Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: A method and system for displaying a dynamic mosaic of media files, the method comprising: receiving media files, determining a fill direction, constructing a layout, determining an edge set from the media files previously placed on the layout, determining a trailing edge, and adjacent edges, constructing a set of closed rectangles an open rectangle from the trailing edge and adjacent edges, providing a first set of frames by iteratively attempting to fill up to one closed rectangle from the set of closed rectangles, providing a second set of frames by filling the open rectangle by placing one searched media file in the open rectangle if no closed rectangle in the set of closed rectangles can be filled, and inserting one of the first set of frames and the second set of frames into a current layout before updating a current edge set based on the inserted frames.

Abstract: Systems and methods are provided for recommending price of benefit items offered through a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain consumption information, the consumption information describing acceptance of offers for the benefit items at the requested amounts by the subscribers of the content creators; train a machine learning model on input/output pairs to generate a trained machine learning model, the individual input/output pairs including training input information and training output information; store the trained machine learning model; determine, using the trained machine learning model, recommended amounts of consideration for the benefit items that correspond to greater acceptance; generate recommendations for individual content creators conveying the recommended amounts for the benefit items offered by the individual content creators; and/or perform other operations.

Abstract: A method and system for displaying a dynamic mosaic of media files, the method comprising: receiving media files, determining a fill direction, constructing a layout, determining an edge set from the media files previously placed on the layout, determining a trailing edge, and adjacent edges, constructing a set of closed rectangles an open rectangle from the trailing edge and adjacent edges, providing a first set of frames by iteratively attempting to fill up to one closed rectangle from the set of closed rectangles, providing a second set of frames by filling the open rectangle by placing one searched media file in the open rectangle if no closed rectangle in the set of closed rectangles can be filled, and inserting one of the first set of frames and the second set of frames into a current layout before updating a current edge set based on the inserted frames.

Abstract: A method and system for displaying a dynamic mosaic of media files, the method comprising: receiving media files, determining a fill direction, constructing a layout, determining an edge set from the media files previously placed on the layout, determining a trailing edge, and adjacent edges, constructing a set of closed rectangles an open rectangle from the trailing edge and adjacent edges, providing a first set of frames by iteratively attempting to fill up to one closed rectangle from the set of closed rectangles, providing a second set of frames by filling the open rectangle by placing one searched media file in the open rectangle if no closed rectangle in the set of closed rectangles can be filled, and inserting one of the first set of frames and the second set of frames into a current layout before updating a current edge set based on the inserted frames.

Abstract: A method for dynamically displaying results of simultaneous two dimensional image search comprises: maintaining a first database comprising a set of records, each record comprising an image and an associated set of annotations describing the image, receiving an annotation criterion and a color scheme from a user, generating a target color scoring template from the color scheme, conducting a content based search by searching the first database to identify a set of pertinent images satisfying the annotation criterion, and performing the following operations for each image in the set of pertinent images: resizing a given image to a predefined size before generating an image color spectrum histogram for the given image, adding the given image to a pool of acceptable images if the generated image color spectrum histogram matches with the target color scoring template; and dynamically displaying images in the pool of acceptable images to the user.

Abstract: A method for dynamically displaying results of simultaneous two dimensional image search comprises: maintaining a first database comprising a set of records, each record comprising an image and an associated set of annotations describing the image, receiving an annotation criterion and a color scheme from a user, generating a target color scoring template from the color scheme, conducting a content based search by searching the first database to identify a set of pertinent images satisfying the annotation criterion, and performing the following operations for each image in the set of pertinent images: resizing a given image to a predefined size before generating an image color spectrum histogram for the given image, adding the given image to a pool of acceptable images if the generated image color spectrum histogram matches with the target color scoring template; and dynamically displaying images in the pool of acceptable images to the user.

Abstract: A method for dynamically displaying results of simultaneous two dimensional image search comprises: maintaining a first database comprising a set of records, each record comprising an image and an associated set of annotations describing the image, receiving an annotation criterion and a color scheme from a user, generating a target color scoring template from the color scheme, conducting a content based search by searching the first database to identify a set of pertinent images satisfying the annotation criterion, and performing the following operations for each image in the set of pertinent images: resizing a given image to a predefined size before generating an image color spectrum histogram for the given image, adding the given image to a pool of acceptable images if the generated image color spectrum histogram matches with the target color scoring template; and dynamically displaying images in the pool of acceptable images to the user.

Abstract: A method for dynamically displaying results of simultaneous two dimensional image search comprises: maintaining a first database comprising a set of records, each record comprising an image and an associated set of annotations describing the image, receiving an annotation criterion and a color scheme from a user, generating a target color scoring template from the color scheme, conducting a content based search by searching the first database to identify a set of pertinent images satisfying the annotation criterion, and performing the following operations for each image in the set of pertinent images: resizing a given image to a predefined size before generating an image color spectrum histogram for the given image, adding the given image to a pool of acceptable images if the generated image color spectrum histogram matches with the target color scoring template; and dynamically displaying images in the pool of acceptable images to the user.

Abstract: A method and system for displaying a dynamic mosaic of media files, the method comprising: receiving media files, determining a fill direction, constructing a layout, determining an edge set from the media files previously placed on the layout, determining a trailing edge, and adjacent edges, constructing a set of closed rectangles an open rectangle from the trailing edge and adjacent edges, providing a first set of frames by iteratively attempting to fill up to one closed rectangle from the set of closed rectangles, providing a second set of frames by filling the open rectangle by placing one searched media file in the open rectangle if no closed rectangle in the set of closed rectangles can be filled, and inserting one of the first set of frames and the second set of frames into a current layout before updating a current edge set based on the inserted frames.