a] is further configured to display at least one intelligent text to the user.
  • the at least one intelligent text may be displayed to the user as a notification to the user.
  • the notification may be received from the clipboard unit [102d] .
  • the notification may comprise of an option to the user to display at least one intelligent text.
  • the notification may comprise of an option to not display at least one intelligent text on the user interface [102a] .
  • the input unit [102b] is configured to receive an input from the user.
  • An input may be received may be received from the user to open an application.
  • the invention encompasses that an input may also be received may be received to copy at least one data from an application.
  • an input may be received to enter text in an application.
  • the user may click a soft button on a touch panel of the input unit [102b] to open a webpage in a browser application.
  • the user may click on a text displayed on the webpage of the browser application to copy a data.
  • the user may click on an input panel of the input unit [102b] to enter a text in an input area.
  • an intelligent text refers to any paragraph, summary, article, poem, quote, idiom, phrase or any other meaningful and intelligent text, comprising of two or more words, that may be created by the intelligent text unit [102d] in accordance with the working of the present invention.
  • At least one data refers to any sentence, paragraph or phrase or any other combination of words or text that may be copied by a user on the clipboard unit [102d] using the input unit [102b] in accordance with the working of the present invention.
  • the input unit [102b] is also configured to identify at least one meta data associated with the at least one data received from an application.
  • the meta data includes the time at which the data was copied, source of the data such as a webpage link, name of the application such as a browser application and the link, in accordance with the working of the present invention.
  • the input unit [102b] is configured to allow a user to interact with the user device [102] through graphical icons and visual indicators, such as secondary notation, and any combination thereof.
  • the invention encompasses that the input unit [102b] provides an interactive interface to the user.
  • the invention encompasses that the input unit [102b] may include a touch panel configured to collect the user’s input.
  • the invention further encompasses that the input unit [102b] may comprise of a touch panel, a soft keypad, a hard keypad (including buttons) and the like.
  • the input unit [102b] may be configured to receive the input from the user via a graphical user interface on the touch panel.
  • a “graphical user interface” may be a user interface that allows a user to interact with the user device [102] through graphical icons and visual indicators, such as secondary notation, and any combination thereof, and may comprise of a touch panel configured to receive an input using a touch screen interface.
  • the input unit [102b] may include a touch panel configured to collect the user’s input via touch operation, thereon or near, and using a finger or a stylus.
  • the invention encompasses that the detection of the touch on a graphical user interface of the user device [102] can be realized by various types such as resistive, capacitive, infrared, and surface acoustic waves.
  • the input received from the user may comprise of a token to automatically recommend at least one intelligent text.
  • a token is a trigger such as a character, number or a keyword that may be identified by the intelligent text unit [102c] to automatically recommend at least one intelligent text to the user.
  • the intelligent text unit [102c] may identify the token in the input using natural language processing.
  • the token may be identified by the intelligent text unit [102c] as a word in the input using natural language processing to automatically recommend at least at least one intelligent text to the user.
  • the token may be the symbol “#” to automatically recommend at least at least one intelligent text such as a summary to the user.
  • the invention encompasses that the input unit [102b] is configured to receive a response to the notification displayed to the user.
  • the input unit [102b] is configured to receive a selection of an option of the notification displayed to the user as a response.
  • the response to a notification received from the user may be to display at least one intelligent text.
  • the response to a notification received from the user may be to not to display at least one intelligent text.
  • the input unit [102b] is further configured to transmit the input received from the user to at least one of the intelligent text unit [102c] and the clipboard unit [102d] .
  • the intelligent text unit [102c] is configured to receive an input from the input unit [102b] .
  • the invention encompasses that intelligent text unit [102c] is also configured to identify at least one token in the input received from the input unit [102b] to automatically recommend at least one intelligent text.
  • the invention encompasses that the intelligent text unit [102c] is configured to identify the token in the input received using natural language processing.
  • the intelligent text unit [102c] is configured to identify the token as a word in the input using natural language processing to automatically recommend at least one intelligent text to the user.
  • he intelligent text unit [102c] may identify the token as a word “lost” in a sentence “the team lost the match” to automatically recommend at least one intelligent text such as a motivational quote to the user.
  • the intelligent text unit [102c] may identify the token as the words “English” , “exam” and “Chapter 5” in a sentence “The course for the English exam tomorrow is Chapter 5” to automatically recommend a summary of Chapter 5 to the user.
  • the intelligent text unit [102c] is configured to determine at least one identifier for the input received from the input unit [102b] .
  • the at least one identifier may be a category, group or class of the content of the input received from the input unit [102b] in accordance with the present invention.
  • the at least one identifier may be motivational, sports, sad, inspirational, funny, quotes, one-liners, news, depressing, English course, comedy or any other category that be used to categorize the data received from the user.
  • the intelligent text unit [102c] may identify at least one identifier to be “happy” and “motivational” when the input “My cricket team has won” is received from the user.
  • the intelligent text unit [102c] may identify at least one identifier to be “loss” and “sad” when the input “My dog passed away” is received from the user.
  • the intelligent text unit [102c] is configured to generate at least one intelligent text.
  • the intelligent text unit [102c] is configured to generate at least one intelligent text based on the at least one determined identifier.
  • the invention encompasses that the intelligent text unit [102c] is configured to generate the at least one intelligent text being based on at least one data stored in a database [102e] .
  • the intelligent text unit [102c] is configured to generate the at least one intelligent text by using artificial intelligence.
  • the intelligent text unit [102c] is configured to retrieve at least one data stored in the database [102e] based on the at least one determined identifier. In a preferred embodiment, the intelligent text unit [102c] is configured to retrieve all the data from the database [102e] based on the at least one determined identifier. For example, the intelligent text unit [102c] is configured to retrieve all the data from the database [102e] based on the determined identifier “dance” . In another example, the intelligent text unit [102c] is configured to retrieve all the data from the database [102e] based on the determined identifiers “loss” and “plane” .
  • the intelligent text unit [102c] is further configured to process the at least one data retrieved from the database [102e] to generate at least one intelligent text.
  • the invention encompasses that the processing of the at least one data is based on the meta data received.
  • the intelligent text unit [102c] may process all the data received from one application to generate at least one intelligent text.
  • the intelligent text unit [102c] may process all the data received in a particular time period from two or more applications to generate at least one intelligent text.
  • the intelligent text unit [102c] is further configured to store the at least one generated intelligent text in the database [102e] .
  • the invention encompasses that the at least one intelligent text is stored in the database [102e] to be associated with at least one identifier.
  • the intelligent text unit [102c] is further configured to automatically recommend at least one intelligent text using artificial intelligence.
  • the generated at least one intelligent text is automatically recommended using the clipboard unit [102d] .
  • the clipboard unit [102d] is configured to receive an input from the input unit [102b] .
  • the clipboard unit [102d] is configured to receive at least one data as an input from the input unit [102b] .
  • the clipboard unit [102d] is configured to receive at least one copied data from an application. For example, a text displayed on the webpage of the browser application may be received as data by the clipboard unit [102d] .
  • a sentence copied by the user from an article may be received as data by the clipboard unit [102d]
  • the present invention encompasses that the clipboard unit [102d] is also configured to receive the at least one meta data associated with the at least one data received by the input unit [102b] .
  • the clipboard unit [102d] may receive the time at which the data was copied and the webpage link of the article from which the data was copied by the user.
  • the clipboard unit [102d] is further configured to store the at least one data received from at least one application in the database [102e] .
  • the invention encompasses that the at least one data received from at least one application is stored in the database [102e] to be associated with at least one identifier.
  • the clipboard unit [102d] is configured to receive at least one intelligent text from the intelligent text unit [102c] .
  • the clipboard unit [102d] is configured to automatically recommend at least one intelligent text to the user.
  • the clipboard unit [102d] is configured to automatically recommend at least one intelligent text to the user on the user interface [102a] .
  • the clipboard unit [102d] may automatically recommend a summary to the user.
  • the invention encompasses that the clipboard unit [102d] is configured to automatically recommend at least one intelligent text to the user as a notification on the user interface [102a] .
  • the notification may be a pop-up message, a message, an email, an overlay message and the like.
  • the notification may include an option for selection from the user.
  • the notification may include an option to display the at least one automatically recommended intelligent text and an option to cancel or not display the at least one automatically recommended intelligent text.
  • the notification may be a list with an option to display the two or more automatically recommended intelligent text.
  • the database [102e] is configured to store the at least one intelligent text.
  • the at least one intelligent text is stored in the database [102e] to be associated with at least one identifier.
  • the database [102e] is further configured to store the at least one data received from the user.
  • the at least one data is stored in the database [102e] to be associated with at least one identifier.
  • the database [102e] is configured to allow the user device [102] to execute various functional instructions and data processing by running software programs and modules.
  • the database [102e] may include, but is not limited to, a volatile memory, non-volatile memory, a remote storage, a cloud storage, high-speed random-access memory and/or non-volatile memory, such as one or more magnetic disk storage devices, one or more optical storage devices, and/or flash memory (e.g., NAND, NOR) or a combination thereof.
  • the database [102e] may further include memory remotely configured relative to user device [102] via a wireless communication network.
  • the intelligent text unit [102c] and the clipboard unit [102d] includes one or more processors, wherein processor refers to any logic circuitry for processing instructions.
  • the intelligent text unit [102c] and the clipboard unit [102d] may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc.
  • the intelligent text unit [102c] and the clipboard unit [102d] may perform signal coding data processing, input/output processing, and/or any other functionality that enables the working of the system [100] according to the present disclosure. More specifically, the intelligent text unit [102c] and the clipboard unit [102d] is a hardware processor/server.
  • Figure 2 illustrates a flow diagram depicting an exemplary method for automatically recommending at least one intelligent text to a user is disclosed in accordance with exemplary embodiments of the present invention.
  • the method begins at step 202, when an input is received from user by the input unit [102b] .
  • an input may be received may be received from the user to open an application.
  • the input may be to copy at least one data from an application.
  • the input received from the user may be to start an application to enter a text.
  • the input may be received to enter text in an application. For example, the user may click a soft button on a touch panel of the input unit [102b] to open a messaging application. In another example, the user may click on an input area to enter text in the messaging application.
  • the input received from the user may be to start a browsing application and may then click on a text displayed on the webpage of the browser application to copy a data.
  • the present invention encompasses that at least one meta data associated with the at least one data received from an application may be identified by the input unit [102b] .
  • the time of coping at least one sentence from an article and the source of the article may be identified.
  • the time of coping a quote from a webpage and the link of the webpage may be identified.
  • the invention encompasses that the at least one data copied from at least one application is sent to the clipboard unit [102d] by the input unit [102b] .
  • the clipboard unit [102d] may then store the at least one data copied from at least one application received by the input unit [102b] in the database [102e] .
  • the at least one data copied from at least one application is stored in the database [102e] .
  • the input received from the user may comprise of a token to automatically recommend at least one intelligent text.
  • the token may be the symbol “#” to automatically recommend at least at least one intelligent text such as a summary to the user.
  • the input received from the user is then transmitted to at least one of the intelligent text unit [102c] and the clipboard unit [102d] .
  • At step 204 upon receipt of the input, at least one identifier is determined for the input received from the user.
  • the input is received by the intelligent text unit [102c] .
  • the invention encompasses that a token is identified in the input received by the intelligent text unit [102c] .
  • the token is identified by the intelligent text unit [102c] using natural language processing.
  • the invention encompasses that the token may be identified as a word by the intelligent text using natural language processing to automatically recommend at least at least one intelligent text to the user. For example, a word “depressed” may be identified as a token in a sentence “My daughter is really depressed after he lost the dancing competition” to automatically recommend at least at least one intelligent text such as a motivational quote to the user.
  • words such as “happy” and “win” may be identified as tokens in a sentence “The class is every happy to win the tournament” to automatically recommend a happy idiom to the user.
  • the invention encompasses that at least one identifier is determined for the input received from the input unit [102b] .
  • the at least one identifier is determined by the intelligent text unit [102c] .
  • the at least one identifier may be motivational, sports, sad, inspirational, funny, quotes, one-liners, news, depressing, comedy or any other category that be used to categorize the data received from the user.
  • the invention encompasses that the at least one identifier is based on the at least one token identified in the input. For example, at least one identifier may be determined to be “motivational” when the input sentence “Ms. India has won the Miss World title” is received. In another example, at least one identifier may be determined to be “sad” when the input “My dog passed away” is received and the token is identified to be “passed away” .
  • At step 206 at least one intelligent text is generated.
  • the invention encompasses that the at least one intelligent text is generated by the intelligent text unit [102c] .
  • the at least one intelligent text is generated is based on the identifier determined for the input.
  • the invention encompasses that the at least one intelligent text is generated based on at least one data stored in a database [102e] .
  • the at least one data received from at least one application in the database [102e] by the clipboard unit [102d] .
  • the at least one data is stored in the database [102e] to be associated with at least one identifier.
  • the invention further encompasses that at least one meta data associated with the at least one data is also saved by the clipboard unit [102d] .
  • the clipboard unit [102d] may receive the time at which the data was copied and the webpage link of the article from which the data was copied by the user.
  • a text displayed on the webpage of the browser application may be received as data by the clipboard unit [102d] .
  • the clipboard unit [102d] may then save the text from the webpage in the database [102e] with an associated identifier.
  • a sentence copied by the user from an article may be received as data by the clipboard unit [102d] .
  • the clipboard unit [102d] may then save the sentence with the source of the article in the database [102e] with an associated identifier.
  • At least one data is retrieved from the database [102e] based on the at least one determined identifier.
  • all the data from the database [102e] is retrieved by the intelligent text unit [102c] based on the at least one determined identifier.
  • all the data is retrieved from the database [102e] based on the determined identifier “happy” .
  • all the data may be retrieved from the database [102e] based on the determined identifiers “loss” and “plane” .
  • the at least one data retrieved from the database [102e] is processed to generate at least one intelligent text by the intelligent text unit [102c] .
  • the at least one intelligent text is generated using artificial intelligence.
  • data received from two or more applications may be used to generate a summary using artificial intelligence.
  • the invention encompasses that the processing of the at least one data received from at least one application is based on the meta data received. For example, all the data received from one application may be processed to generate at least one intelligent text, such as a summary, as the source link will be the same. In another example, the data received in a particular time period from two or more applications may be processed to generate at least one intelligent text.
  • the invention encompasses that the at least one generated intelligent text may be stored by the intelligent text unit [102c] in the database [102e] .
  • the at least one intelligent text is stored in the database [102e] to be associated with at least one identifier. For example, a summary of an article may be stored in the database [102e] to be associated with the identifier “#Exam” .
  • the invention further encompasses that at least one intelligent text is automatically recommended using artificial intelligence by the intelligent text unit [102c] .
  • the intelligent text unit [102c] may recommend an inspirational poem and a motivational quote as intelligent text using artificial intelligence.
  • the intelligent text unit [102c] may recommend a summary of a Chapter as intelligent text using artificial intelligence.
  • the generated at least one intelligent text is then sent to the clipboard unit [102d] from the intelligent text unit [102c] to be automatically recommended to the user.
  • the automatically recommend at least one intelligent text is displayed by the clipboard unit [102d] to the user on the user interface [102a] . For example, a summary generated by the intelligent text unit [102c] to be sent to the clipboard unit [102d] to be automatically recommended to the user.
  • the at least one intelligent text is automatically recommended to the user on a user interface [102a] .
  • the at least one generated intelligent text is automatically recommended by the clipboard unit [102c] .
  • the invention encompasses that at least one intelligent text may be automatically recommended to the user as a notification displayed on the user interface [102a] .
  • the notification may be a pop-up message, a message, an email, an overlay message and the like.
  • the notification may include an option for selection from the user.
  • the notification may include an option to display the at least one automatically recommended intelligent text and an option to cancel or not display the at least one automatically recommended intelligent text.
  • the notification may be a list with an option to display two or more automatically recommended intelligent text.
  • a notification comprising of a list to display an inspirational poem and a motivational quote as intelligent text may be displayed to the user.
  • a notification may be displayed to the user with an option to display a summary of an article as intelligent text and an option to cancel.
  • At step 210 at least one intelligent text is displayed based on a response may be received from the user.
  • the at least one intelligent text is displayed to the user by the clipboard unit [102d] .
  • the invention encompasses that the response to the notification is received by the input unit [102b] .
  • the response may be a selection of an option of the notification displayed to the user.
  • the response may be to display the at least one intelligent text.
  • the response to a notification received from the user may be to not to display at least one intelligent text.
  • the response received to the notification may be the option to retrieve at least one intelligent text from the database [102e] .
  • a response may be received from the user to display an inspirational poem as intelligent text as a response to a notification.
  • a response may be received from the user to display a summary of an article as intelligent text.
  • the invention begins when an input is received from user to open a messaging application.
  • the user may then click on an input area to enter text in the messaging application.
  • the user may enter an input in the text area.
  • the invention encompasses that the input received from the user may comprise of a token to automatically recommend at least one intelligent text. For example, the user may enter the text “My dog died today” in the input area.
  • the input received from the user is then transmitted to at least one of the intelligent text unit [102c] and the clipboard unit [102d] .
  • At least one identifier is identified for the input received from the user by the intelligent text unit [102c] .
  • the invention encompasses that a token “died” may be identified in the input received by the intelligent text unit [102c] using natural language processing.
  • the invention encompasses that at least one identifier, such as “sad” may be determined for the input received from the user when the token is identified to be “died” .
  • the at least one identifier is determined by the intelligent text unit [102c] .
  • At least one intelligent text is generated by the intelligent text unit [102c] .
  • the at least one intelligent text is generated is based on the identifier determined for the input.
  • the invention encompasses that the at least one intelligent text is generated based on at least one data, such as quotes, for example, “Life must go on! ” , and “there are good days and bad days” stored in a database [102e] .
  • the quotes stored in the database [102e] may be received from a browser application.
  • the quotes may be stored in the database [102e] to be associated with the identifier “sad” .
  • the invention further encompasses that at least one meta data associated with the quotes, such as webpage link from the browsing application.
  • the intelligent text unit [102c] retrieves the sad quotes from the database [102e] based on using the determined identifier “sad” .
  • the quotes are then processed to generate at least one intelligent text by the intelligent text unit [102c] .
  • the intelligent text unit [102c] may combine the two quotes to generate one quote, intelligent text, such as “There are good days and bad days -Life must go on! ” .
  • the at least one intelligent text is generated using artificial intelligence.
  • the invention encompasses that the at least one generated intelligent text, quote, may be stored by the intelligent text unit [102c] in the database [102e] to be associated with the identifier “sad” .
  • the generated quote “There are good days and bad days -Life must go on! ” is then automatically recommended using artificial intelligence by the intelligent text unit [102c] .
  • the generated at least one intelligent text is then sent to the clipboard unit [102d] from the intelligent text unit [102c] to be automatically recommended to the user.
  • the automatically recommend at least one intelligent text is displayed by the clipboard unit [102d] to the user on the user interface [102a] .
  • the invention encompasses that the quote “There are good days and bad days -Life must go on! ” may be automatically recommended to the user as a notification with an option to display the quote and an option to cancel. Finally, a response may be received from the user to display the quote “There are good days and bad days -Life must go on! ” . The quote “There are good days and bad days -Life must go on! ” may then be displayed to the user.
  • the invention begins when an input is received from user to open a notes application.
  • the user may then click on an input area to enter text in the notes application.
  • the user may enter an input in the text area.
  • the invention encompasses that the input received from the user may comprise of a token to automatically recommend at least one intelligent text. For example, the user may enter the text “I have my #EnglishExam tomorrow on Chapter 27” in the input area.
  • the input received from the user is then transmitted to at least one of the intelligent text unit [102c] .
  • At least one identifier is identified for the input received from the user by the intelligent text unit [102c] .
  • the invention encompasses that the tokens “EnglishExam” and “Chapter 27” may be identified in the input received by the intelligent text unit [102c] using natural language processing.
  • identifiers “Exam” and “chapter 27” may be determined for the input received from the user when the tokens are identified to be “EnglishExam” and “Chapter 27” .
  • the identifiers are determined by the intelligent text unit [102c] .
  • At least one intelligent text is generated by the intelligent text unit [102c] .
  • the at least one intelligent text is generated is based the identifiers “EnglishExam” and “Chapter 27” determined for the input.
  • the invention encompasses that the at least one intelligent text is generated based on at least one data, such as various texts, comprising of excerpts from Chapter 27, may be stored in the database [102e] to be associated with the identifier “Chapter 27” .
  • the excerpts stored in the database [102e] may be received from an article.
  • the invention further encompasses that meta data associated with the excerpts, such as source of the article of “Chapter 27” may be stored.
  • the intelligent text unit [102c] retrieves all the excerpts from the database [102e] based on using the determined identifiers EnglishExam” and “Chapter 27” .
  • the excerpts are then processed to generate at least one intelligent text, such as a summary of all the excerpts, by the intelligent text unit [102c] using artificial intelligence.
  • the invention encompasses that the summary generated may be stored by the intelligent text unit [102c] in the database [102e] to be associated with the identifiers “EnglishExam” and “Chapter 27” .
  • the generated summary is then automatically recommended using artificial intelligence by the intelligent text unit [102c] .
  • the generated summary is sent to the clipboard unit [102d] to be automatically recommended to the user.
  • the automatically recommended summary is displayed by the clipboard unit [102d] to the user on the user interface [102a] .
  • the invention encompasses that the summary may be automatically recommended to the user as a notification with an option to display the summary and an option to cancel. Finally, a response may be received from the user to display the summary. The generated summary may then be displayed to the user.
  • the present disclosure provides for a method and system for automatically recommending at least one intelligent text to a user.
  • the present invention further provides for automatically suggesting meaningful and reliable text to the user based on the input received from the user.
  • the present invention provides for a mechanism that processes an input received from the user to suggest meaningful and intelligent predicted input to the user.
  • the units, interfaces, modules, and/or components depicted in the figures and described herein may be present in the form of a hardware, a software and a combination thereof. Connection/sshown between these units/components/modules/interfaces in the exemplary system architecture may interact with each other through various wired links, wireless links, logical links and/or physical links. Further, the units/components/modules/interfaces may be connected in other possible ways.

Abstract

The present invention provides for automatically recommending at least one intelligent text to a user. The invention commences when an input is received from the user. The invention encompasses that the input received from the user may comprise of at least one token. Upon receipt of the input, at least one identifier for the input is determined by an intelligent text unit. The at least one identifier is determined based on at least one token identified in the input. Thereafter, based on the determined identifier of the input at least one intelligent text is generated by the intelligent text unit. The at least one intelligent text is generated based on the at least one determined identifier of the input and at least one data stored in a database. Thereafter, at least one intelligent text is automatically recommended to the user using a clipboard unit.

Description

SYSTEM AND METHOD FOR AUTO-RECOMMENDING AT LEAST ONE INTELLIGENT TEXT TO A USER TECHNICAL FIELD
The present disclosure relates generally to recommendation of text, and more particularly, to a system and method for auto-recommending at least one intelligent text to a user.
BACKGROUND
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the overall field of the invention, and not as admissions of prior art.
With the strive to make tasks easier and more convenient for the user, technology has been evolved to predict the subsequent input that may be received from the user. However, most of the current mechanisms deal with the smooth transfer of data from one computer to another. This mechanism only provides for saving substantial time involved in copying an input at the device. However, this mechanism does not add any additional feature to the input predicted.
There are also certain mechanisms that provide for moving a displayed text from one application to another when support is not provided and when the displayed text is issued from a graphic application. However, these mechanisms also simply copy inputs from one source to another without processing the input to adding any value to predicted input. Further, most systems employ the optical character recognition mechanism to determine if the image is a character.
Moreover, it is pertinent to note that all the current mechanisms only allow the auto-suggestion of predicted words to the user is quite common in today’s messaging applications. The main aim for this feature is to save user’s time and automatically suggest the next word that may be input by the user. However, this mechanism also merely predicts words and does not process any input to add any value to predicted word.
However, there is no current mechanism that processes an input received from the user to suggest meaningful and intelligent input to the user as a predicted input. In fact, there is no mechanism that automatically suggests meaningful and reliable text to the user based on the input received from the user. For example, the user may have to form a summary of various excerpts copied from various webpages itself. There is currently no mechanism that may process the various excerpts copied from various webpages to automatically suggest a summary of the excerpts to the user.
Therefore, it is apparent from the aforementioned problems and limitations, that there exists a need to provide for a mechanism that processes an input received from the user to suggest meaningful and intelligent input to the user as a predicted input. Particularly, there is a need to automatically suggest meaningful and reliable text to the user based on the input received from the user. For example, the user may have to form a summary of various excerpts copied from various webpages itself. There is currently no mechanism that may process the various excerpts copied from various webpages to automatically suggest a summary of the excerpts to the user. There also exists a need to provide an efficient and reliable mechanism to process data received from the user to generate intelligent text that may be automatically suggested to a user.
SUMMARY OF THE INVENTION
This section is provided to introduce certain objects and aspects of the present invention in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter. In order to overcome at least a few problems associated with the known solutions as provided in the previous section, an object of the present invention is to provide for a system and method to automatically recommend at least one intelligent text to a user.
It is also an object of the present invention to provide for a mechanism that processes an input received from the user to suggest meaningful and intelligent predicted input to the user.
It is yet an object of the present invention to provide for automatic suggestion of meaningful and reliable text to the user based on the input received from the user.
It is yet an object of the present invention to provide for an efficient and reliable mechanism to process data received from the user to generate intelligent text that may be automatically suggested to a user.
In view of the aforesaid objects of the present invention, a first aspect of the present invention relates to a method for automatically recommending at least one intelligent text to a user. The invention commences when an input is received from the user. The invention encompasses that the input received from the user may comprise of at least one token. Upon receipt of the input, at least one identifier for the input is determined by an intelligent text unit. The at least one identifier is determined based on at least one token identified in the input. Thereafter, based on the determined identifier of the input at least one intelligent text is generated by the intelligent text unit. The at least one intelligent text is generated based on the at least one determined identifier of the input and at least one data stored in a database. Thereafter, at least one intelligent text is automatically recommended to the user using a clipboard unit.
Another aspect of the invention relates to a system for automatically recommending at least one intelligent text to a user. The system comprises an input unit, an intelligent text unit and a clipboard unit. The input unit is configured to receive an input from the user. The invention encompasses that the input received from the user comprises of at least one token. Thereafter, the intelligent text unit is configured to determine at least one identifier for the input. The at least one identifier is determined by the intelligent text unit based on at least one token identified in the input. The intelligent text unit is further configured to generate at least one intelligent text based on the determined identifier of the input The at least one intelligent text is generated based on the at least one determined identifier of the input and at least one data stored in a database. The clipboard unit then configured to automatically recommended the at least one generated intelligent text to the user on a user interface.
BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly  illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components or circuitry commonly used to implement such components. Although exemplary connections between sub-components have been shown in the accompanying drawings, it will be appreciated by those skilled in the art, that other connections may also be possible, without departing from the scope of the invention. All sub-components within a component may be connected to each other, unless otherwise indicated.
Figure 1 illustrates an architecture of a system for auto-recommending at least one intelligent text to a user, in accordance with exemplary embodiments of the present invention.
Figure 2 illustrates a flow diagram depicting an exemplary method for auto-recommending at least one intelligent text to a user, in accordance with exemplary embodiments of the present invention.
The foregoing shall be more apparent from the following more detailed description of the invention.
DETAILED DESCRIPTION OF THE INEVNTION
In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, that embodiments of the present invention may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein. Example embodiments of the present invention are described below, as illustrated in various drawings.
The present invention provides a method and system for automatically recommending at least one intelligent text to a user. The invention commences when an input is received from the user. The invention encompasses that the input received from the user may comprise of at least one token. Upon receipt of the input, at least one identifier for the input is determined by an  intelligent text unit. The at least one identifier is determined based on at least one token identified in the input. Thereafter, based on the determined identifier of the input at least one intelligent text is generated by the intelligent text unit. The at least one intelligent text is generated based on the at least one determined identifier of the input and at least one data stored in a database. Thereafter, at least one intelligent text is automatically recommended to the user using a clipboard unit.
As used herein, “connect” , “configure” , “couple” and its cognate terms, such as “connects” , “connected” , “configured” and “coupled” may include a physical connection (such as a wired/wireless connection) , a logical connection (such as through logical gates of semiconducting device) , other suitable connections, or a combination of such connections, as may be obvious to a skilled person.
As used herein, “send” , “transfer” , “transmit” , and their cognate terms like “sending” , “sent” , “transferring” , “transmitting” , “transferred” , “transmitted” , etc. include sending or transporting data or information from one unit or component to another unit or component, wherein the data or information may or may not be modified before or after sending, transferring, transmitting.
Referring to Figure 1, an exemplary implementation of a system for automatically recommending at least one intelligent text to a user. As shown, the system [100] comprises of a user device [102] comprising of a user interface [102a] , an input unit [102b] , an intelligent text unit [102c] , a clipboard unit [102d] and a database [102e] . Although the intelligent text unit [102c] , the clipboard unit [102d] and the database [102e] is shown to be a component of user device [102] in figure 1, the invention encompasses that these units and modules may be separate units and entities that may be connected to the user device [102] using any communication network, wired or wireless, configured to work in accordance with the working of the present invention, and without departing from the scope of the invention.
As used herein, the user device [102] refers to any electrical, electronic, electromechanical and computing device. The user device [102] may include, but is not limited to, a mobile phone, a smartphone, a tablet, a phone, a laptop, a wearable device, a personal digital assistant and any such device obvious to a person skilled in the art. It will be understood by those of ordinary skill in the art that the structure shown is merely illustrative and does not limit the structure of the system [100] .
Also, in Fig. 1 only one user device [102] is shown, however the system [100] may comprise of multiple such units and modules or the system [100] may comprise any such numbers of said units and modules, obvious to a person skilled in the art to implement the features of the present invention. Also, there may be one or more subunits of said units and modules of the system [100] or user device [102] and the same is not shown in the Fig. 1 for the purpose of clarity. It will be understood by those of ordinary skill in the art that the structure shown is merely illustrative and does not limit the structure of the system [100] or user device [102] . The system [100] or user device [102] may also include more or less components than those illustrated in Figure 1 or have a different configuration than that illustrated in this Figure 1.
The user interface [102a] is configured to display at least one icon, application, graphics, text, media, video, web page or an application window of the user device [102] . The user interface [102a] is configured to display at least one application to the user. The user interface [102a] may be comprise of a multi-touch interface such as the input unit [102b] . As used herein, an application refers to any self-contained or a group of computer software package (s) that performs a specific function directly for the user or, in some cases, for another application in accordance with the working of the present invention. An application can be programs designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user of the application installed on an user device [102] , including any application that uses at least one of the IP communication protocol and the non-IP communication protocol for transmission.
The user interface [102a] is further configured to display at least one intelligent text to the user. The at least one intelligent text may be displayed to the user as a notification to the user. The notification may be received from the clipboard unit [102d] . In a preferred embodiment, the notification may comprise of an option to the user to display at least one intelligent text. In another embodiment, the notification may comprise of an option to not display at least one intelligent text on the user interface [102a] .
The input unit [102b] is configured to receive an input from the user. An input may be received may be received from the user to open an application. The invention encompasses that an input may also be received may be received to copy at least one data from an application. In a preferred embodiment, an input may be received to enter text in an application. For example, the user may click a soft button on a touch panel of the input unit [102b] to open a webpage in a browser  application. In another example, the user may click on a text displayed on the webpage of the browser application to copy a data. In yet another example, the user may click on an input panel of the input unit [102b] to enter a text in an input area.
As used herein in this disclosure, an intelligent text refers to any paragraph, summary, article, poem, quote, idiom, phrase or any other meaningful and intelligent text, comprising of two or more words, that may be created by the intelligent text unit [102d] in accordance with the working of the present invention.
As used herein in this disclosure, at least one data refers to any sentence, paragraph or phrase or any other combination of words or text that may be copied by a user on the clipboard unit [102d] using the input unit [102b] in accordance with the working of the present invention.
The present invention encompasses that the input unit [102b] is also configured to identify at least one meta data associated with the at least one data received from an application. As used herein in this disclosure, the meta data includes the time at which the data was copied, source of the data such as a webpage link, name of the application such as a browser application and the link, in accordance with the working of the present invention.
The input unit [102b] is configured to allow a user to interact with the user device [102] through graphical icons and visual indicators, such as secondary notation, and any combination thereof. The invention encompasses that the input unit [102b] provides an interactive interface to the user. The invention encompasses that the input unit [102b] may include a touch panel configured to collect the user’s input. The invention further encompasses that the input unit [102b] may comprise of a touch panel, a soft keypad, a hard keypad (including buttons) and the like.
The input unit [102b] may be configured to receive the input from the user via a graphical user interface on the touch panel. As used herein, a “graphical user interface” may be a user interface that allows a user to interact with the user device [102] through graphical icons and visual indicators, such as secondary notation, and any combination thereof, and may comprise of a touch panel configured to receive an input using a touch screen interface. For example, the input unit [102b] may include a touch panel configured to collect the user’s input via touch operation, thereon or near, and using a finger or a stylus. The  invention encompasses that the detection of the touch on a graphical user interface of the user device [102] can be realized by various types such as resistive, capacitive, infrared, and surface acoustic waves.
The invention encompasses that the input received from the user may comprise of a token to automatically recommend at least one intelligent text. As used herein, a token is a trigger such as a character, number or a keyword that may be identified by the intelligent text unit [102c] to automatically recommend at least one intelligent text to the user. The intelligent text unit [102c] may identify the token in the input using natural language processing. In a preferred embodiment, the token may be identified by the intelligent text unit [102c] as a word in the input using natural language processing to automatically recommend at least at least one intelligent text to the user. For example, the token may be the symbol “#” to automatically recommend at least at least one intelligent text such as a summary to the user.
Further, the invention encompasses that the input unit [102b] is configured to receive a response to the notification displayed to the user. The input unit [102b] is configured to receive a selection of an option of the notification displayed to the user as a response. In a preferred embodiment, the response to a notification received from the user may be to display at least one intelligent text. In another embodiment, the response to a notification received from the user may be to not to display at least one intelligent text.
The input unit [102b] is further configured to transmit the input received from the user to at least one of the intelligent text unit [102c] and the clipboard unit [102d] .
The intelligent text unit [102c] is configured to receive an input from the input unit [102b] . The invention encompasses that intelligent text unit [102c] is also configured to identify at least one token in the input received from the input unit [102b] to automatically recommend at least one intelligent text. The invention encompasses that the intelligent text unit [102c] is configured to identify the token in the input received using natural language processing. In a preferred embodiment, the intelligent text unit [102c] is configured to identify the token as a word in the input using natural language processing to automatically recommend at least one intelligent text to the user. For example, he intelligent text unit [102c] may identify the token as a word “lost” in a sentence “the team lost the match” to automatically recommend at least one intelligent text such  as a motivational quote to the user. In another example, the intelligent text unit [102c] may identify the token as the words “English” , “exam” and “Chapter 5” in a sentence “The course for the English exam tomorrow is Chapter 5” to automatically recommend a summary of Chapter 5 to the user.
The intelligent text unit [102c] is configured to determine at least one identifier for the input received from the input unit [102b] . As used herein in this disclosure, the at least one identifier may be a category, group or class of the content of the input received from the input unit [102b] in accordance with the present invention. For example, the at least one identifier may be motivational, sports, sad, inspirational, funny, quotes, one-liners, news, depressing, English course, comedy or any other category that be used to categorize the data received from the user. For example, the intelligent text unit [102c] may identify at least one identifier to be “happy” and “motivational” when the input “My cricket team has won” is received from the user. In another example, the intelligent text unit [102c] may identify at least one identifier to be “loss” and “sad” when the input “My dog passed away” is received from the user.
The intelligent text unit [102c] is configured to generate at least one intelligent text. The intelligent text unit [102c] is configured to generate at least one intelligent text based on the at least one determined identifier. The invention encompasses that the intelligent text unit [102c] is configured to generate the at least one intelligent text being based on at least one data stored in a database [102e] . The intelligent text unit [102c] is configured to generate the at least one intelligent text by using artificial intelligence.
The intelligent text unit [102c] is configured to retrieve at least one data stored in the database [102e] based on the at least one determined identifier. In a preferred embodiment, the intelligent text unit [102c] is configured to retrieve all the data from the database [102e] based on the at least one determined identifier. For example, the intelligent text unit [102c] is configured to retrieve all the data from the database [102e] based on the determined identifier “dance” . In another example, the intelligent text unit [102c] is configured to retrieve all the data from the database [102e] based on the determined identifiers “loss” and “plane” .
The intelligent text unit [102c] is further configured to process the at least one data retrieved from the database [102e] to generate at least one intelligent text. The invention encompasses that the processing of the at least one data is based on the meta data received. For example, the intelligent text unit [102c] may process all the data received from one application to generate at least one intelligent text. In another example, the intelligent text unit [102c] may process all the data received in a particular time period from two or more applications to generate at least one intelligent text.
The intelligent text unit [102c] is further configured to store the at least one generated intelligent text in the database [102e] . The invention encompasses that the at least one intelligent text is stored in the database [102e] to be associated with at least one identifier.
The intelligent text unit [102c] is further configured to automatically recommend at least one intelligent text using artificial intelligence. The generated at least one intelligent text is automatically recommended using the clipboard unit [102d] .
The clipboard unit [102d] is configured to receive an input from the input unit [102b] . In a preferred embodiment, the clipboard unit [102d] is configured to receive at least one data as an input from the input unit [102b] . The clipboard unit [102d] is configured to receive at least one copied data from an application. For example, a text displayed on the webpage of the browser application may be received as data by the clipboard unit [102d] . For example, a sentence copied by the user from an article may be received as data by the clipboard unit [102d]
The present invention encompasses that the clipboard unit [102d] is also configured to receive the at least one meta data associated with the at least one data received by the input unit [102b] . For example, the clipboard unit [102d] may receive the time at which the data was copied and the webpage link of the article from which the data was copied by the user.
The clipboard unit [102d] is further configured to store the at least one data received from at least one application in the database [102e] . The invention encompasses that the at least one data received from at least one application is stored in the database [102e] to be associated with at least one identifier.
The clipboard unit [102d] is configured to receive at least one intelligent text from the intelligent text unit [102c] . The clipboard unit [102d] is configured to automatically recommend at least one intelligent text to the user. In a preferred embodiment, the clipboard unit [102d] is configured to automatically recommend at least one intelligent text to the user on the user interface [102a] . For example, the clipboard unit [102d] may automatically recommend a summary to the user.
The invention encompasses that the clipboard unit [102d] is configured to automatically recommend at least one intelligent text to the user as a notification on the user interface [102a] . The notification may be a pop-up message, a message, an email, an overlay message and the like. The notification may include an option for selection from the user. In a preferred embodiment, the notification may include an option to display the at least one automatically recommended intelligent text and an option to cancel or not display the at least one automatically recommended intelligent text. In another embodiment, the notification may be a list with an option to display the two or more automatically recommended intelligent text.
The database [102e] is configured to store the at least one intelligent text. The at least one intelligent text is stored in the database [102e] to be associated with at least one identifier. The database [102e] is further configured to store the at least one data received from the user. The at least one data is stored in the database [102e] to be associated with at least one identifier. The database [102e] is configured to allow the user device [102] to execute various functional instructions and data processing by running software programs and modules. The database [102e] may include, but is not limited to, a volatile memory, non-volatile memory, a remote storage, a cloud storage, high-speed random-access memory and/or non-volatile memory, such as one or more magnetic disk storage devices, one or more optical storage devices, and/or flash memory (e.g., NAND, NOR) or a combination thereof. In some embodiments, the database [102e] may further include memory remotely configured relative to user device [102] via a wireless communication network.
As used herein, the intelligent text unit [102c] and the clipboard unit [102d] includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. The intelligent text unit [102c] and the clipboard unit [102d] may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc.
The intelligent text unit [102c] and the clipboard unit [102d] may perform signal coding data processing, input/output processing, and/or any other functionality that enables the working of the system [100] according to the present disclosure. More specifically, the intelligent text unit [102c] and the clipboard unit [102d] is a hardware processor/server.
Although only one user device [102] has been shown in the Fig. 1, it will be appreciated by those skilled in the art that the invention may be implemented in any number of user devices [102] .
Figure 2 illustrates a flow diagram depicting an exemplary method for automatically recommending at least one intelligent text to a user is disclosed in accordance with exemplary embodiments of the present invention.
The method begins at step 202, when an input is received from user by the input unit [102b] . In an embodiment, an input may be received may be received from the user to open an application. In another embodiment, the input may be to copy at least one data from an application. In yet another embodiment, the input received from the user may be to start an application to enter a text. In yet another embodiment, the input may be received to enter text in an application. For example, the user may click a soft button on a touch panel of the input unit [102b] to open a messaging application. In another example, the user may click on an input area to enter text in the messaging application.
In yet another example, the input received from the user may be to start a browsing application and may then click on a text displayed on the webpage of the browser application to copy a data.
The present invention encompasses that at least one meta data associated with the at least one data received from an application may be identified by the input unit [102b] . For example, the time of coping at least one sentence from an article and the source of the article may be identified. In another example, the time of coping a quote from a webpage and the link of the webpage may be identified.
The invention encompasses that the at least one data copied from at least one application is sent to the clipboard unit [102d] by the input unit [102b] . The clipboard unit [102d] may then store the at least one data copied from at least one application  received by the input unit [102b] in the database [102e] . In a preferred embodiment, the at least one data copied from at least one application is stored in the database [102e] .
The invention encompasses that the input received from the user may comprise of a token to automatically recommend at least one intelligent text. For example, the token may be the symbol “#” to automatically recommend at least at least one intelligent text such as a summary to the user.
The input received from the user is then transmitted to at least one of the intelligent text unit [102c] and the clipboard unit [102d] .
At step 204, upon receipt of the input, at least one identifier is determined for the input received from the user. The input is received by the intelligent text unit [102c] .
The invention encompasses that a token is identified in the input received by the intelligent text unit [102c] . In a preferred embodiment, the token is identified by the intelligent text unit [102c] using natural language processing. The invention encompasses that the token may be identified as a word by the intelligent text using natural language processing to automatically recommend at least at least one intelligent text to the user. For example, a word “depressed” may be identified as a token in a sentence “My daughter is really depressed after he lost the dancing competition” to automatically recommend at least at least one intelligent text such as a motivational quote to the user. In another example, words such as “happy” and “win” may be identified as tokens in a sentence “The class is every happy to win the tournament” to automatically recommend a happy idiom to the user.
Further, the invention encompasses that at least one identifier is determined for the input received from the input unit [102b] . The at least one identifier is determined by the intelligent text unit [102c] . For example, the at least one identifier may be motivational, sports, sad, inspirational, funny, quotes, one-liners, news, depressing, comedy or any other category that be used to categorize the data received from the user. The invention encompasses that the at least one identifier is based on the at least one token identified in the input. For example, at least one identifier may be determined to be “motivational” when  the input sentence “Ms. India has won the Miss World title” is received. In another example, at least one identifier may be determined to be “sad” when the input “My dog passed away” is received and the token is identified to be “passed away” .
At step 206, at least one intelligent text is generated. The invention encompasses that the at least one intelligent text is generated by the intelligent text unit [102c] . The at least one intelligent text is generated is based on the identifier determined for the input.
The invention encompasses that the at least one intelligent text is generated based on at least one data stored in a database [102e] . The at least one data received from at least one application in the database [102e] by the clipboard unit [102d] . The at least one data is stored in the database [102e] to be associated with at least one identifier. The invention further encompasses that at least one meta data associated with the at least one data is also saved by the clipboard unit [102d] . For example, the clipboard unit [102d] may receive the time at which the data was copied and the webpage link of the article from which the data was copied by the user.
For example, a text displayed on the webpage of the browser application may be received as data by the clipboard unit [102d] . The clipboard unit [102d] may then save the text from the webpage in the database [102e] with an associated identifier. In another example, a sentence copied by the user from an article may be received as data by the clipboard unit [102d] . The clipboard unit [102d] may then save the sentence with the source of the article in the database [102e] with an associated identifier.
Thereafter, at least one data is retrieved from the database [102e] based on the at least one determined identifier. In a preferred embodiment, all the data from the database [102e] is retrieved by the intelligent text unit [102c] based on the at least one determined identifier. For example, all the data is retrieved from the database [102e] based on the determined identifier “happy” . In another example, all the data may be retrieved from the database [102e] based on the determined identifiers “loss” and “plane” .
The at least one data retrieved from the database [102e] is processed to generate at least one intelligent text by the intelligent text unit [102c] . In a preferred embodiment, the at least one intelligent text is generated using artificial intelligence. In an  example, data received from two or more applications may be used to generate a summary using artificial intelligence. The invention encompasses that the processing of the at least one data received from at least one application is based on the meta data received. For example, all the data received from one application may be processed to generate at least one intelligent text, such as a summary, as the source link will be the same. In another example, the data received in a particular time period from two or more applications may be processed to generate at least one intelligent text.
The invention encompasses that the at least one generated intelligent text may be stored by the intelligent text unit [102c] in the database [102e] . The at least one intelligent text is stored in the database [102e] to be associated with at least one identifier. For example, a summary of an article may be stored in the database [102e] to be associated with the identifier “#Exam” .
The invention further encompasses that at least one intelligent text is automatically recommended using artificial intelligence by the intelligent text unit [102c] . For example, if an input “My mother has recovered from illness” is received, the intelligent text unit [102c] may recommend an inspirational poem and a motivational quote as intelligent text using artificial intelligence. Further, in an input is received “#EnglishExam, then the intelligent text unit [102c] may recommend a summary of a Chapter as intelligent text using artificial intelligence.
The generated at least one intelligent text is then sent to the clipboard unit [102d] from the intelligent text unit [102c] to be automatically recommended to the user. The automatically recommend at least one intelligent text is displayed by the clipboard unit [102d] to the user on the user interface [102a] . For example, a summary generated by the intelligent text unit [102c] to be sent to the clipboard unit [102d] to be automatically recommended to the user.
At step 208, the at least one intelligent text is automatically recommended to the user on a user interface [102a] . The at least one generated intelligent text is automatically recommended by the clipboard unit [102c] .
The invention encompasses that at least one intelligent text may be automatically recommended to the user as a notification displayed on the user interface [102a] . The notification may be a pop-up message, a message, an email, an overlay message and the like. The notification may include an option for selection from the user. In a preferred embodiment, the notification  may include an option to display the at least one automatically recommended intelligent text and an option to cancel or not display the at least one automatically recommended intelligent text. In another embodiment, the notification may be a list with an option to display two or more automatically recommended intelligent text.
For example, a notification comprising of a list to display an inspirational poem and a motivational quote as intelligent text may be displayed to the user. In another example, a notification may be displayed to the user with an option to display a summary of an article as intelligent text and an option to cancel.
Finally, at step 210, at least one intelligent text is displayed based on a response may be received from the user. The at least one intelligent text is displayed to the user by the clipboard unit [102d] . The invention encompasses that the response to the notification is received by the input unit [102b] . The response may be a selection of an option of the notification displayed to the user. In a preferred embodiment, the response may be to display the at least one intelligent text. In another embodiment, the response to a notification received from the user may be to not to display at least one intelligent text. In yet another embodiment, the response received to the notification may be the option to retrieve at least one intelligent text from the database [102e] .
For example, a response may be received from the user to display an inspirational poem as intelligent text as a response to a notification. In another example, a response may be received from the user to display a summary of an article as intelligent text.
In an exemplary embodiment, the invention begins when an input is received from user to open a messaging application. The user may then click on an input area to enter text in the messaging application. Thereafter, the user may enter an input in the text area. The invention encompasses that the input received from the user may comprise of a token to automatically recommend at least one intelligent text. For example, the user may enter the text “My dog died today” in the input area. The input received from the user is then transmitted to at least one of the intelligent text unit [102c] and the clipboard unit [102d] .
Upon receipt of the input, at least one identifier is identified for the input received from the user by the intelligent text unit [102c] . The invention encompasses that a token “died” may be identified in the input received by the intelligent text unit [102c] using natural language processing.
Further, the invention encompasses that at least one identifier, such as “sad” may be determined for the input received from the user when the token is identified to be “died” . The at least one identifier is determined by the intelligent text unit [102c] .
Thereafter, at least one intelligent text is generated by the intelligent text unit [102c] . The at least one intelligent text is generated is based on the identifier determined for the input. The invention encompasses that the at least one intelligent text is generated based on at least one data, such as quotes, for example, “Life must go on! ” , and “there are good days and bad days” stored in a database [102e] . The quotes stored in the database [102e] may be received from a browser application. The quotes may be stored in the database [102e] to be associated with the identifier “sad” . The invention further encompasses that at least one meta data associated with the quotes, such as webpage link from the browsing application.
The intelligent text unit [102c] retrieves the sad quotes from the database [102e] based on using the determined identifier “sad” . The quotes are then processed to generate at least one intelligent text by the intelligent text unit [102c] . The intelligent text unit [102c] may combine the two quotes to generate one quote, intelligent text, such as “There are good days and bad days -Life must go on! ” . In a preferred embodiment, the at least one intelligent text is generated using artificial intelligence.
The invention encompasses that the at least one generated intelligent text, quote, may be stored by the intelligent text unit [102c] in the database [102e] to be associated with the identifier “sad” .
The generated quote “There are good days and bad days -Life must go on! ” is then automatically recommended using artificial intelligence by the intelligent text unit [102c] . The generated at least one intelligent text is then sent to the clipboard unit [102d] from the intelligent text unit [102c] to be automatically recommended to the user. The automatically recommend at least one intelligent text is displayed by the clipboard unit [102d] to the user on the user interface [102a] .
The invention encompasses that the quote “There are good days and bad days -Life must go on! ” may be automatically recommended to the user as a notification with an option to display the quote and an option to cancel. Finally, a response may be received from the user to display the quote “There are good days and bad days -Life must go on! ” . The quote “There are good days and bad days -Life must go on! ” may then be displayed to the user.
In another exemplary embodiment, the invention begins when an input is received from user to open a notes application. The user may then click on an input area to enter text in the notes application. Thereafter, the user may enter an input in the text area. The invention encompasses that the input received from the user may comprise of a token to automatically recommend at least one intelligent text. For example, the user may enter the text “I have my #EnglishExam tomorrow on Chapter 27” in the input area. The input received from the user is then transmitted to at least one of the intelligent text unit [102c] .
Upon receipt of the input, at least one identifier is identified for the input received from the user by the intelligent text unit [102c] . The invention encompasses that the tokens “EnglishExam” and “Chapter 27” may be identified in the input received by the intelligent text unit [102c] using natural language processing.
Further, the invention encompasses that identifiers “Exam” and “chapter 27” may be determined for the input received from the user when the tokens are identified to be “EnglishExam” and “Chapter 27” . The identifiers are determined by the intelligent text unit [102c] .
Thereafter, at least one intelligent text is generated by the intelligent text unit [102c] . The at least one intelligent text is generated is based the identifiers “EnglishExam” and “Chapter 27” determined for the input. The invention encompasses that the at least one intelligent text is generated based on at least one data, such as various texts, comprising of excerpts from Chapter 27, may be stored in the database [102e] to be associated with the identifier “Chapter 27” . The excerpts stored in the database [102e] may be received from an article. The invention further encompasses that meta data associated with the excerpts, such as source of the article of “Chapter 27” may be stored.
The intelligent text unit [102c] retrieves all the excerpts from the database [102e] based on using the determined identifiers EnglishExam” and “Chapter 27” . The excerpts are then processed to generate at least one intelligent text, such as a summary  of all the excerpts, by the intelligent text unit [102c] using artificial intelligence. The invention encompasses that the summary generated may be stored by the intelligent text unit [102c] in the database [102e] to be associated with the identifiers “EnglishExam” and “Chapter 27” . The generated summary is then automatically recommended using artificial intelligence by the intelligent text unit [102c] . The generated summary is sent to the clipboard unit [102d] to be automatically recommended to the user. The automatically recommended summary is displayed by the clipboard unit [102d] to the user on the user interface [102a] .
The invention encompasses that the summary may be automatically recommended to the user as a notification with an option to display the summary and an option to cancel. Finally, a response may be received from the user to display the summary. The generated summary may then be displayed to the user.
As evident from the above description, the present disclosure provides for a method and system for automatically recommending at least one intelligent text to a user. The present invention further provides for automatically suggesting meaningful and reliable text to the user based on the input received from the user. Particularly, the present invention provides for a mechanism that processes an input received from the user to suggest meaningful and intelligent predicted input to the user. Hence, the present invention results in significant technical advancement over the prior art systems.
The units, interfaces, modules, and/or components depicted in the figures and described herein may be present in the form of a hardware, a software and a combination thereof. Connection/sshown between these units/components/modules/interfaces in the exemplary system architecture may interact with each other through various wired links, wireless links, logical links and/or physical links. Further, the units/components/modules/interfaces may be connected in other possible ways.
While considerable emphasis has been placed herein on the disclosed embodiments, it will be appreciated by those skilled in the art that many changes can be made to the embodiments disclosed herein without departing from the principles and scope of the present invention.

Claims (16)

  1. A method for automatically recommending at least one intelligent text to a user, the method comprising,
    - receiving, by an input unit [102b] , an input from the user, the input comprising of at least one token,
    - determining, by an intelligent text unit [102c] , at least one identifier based on at least one token identified for the input received from the user,
    - generating, by the intelligent text unit [102c] , at least one intelligent text based on the at least one identifier and at least one data stored in a database [102e] ,
    - automatically recommending, by a clipboard unit [102d] , the at least one intelligent text to the user on a user interface [102a] .
  2. The method as claimed in claim 1, further comprising,
    - displaying, by the clipboard unit [102d] , a notification to the user, and
    - receiving, by the input unit [102b] , a response to display the at least one intelligent text.
  3. The method as claimed in claim 1, further comprising,
    - receiving, by the clipboard unit [102d] , the at least one data and at least one meta data from the input unit [102b] , and
    - processing, by the intelligent text module [102c] , the at least one data to generate at least one intelligent text.
  4. The method as claimed in claim 1 and 2, further comprising storing, by the intelligent text unit [102c] , the at least one intelligent text in the database [102e] .
  5. The method as claimed in claim 1, wherein the at least one data is stored in the database [102e] to be associated with at least one identifier.
  6. The method as claimed in claim 1, wherein the at least one intelligent text is generated by the intelligent text unit [102c] using artificial intelligence.
  7. The method as claimed in claim 1, wherein the at least one intelligent text is automatically recommended using artificial intelligence.
  8. The method as claimed in claim 1, wherein the at least one token is identified using natural language processing.
  9. A system [100] for automatically recommending at least one intelligent text to a user, the system [100] comprising,
    - an input unit [102b] configured to receive an input from the user, the input comprising of at least one token,
    - an intelligent text unit [102c] , connected to the input unit [102b] , configured to determine at least one identifier based on at least one token identified for the input received from the user, and
    - a clipboard unit [102d] , connected to the intelligent text unit [102c] , configured to automatically recommend at least one intelligent text to the user on a user interface [102a] ,
    wherein,
    - the intelligent text unit [102c] is further configured to generate the at least one intelligent text based on the at least one identifier and at least one data stored in a database [102e] .
  10. The system as claimed in claim 9, wherein
    - the clipboard unit [102d] is further configured to display a notification to the user, and
    - the input unit [102b] is receive a response to display the at least one intelligent text.
  11. The system as claimed in claim 9, wherein
    - the clipboard unit [102d] is further configured to receive the at least one data and at least one meta data from the input unit [102b] , and
    - the intelligent text module [102c] is further configured to process the at least one data to generate at least one intelligent text.
  12. The system as claimed in claim 9 and 10, wherein the intelligent text module [102c] is further configured to store the at least one intelligent text in the database [102e] .
  13. The system as claimed in claim 9, wherein the database [102e] is further configured to store the at least one data to be associated with at least one identifier.
  14. The system as claimed in claim 9, wherein the at least one intelligent text is generated by the intelligent text unit [102c] using artificial intelligence.
  15. The system as claimed in claim 9, wherein the clipboard unit [102d] is further configured to automatically recommend the at least one intelligent text using artificial intelligence.
  16. The system as claimed in claim 7, wherein the intelligent text module [102c] is configured to identify at least one token in the input using natural language processing.
PCT/CN2021/080068 2020-05-15 2021-03-10 System and method for auto-recommending at least one intelligent text to a user WO2021227632A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN202041020634 2020-05-15
IN202041020634 2020-05-15

Publications (1)

Publication Number Publication Date
WO2021227632A1 true WO2021227632A1 (en) 2021-11-18

Family

ID=78526401

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/080068 WO2021227632A1 (en) 2020-05-15 2021-03-10 System and method for auto-recommending at least one intelligent text to a user

Country Status (1)

Country Link
WO (1) WO2021227632A1 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104239537A (en) * 2014-09-22 2014-12-24 国云科技股份有限公司 Method for realizing generating and processing flow for large-data pre-processing text data
CN104331476A (en) * 2014-11-04 2015-02-04 周艳 Real-time content recommending method of content transaction field
CN104428764A (en) * 2012-06-29 2015-03-18 汤姆森路透社全球资源公司 Systems, methods, and software for processing, presenting, and recommending citations
CN106033415A (en) * 2015-03-09 2016-10-19 深圳市腾讯计算机系统有限公司 A text content recommendation method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104428764A (en) * 2012-06-29 2015-03-18 汤姆森路透社全球资源公司 Systems, methods, and software for processing, presenting, and recommending citations
CN104239537A (en) * 2014-09-22 2014-12-24 国云科技股份有限公司 Method for realizing generating and processing flow for large-data pre-processing text data
CN104331476A (en) * 2014-11-04 2015-02-04 周艳 Real-time content recommending method of content transaction field
CN106033415A (en) * 2015-03-09 2016-10-19 深圳市腾讯计算机系统有限公司 A text content recommendation method and device

Similar Documents

Publication Publication Date Title
US10489507B2 (en) Text correction for dyslexic users on an online social network
US20180232378A1 (en) Default Suggested Queries on Online Social Networks
US9652556B2 (en) Search suggestions based on viewport content
US8935237B2 (en) Presenting search results in hierarchical form
KR102101616B1 (en) Natural-language rendering of structured search queries
US10515151B2 (en) Concept identification and capture
US8868603B2 (en) Ambiguous structured search queries on online social networks
US20240007424A1 (en) Method, apparatus, system, and non-transitory computer readable medium for controlling user access through content analysis of an application
US20160154556A1 (en) Techniques for enhancing group communication on a mobile device
US7962465B2 (en) Contextual syndication platform
MX2015006040A (en) Grammar model for structured search queries.
TWI828888B (en) Thread of conversation displaying method, computer readable recording medium and computer device
US20170221109A1 (en) Ads management in a browser application
US10915697B1 (en) Computer-implemented presentation of synonyms based on syntactic dependency
US20160259547A1 (en) Techniques for predicting user input on touch screen devices
US20190265851A1 (en) Platform for third-party supplied calls-to-action
WO2022257840A1 (en) Information display method and apparatus, electronic device, and readable storage medium
KR20160017103A (en) Ambiguous structured search queries on online social networks
US11874893B2 (en) Modularizing and embedding supplemental textual and visual content in different environments
CN112416142A (en) Method and device for inputting characters and electronic equipment
WO2021227632A1 (en) System and method for auto-recommending at least one intelligent text to a user
WO2022222821A1 (en) Information display method and apparatus
US11886816B2 (en) Bot dialog manager
US11030448B2 (en) Method for recommending one or more actions and an electronic device thereof
US20230034085A1 (en) Score prediction using hierarchical attention

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21804187

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21804187

Country of ref document: EP

Kind code of ref document: A1