WO2016099432A1 - Système de rehaussement de contenu collaboratif - Google Patents

Système de rehaussement de contenu collaboratif Download PDF

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Publication number
WO2016099432A1
WO2016099432A1 PCT/TR2015/050256 TR2015050256W WO2016099432A1 WO 2016099432 A1 WO2016099432 A1 WO 2016099432A1 TR 2015050256 W TR2015050256 W TR 2015050256W WO 2016099432 A1 WO2016099432 A1 WO 2016099432A1
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WIPO (PCT)
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user
content
users
feedback
generated
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PCT/TR2015/050256
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English (en)
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Ahmet Burak Olcen
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Ahmet Burak Olcen
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Publication of WO2016099432A1 publication Critical patent/WO2016099432A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/604—Tools and structures for managing or administering access control systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database

Definitions

  • FIG. 1 depicts a diagram of an example of a system for publishing user-generated content based on a user score of users who created or provided feedback to the user-generated content.
  • FIGs. 2A and 2B depict a flowchart of an example of a method for publishing user-generated content based on a user score of users who created or provided feedback to the user-generated content.
  • FIG. 1 depicts a diagram 100 of an example of a system for publishing user-generated content based on user score of users who created or provided feedback to the user-generated content.
  • the system of the example of FIG. 1 includes a computer-readable medium 102, a user device 104-1 ... user device 104-n (hereinafter referred to as "user devices 104"), a user-generated content datastore 106, a restricted access content publishing system 108, a user score-based public access content publishing system 110, a scoring guide datastore 112, a content feedback-based user scoring system 114, and a user datastore 116.
  • the user devices 104, the user- generated content datastore 106, the restricted access content publishing system 108, the user score -based public access content publishing system 110, the scoring guide datastore 112, the content feedback-based user scoring system 114, and the user datastore 116 are coupled to each other through the computer-readable medium 102.
  • a "computer-readable medium” is intended to include all mediums that are statutory (e.g., in the United States, under 35 U.S.C. 101), and to specifically exclude all mediums that are non-statutory in nature to the extent that the exclusion is necessary for a claim that includes the computer-readable medium to be valid.
  • Known statutory computer-readable mediums include hardware (e.g., registers, random access memory (RAM), non-volatile (NV) storage, to name a few), but may or may not be limited to hardware.
  • the computer-readable medium 102 is intended to represent a variety of potentially applicable technologies.
  • the computer-readable medium 102 can be used to form a network or part of a network.
  • the computer-readable medium 102 can include a bus or other data conduit or plane.
  • the computer-readable medium 102 can include a wireless or wired back-end network or LAN.
  • the computer-readable medium 102 can also encompass a relevant portion of a WAN or other network, if applicable.
  • the computer-readable medium 102, the user devices 104, the restricted access content publishing system 108, the user score -based public access content publishing system 110, the content feedback-based user scoring system 114, and other applicable systems, or devices described in this paper can be implemented as a computer system, a plurality of computer systems, or parts of a computer system or a plurality of computer systems.
  • a computer system will include a processor, memory, non-volatile storage, and an interface.
  • a typical computer system will usually include at least a processor, memory, and a device (e.g., a bus) coupling the memory to the processor.
  • the processor can be, for example, a general- purpose central processing unit (CPU), such as a microprocessor, or a special-purpose processor, such as a microcontroller.
  • the memory can include, by way of example but not limitation, random access memory (RAM), such as dynamic RAM (DRAM) and static RAM (SRAM).
  • RAM random access memory
  • DRAM dynamic RAM
  • SRAM static RAM
  • the memory can be local, remote, or distributed.
  • the bus can also couple the processor to non-volatile storage.
  • the non-volatile storage is often a magnetic floppy or hard disk, a magnetic-optical disk, an optical disk, a read-only memory (ROM), such as a CD-ROM, EPROM, or EEPROM, a magnetic or optical card, or another form of storage for large amounts of data. Some of this data is often written, by a direct memory access process, into memory during execution of software on the computer system.
  • the non-volatile storage can be local, remote, or distributed.
  • the non-volatile storage is optional because systems can be created with all applicable data available in memory.
  • Software is typically stored in the non-volatile storage. Indeed, for large programs, it may not even be possible to store the entire program in the memory. Nevertheless, it should be understood that for software to run, if necessary, it is moved to a computer -readable location appropriate for processing, and for illustrative purposes, that location is referred to as the memory in this paper. Even when software is moved to the memory for execution, the processor will typically make use of hardware registers to store values associated with the software, and local cache that, ideally, serves to speed up execution.
  • a software program is assumed to be stored at an applicable known or convenient location (from non-volatile storage to hardware registers) when the software program is referred to as "implemented in a computer- readable storage medium.”
  • a processor is considered to be “configured to execute a program” when at least one value associated with the program is stored in a register readable by the processor.
  • a computer system can be controlled by operating system software, which is a software program that includes a file management system, such as a disk operating system.
  • operating system software is a software program that includes a file management system, such as a disk operating system.
  • file management system is typically stored in the non-volatile storage and causes the processor to execute the various acts required by the operating system to input and output data and to store data in the memory, including storing files on the non-volatile storage.
  • the bus can also couple the processor to the interface.
  • the interface can include one or more input and/or output (I/O) devices.
  • the I/O devices can include, by way of example but not limitation, a keyboard, a mouse or other pointing device, disk drives, printers, a scanner, and other I/O devices, including a display device.
  • the display device can include, by way of example but not limitation, a cathode ray tube (CRT), liquid crystal display (LCD), or some other applicable known or convenient display device.
  • the interface can include one or more of a modem or network interface. It will be appreciated that a modem or network interface can be considered to be part of the computer system.
  • the interface can include an analog modem, isdn modem, cable modem, token ring interface, satellite transmission interface (e.g. "direct PC"), or other interfaces for coupling a computer system to other computer systems. Interfaces enable computer systems and other devices to be coupled together in a network.
  • the computer systems can be compatible with or implemented as part of or through a cloud-based computing system.
  • a cloud-based computing system is a system that provides virtualized computing resources, software and/or information to client devices.
  • the computing resources, software and/or information can be virtualized by maintaining centralized services and resources that the edge devices can access over a communication interface, such as a network.
  • "Cloud” may be a marketing term and for the purposes of this paper can include any of the networks described herein.
  • the cloud-based computing system can involve a subscription for services or use a utility pricing model. Users can access the protocols of the cloud-based computing system through a web browser or other container application located on their client device.
  • a computer system can be implemented as an engine, as part of an engine, or through multiple engines.
  • an engine includes at least two components: 1) a dedicated or shared processor and 2) hardware, firmware, and/or software modules that are executed by the processor.
  • an engine can be centralized or its functionality distributed.
  • An engine can include special purpose hardware, firmware, or software embodied in a computer-readable medium for execution by the processor.
  • the processor transforms data into new data using implemented data structures and methods, such as is described with reference to the FIGs. in this paper.
  • the engines described in this paper, or the engines through which the systems and devices described in this paper can be implemented, can be cloud-based engines.
  • a cloud-based engine is an engine that can run applications and/or functionalities using a cloud-based computing system. All or portions of the applications and/or functionalities can be distributed across multiple computing devices, and need not be restricted to only one computing device.
  • the cloud-based engines can execute functionalities and/or modules that end users access through a web browser or container application without having the functionalities and/or modules installed locally on the end-users' computing devices.
  • datastores are intended to include repositories having any applicable organization of data, including tables, comma-separated values (CSV) files, traditional databases (e.g., SQL), or other applicable known or convenient organizational formats.
  • Datastores can be implemented, for example, as software embodied in a physical computer-readable medium on a general- or specific -purpose machine, in firmware, in hardware, in a combination thereof, or in an applicable known or convenient device or system.
  • Datastore- associated components such as database interfaces, can be considered "part of" a datastore, part of some other system component, or a combination thereof, though the physical location and other characteristics of datastore-associated components is not critical for an understanding of the techniques described in this paper.
  • Datastores can include data structures.
  • a data structure is associated with a particular way of storing and organizing data in a computer so that it can be used efficiently within a given context.
  • Data structures are generally based on the ability of a computer to fetch and store data at any place in its memory, specified by an address, a bit string that can be itself stored in memory and manipulated by the program.
  • some data structures are based on computing the addresses of data items with arithmetic operations; while other data structures are based on storing addresses of data items within the structure itself.
  • Many data structures use both principles, sometimes combined in non-trivial ways.
  • the implementation of a data structure usually entails writing a set of procedures that create and manipulate instances of that structure.
  • the datastores, described in this paper can be cloud-based datastores.
  • a cloud-based datastore is a datastore that is compatible with cloud-based computing systems and engines.
  • the user devices 104 function according to applicable devices for sending and receiving data for publishing user-generated content according to user score of users.
  • the user devices 104 can function to send user-generated content that can be published.
  • Content includes applicable media that can be perceived by a human.
  • content can include text, audio, images, and/or video.
  • at least a portion of user-generated content created by a user can be created by another person or entity.
  • the user devices 104 can receive data used by a user in perceiving published user-generated content.
  • the user devices 104 can receive data used to display text to a user.
  • the user devices 104 can transmit feedback data indicating feedback for published user-generated content.
  • the user devices 104 can transmit feedback data indicating that a user likes published user-generated content.
  • the user-generated content datastore 106 functions to store user-generated content data for user-generated content.
  • User-Generated content data can include data used in presenting content to a user and data indicating a content category of the content.
  • Content categories include divisions which user-generated content can be classified into based upon characteristics of the user-generated content.
  • content categories can be defined according to subject matter of content. For example, content categories can be defined based on regions, e.g. countries or cities, related to subject matter of the content. In another example, content categories can be defined based on whether subject matter of the content is an opinion or is news.
  • content categories can be defined according to the medium through which content is perceived by humans. For example, separate content categories can be defined for audio content and video content.
  • User-Generated content data stored in the user-generated content datastore 106 can be received from a user who generated the content through a user device associated with the user.
  • the restricted access content publishing system 108 functions to publish user-generated content through a restricted access platform.
  • a restricted access platform is a platform in which access to content published through the platform is limited to certain users, e.g. public access to the content is regulated and the platform serves as a "Back Page".
  • the restricted access content publishing system 108 can be configured to publish user-generated content through a restricted access platform in which only registered users are allowed to perceive the user-generated content.
  • user-generated content published through a restricted access platform by the restricted access content publishing system 108 is generated by registered users.
  • the restricted access content publishing system 108 functions to receive feedback from users who perceive content published by the restricted access content publishing system 108.
  • feedback includes whether a user approves/endorses user-generated content, e.g. likes the user-generated content.
  • only registered users can be allowed to provide feedback for user-generated content published by the restricted access content publishing system 108.
  • the user score-based public access content publishing system 110 functions to publish user- generated content through a publicly accessible platform.
  • a publicly accessible platform is a platform in which the public can access content published through the platform, e.g. a "Front Page".
  • the user score-based public access content publishing system 110 can be configured to publish user-generated content through a publicly accessible platform in which the public is allowed to perceive the user-generated content.
  • user-generated content published through the user score -based public access content publishing system 110 is generated by registered users.
  • the user score-based public access content publishing system 110 functions to receive feedback from the public users who perceive content published by the user score -based public access content publishing system 110.
  • feedback includes whether a public user likes the user-generated content.
  • the user score-based public access content publishing system 110 functions to publish user-generated content according to a score of a user who gives feedback for the user-generated content, e.g. publishes through a ticking process.
  • the user score-based public access content publishing system 110 can publish user-generated content first published by the restricted access content publishing system 108 through a restricted access platform.
  • the user score -based public access content publishing system 110 can publish user-generated content based on feedback received for the user-generated content by the restricted access content publishing system 108.
  • the user score-based public access content publishing system 110 can publish the user-generated content according to a score of a user who provided feedback to the restricted access content publishing system 108.
  • the user score-based public access content publishing content system 1 10 can determine user- generated content to publish according to user scores of users who provide feedback of the user-generated content as published by the restricted access content publishing system 108. Depending upon implementation-specific or other considerations, in determining user-generated content to publish according to user scores of users who provide feedback of the user-generated content, the user score -based public access content publishing system 110 can select the user- generated content with feedback from a user with the highest user score.
  • first user with a user score of 10 For example, if first user with a user score of 10, second user with a user score of 50 and third user with a user score of 70 provide feedback for first user-generated content published by the restricted access content publishing system 108 and fourth user with a user score of 30 and fifth user with a user score of 80 provide feedback for second user-generated content published by the restricted access content publishing system 108, then the user score -based public access content publishing system 110 can determine to publish the second user-generated content, because 80 is the highest.
  • the user score -based public access content publishing system 1 10 can select the user-generated content with feedback from a user with a user score exceeding a user score threshold. For example, if a user score threshold is 75, a first user with a user score of 100 provides feedback for first user-generated content published by the restricted access content publishing system 108 and a second user with a user score of 50 provides feedback for second user-generated content published by the restricted access content publishing system 108, then the user score -based public access content publishing system 110 can determine to publish the first user-generated content and not to publish the second user- generated content.
  • the user score-based public access content publishing system 110 can determine user- generated content to publish according to user scores of users who provide feedback of the user-generated content and content categories of the user-generated content. Depending upon implementation-specific or other considerations, the user score -based public access content publishing system 110 can publish user-generated content based on a threshold user score for a content category. For example if a content category of first user- generated content has a threshold user score of 50 and a user with a user score of 100 has provided feedback for the first user-generated content to the restricted access content publishing system 108, then the user score -based public access content publishing system 110 can determine to publish the first user-generated content.
  • the user score-based public access content publishing system 110 can determine a user score of a user who provides feedback according to a content category of the user-generated content. For example, if a user who provides feedback for first user-generated content has a user score of 50 for a news content category and a user score of 100 for an opinion content category, and the first user-generated content is opinion content, then the user score -based public access content publishing system 110 can determine a user score associated with the first user-generated content is 100.
  • the user score-based public access content publishing system 110 can publish content of user-generated content at the end of a specified time periodically , e.g. a tick period. Depending upon implementation- specific or other considerations, if after a specific amount of time has passed since last publish by the user score-based public access content publishing system 110, the user score -based public access content publishing system 110 can determine which content of the user- generated content has received feedback from a user with a highest user score to determine which content of the user-generated content to publish.
  • the user score-based public access content publishing system 110 can determine which content of the user-generated content has received feedback from a user with a user score exceeding a user score threshold to determine which content of the user- generated content to publish.
  • the user score-based public access content publishing system 110 can determine a length of a tick period based on content categories of user-generated content. For example, the user score -based public access content publishing system 110 can determine an tick period for user-generated content in a news content category is 2 hours, while a tick period for user-generated content in an opinion content category is 1 hour.
  • the user score -based public access content publishing system 110 can determine whether to publish the user-generated content based on a user score of a user who generates the user-generated content.
  • the user score-based public access content publishing system 1 10 can determine whether to publish user-generated content based on a user score of a user who generated the user-generated content if another user has failed to provide feedback for the user-generated content.
  • the user score- based public access content publishing system 110 can determine whether to publish user-generated content based on a user score of a user who generated the user-generated content if the user who generated the user-generated content has a higher user score than user who provide feedback for the user-generated content.
  • a user score associated with user-generated content is one less than a user score of a user who generated the user-generated content. For example if a user who generated user-generated content has a user score of 10, then a user score associated with the user-generated can be 9.
  • the user score-based public access content publishing system 110 instructs the restricted access content publishing system 108 to cease publication of user-generated content according to an amount of time the user-generated content has been published by the restricted access content publishing system 108, e.g. an evolution time.
  • the user score -based public access content publishing system 1 10 can instruct the restricted access content publishing system 108 to cease publication of the user-generated content.
  • the user score-based public access content publishing system 1 10 determines an evolution time for user-generated content is 1 week, then the user score-based public access content publishing system 110 can instruct the restricted access content publishing system 108 to cease publication of the user-generated content after it has been published for a week.
  • the scoring guide datastore 112 functions to store scoring guide data indicating scoring conditions for scoring a user.
  • conditions for scoring a user specify how to score a user based on received for user-generated content created or given feedback by the user.
  • scoring conditions can be specific to a content category of user-generated content and/or a region associated with a user who creates or provides feedback for user-generated content.
  • the content feedback -based user scoring system 114 functions to determine a user score of a user based on feedback received from other users or the public for content generated by the user.
  • the content feedback-based user scoring system 114 can determine a user score of a user who created user-generated content based on the highest user score of other users who provide feedback for the user-generated content. For example, if 5 users with user scores 10, 20, 35, 40, 60 provide feedback for user-generated content created by a user, then the content feedback-based user scoring system 114 can determine a user score of the user is 60.
  • the content feedback-based user scoring system 114 can determine a score of a user based on content generated by the user and published by the restricted access content publishing system 108. Depending upon implementation- specific or other considerations, if the content generated by the user has been published by the user-score based public access content publishing system 110, the content feedback -based user scoring system 114 can determine a user score of a user who created user-generated content based on the public users who provide feedback for the user-generated content. For example, if 50 public users like user-generated content created by a user, then the content feedback-based user scoring system 114 can determine a user score of the user is 50.
  • the content feedback-based user scoring system 114 can determine a score of a user based on content generated by the user and published by the user-score based public access content publishing system 110. Further depending upon implementation-specific or other considerations, the content feedback -based user scoring system 114 can adjust an already existing user score of a user based on feedback of published new user- generated content created by the user. For example, if a user has a user score of 20 and new user- generated content created by the user only gets feedback from a user with a user score of 10, then the content feedback-based user scoring system 114 can adjust the user score of the user to be 15.
  • the content feedback-based user scoring system 114 can average the already existing score with a user score in response to published new user-generated content created by the user. Depending upon implementation-specific or other considerations, in adjusting an already existing user score of a user, the content feedback -based user scoring system 114 can make use of a weighted average calculation.
  • the content feedback -based user scoring system 114 functions to determine a user score of a user based on user-generated content created by other users in which the user provides feedback.
  • the content feedback-based user scoring system 114 can determine a user score of a user based on a value of user-generated content for which the user has provided feedback.
  • a value of user-generated content can include the highest user score of users who provide feedback for the user-generated content if the content generated by the user has not been published by the user-score based public access content publishing system 110.
  • a value of user-generated content can include the number of public users who like the user-generated content if the content generated by the user has been published by the user-score based public access content publishing system 110. For example if the highest user score of users who provide feedback for user-generated content which is not published by the user-score based public access content publishing system 110 is 50, then the value of the user-generated content is 50. Or the number of public users who like the user-generated content which is published by the user-score based public access content publishing system 110 is 55, then the value of the user-generated content is 55.
  • the content feedback-based user scoring system 114 can adjust the user score of the user to be 150, average of 100 and 200.1n a similar example of determining a user score of a user based on a value of user-generated content for which the user has provided feedback, if a user score of the user is 100 and the user-generated content receive feedback from 2 more users with user scores 150 and 200 and the user-generated content is published by the user-score based public access content publishing system 110 and 150 public users like the user- generated content, then the content feedback-based user scoring system 114 can adjust the user score of the user to be 125, average of 100 and 150.
  • the content feedback-based user scoring system 114 can determine a user score based on feedback received for user-generated content published by the restricted access content publishing system 108 or determine a user score based on feedback received for user-generated content published by the user-score based public access content publishing system 110.
  • the content feedback-based user scoring system 1 14 can average the user score with the value of the user-generated content.
  • the content feedback -based user scoring system 114 can make use of a weighted average calculation.
  • the content feedback -based user scoring system 1 14 can determine a user score of a user based on scoring conditions included as part of scoring guide data stored in the scoring guide datastore 112.
  • a user can have multiple different user scores corresponding to either or both content categories or regions. For example a user can have a user score of 50 for user-generated content corresponding news for Europe, while a user score of 100 for user-generated content corresponding to opinions for California.
  • the content feedback-based user scoring system 114 can determine multiple different user scores for a user according to scoring conditions included as part of scoring guide data.
  • the user datastore 116 functions to store user data regarding registered users.
  • User data stored in the user datastore 1 16 can include the number of times a user has created published user-generated content, a value of user-generated content created by a user, instances in which a user has provided feedback, values of user-generated content for which a user has provided feedback, and one or a plurality of user scores for a user.
  • the content-feedback based user scoring system 114 can exploit user data stored in the user datastore 116 to determine or adjust a score of a user, and subsequently modify the user data to include determined or adjusted user scores.
  • Either or both the restricted access content publishing system 108 and the user-score based public access content publishing system 110 can exploit user data stored in the user datastore 116 to determine whether to publish user- generated content.
  • the user devices 104 transmit user-generated content.
  • the user-generated content datastore 106 stores user-generated content data including the user-generated content received from the user devices 104.
  • the restricted access content publishing system 108 publishes the user-generated content through a restricted access platform.
  • the user score -based public access content publishing system 110 determines whether to publish based on a user scores of users who created or provide feedback to the user-generated content. Additionally, in the example of operation of the example system shown in FIG.
  • the content feedback-based user scoring system 114 determines and/or updates a user score of the user who created the user-generated content or the user-generated feedback according to scoring conditions included as scoring guide data stored in the scoring guide datastore 112.
  • the user datastore 116 stores user data indicating the user score of the user, as determined and/or updated by the content feedback-based user scoring system 114.
  • FIGs. 2A and 2B depict a flowchart 200 of an example of a method for publishing user-generated content based on user score of users who created or provided feedback to the user-generated content.
  • the flowchart 200 begins at module 202, where user-generated content created by a user is received. Depending upon implementation-specific or other considerations, at least a portion of user-generated content created by a user can be created by another person or entity. For example, user-generated content can include a link to content created by another person or entity, or a video or image created by another person or entity.
  • the flowchart 200 continues to module 204 where the user-generated content is published through a restricted access platform.
  • the user-generated content can be published through a restricted access platform by an applicable system, such as the restricted access content publishing systems described in this paper.
  • an applicable system such as the restricted access content publishing systems described in this paper.
  • users who are granted access to the restricted access platform e.g. registered users, can perceive and provide feedback for the user-generated content.
  • the flowchart 200 continues to 206 where it is controlled whether the user-generated content received feedback from a user through a restricted access platform by an applicable system, such as the restricted access content publishing system described in this paper.
  • the flowchart 200 continues to decision point 208 where it is determined whether to publish the user-generated content based on the user score of the users providing feedback to the user-generated content. Depending upon implementation-specific or other considerations, it can be determined to publish the user-generated content if the highest user score of the users providing feedback to the user-generated content is higher than the user scores of users who created and provided feedback to other user-generated content pending for publication. Further depending upon implementation-specific or other considerations, it can be determined to publish the user-generated content if the user score surpasses a threshold user score for a content category of the user-generated content.
  • the flowchart 200 continues to module 210.
  • the user-generated content is published through a publicly accessible platform.
  • An applicable system can publish the user-generated content through a publicly accessible platform, such as the user score-based public access content publishing systems described in this paper.
  • the user-generated content receives feedback from public users through the publicly accessible platform, e.g. public users likes the user- generated content.
  • the flowchart 200 continues to module 212, were user scores of the users who created or provided feedback to the user-generated content are determined based on feedback received for the user-generated content as a result of the user-generated content being published through the publicly accessible platform.
  • Feedback used to determine user-scores for the users can be received from public users who perceive the user-generated content after it is published.
  • Feedback for the user-generated content can include an indication whether a public user likes the user-generated content.
  • a user score of the user is determined based on the number of public users who provide feedback for the user-generated content.
  • decision point 214 it is determined whether evolution time for user-generated content has expired. Evolution time for user-generated content can be specific to a content category of the user-generated content. If it is determined at decision point 214, that evolution time for the use-generated content has not expired, then the flowchart 200 continues back to module 206, where the user-generated content is controlled whether it receives feedback from a user.
  • the flowchart 200 continues to module 218, were user scores of the users who created or provided feedback to the user-generated content are determined based on feedback received for the user-generated content as a result of the user-generated content being published through the restricted access platform.
  • Feedback used to determine user-scores for the users can be received from other users who perceive the user-generated content after it is published.
  • Feedback for the user-generated content can include an indication whether a user approves the user-generated content.
  • a user score of the user is determined based on the highest user score of the users who provide feedback for the user-generated content.

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  • Information Transfer Between Computers (AREA)

Abstract

L'invention concerne un système de rehaussement de contenu collaboratif. Ce système sélectionne périodiquement le meilleur contenu soumis par des utilisateurs enregistrés et publie ces contenus à l'intention du public. Dans cette optique, le procédé définit un système de publication restreint pour utilisateurs enregistrés. Dans le système de publication restreint, les utilisateurs enregistrés fournissent des informations en retour concernant les contenus. Pour sélectionner un contenu adapté au public, le procédé fait usage des informations en retour reçues à partir des utilisateurs enregistrés par l'intermédiaire du système de publication restreint. Le procédé définit également une note d'utilisateur des utilisateurs enregistrés et détermine/met à jour les notes des utilisateurs générant un contenu ou fournissant des informations en retour sur un contenu, en fonction des informations en retour reçues sur le contenu à la fois à partir d'utilisateurs enregistrés et d'utilisateurs du public.
PCT/TR2015/050256 2014-12-19 2015-12-18 Système de rehaussement de contenu collaboratif WO2016099432A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201462094827P 2014-12-19 2014-12-19
US62/094,827 2014-12-19

Publications (1)

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WO2016099432A1 true WO2016099432A1 (fr) 2016-06-23

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060143068A1 (en) * 2004-12-23 2006-06-29 Hermann Calabria Vendor-driven, social-network enabled review collection system
US20060271620A1 (en) * 2005-05-27 2006-11-30 Beaty Robert M Digital music social network player system
US20110246574A1 (en) * 2010-03-31 2011-10-06 Thomas Lento Creating Groups of Users in a Social Networking System
US20130117284A1 (en) * 2010-07-19 2013-05-09 Echidna, Inc. Use of social ranks to find providers of relevant user-generated content

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060143068A1 (en) * 2004-12-23 2006-06-29 Hermann Calabria Vendor-driven, social-network enabled review collection system
US20060271620A1 (en) * 2005-05-27 2006-11-30 Beaty Robert M Digital music social network player system
US20110246574A1 (en) * 2010-03-31 2011-10-06 Thomas Lento Creating Groups of Users in a Social Networking System
US20130117284A1 (en) * 2010-07-19 2013-05-09 Echidna, Inc. Use of social ranks to find providers of relevant user-generated content

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