Abstract: A method, system, and computer program product for discovering from user content, at least one tagged item that includes a product, includes identifying plural tags to be associated with each of the user-content item, and the corresponding probability that each of the plural tags is associated with products. There is also the feature of associating the plural tags and their corresponding probability of being associated with products. There are also the features of generating at least one subset of the tagged user content based upon the probability of a first one of the plural tags being associated with a product, and discovering the tagged user content comprising the product, from the subset of the tagged user content based upon the probability of the first one of the plural tags being associated with a product.

Abstract: A method, system, and computer program product generate at least one tagged image, and include the feature of determining at least one user content image from at least one subject image. There are also the features of identifying at least one product in the obtained user content image using at least one artificial intelligence model, and generating at least one tagged image with the identified product or products in the obtained user content image or images.

Abstract: A method, system, and computer program product generate at least one tagged image, and include the feature of determining at least one user content image from at least one subject image. There are also the features of identifying at least one product in the obtained user content image using at least one artificial intelligence model, and generating at least one tagged image with the identified product or products in the obtained user content image or images.

Abstract: A method, system, and computer program product for discovering from user content, at least one tagged item that includes a product, includes identifying plural tags to be associated with each of the user-content item, and the corresponding probability that each of the plural tags is associated with products. There is also the feature of associating the plural tags and their corresponding probability of being associated with products. There are also the features of generating at least one subset of the tagged user content based upon the probability of a first one of the plural tags being associated with a product, and discovering the tagged user content comprising the product, from the subset of the tagged user content based upon the probability of the first one of the plural tags being associated with a product.

Abstract: A method, system, and computer program product for dynamic content provisioning, such as for online marketing and product promotion, may include collecting user content from sources based upon collection parameters, and organizing the collected user content for optimization. There may also be the features of receiving rights-management data for the organized user content, and tagging the organized user content. Additionally, there may be receiving rights-management data for the organized user content, and generating an optimized display representation of tagged user content on an output interface for dynamic content provisioning.

Abstract: A method, system, and computer program product optimize display of user content, and include the features of selecting the user content for optimization of display, and processing one or more content properties associated with the user content. There are also the features of generating plural categories of the user content based upon categorization criteria, and providing the plural categories of the user content to an artificial intelligence model. There are also the features of associating a score with each of the plural categories of the user content by the artificial intelligence model, and generating a rank for each of the plural categories based upon the score associated with each of the plural categories. There is also the feature of optimizing the display of the user content based on an order of the rank of each of the plural categories.

Abstract: A method, system, and computer program product generate at least one tagged image, and include the feature of determining at least one user content image from at least one subject image. There are also the features of identifying at least one product in the obtained user content image using at least one artificial intelligence model, and generating at least one tagged image with the identified product or products in the obtained user content image or images.

Abstract: A method, system, and non-transitory computer-readable medium provides recommendations for a product, such as for online marketing. There is a method for providing recommendations for a product that includes receiving product rating service or other textual content from various sources. The method further includes matching at least one review information from the review information associated with plural reviews of the product. Additionally, there is filtering, sorting and searching the review information associated with plural reviews based on matching and one or more rating parameters. Further, the method includes publishing the filtered review information for the product in numerous gallery tile layouts. Also, the method includes generating a display representation of the published review information on an output interface for providing recommendations for the product.

Abstract: Described embodiments relate to determining an objective function to be used for mapping radiation beams to a patient body volume. The objective function has a first term related to at least one target volume and a second term related to at least one non-target volume. The second term is zero only when a product of the weight of a beamlet mapped to pass through a non-target volume portion and the dose deposited by said beamlet is equal to a first predetermined average dose constraint value for the respective non-target volume portion, for all beamlets mapped to pass through the at least one non-target volume. This limit aims to reduce the occurrence of negative beam weights. In another embodiment, the objective function has a smoothing term for biasing the weight of beamlets towards a uniform distribution within the respective beam. Radiotherapy is delivered based on the objective function.

Abstract: The invention relates to methods and systems for computationally efficient optimization of radiation dose delivery that involve determining an objective function to be used for mapping radiotherapy beams to a patient body volume having at least one target volume and at least one non-target volume. The objective function has a first term related to the at least one target volume and a second term related to the at least one non-target volume. The second term is zero only if the weights of beamlets mapped so as to pass through the non-target volume(s) are zero. The second term helps to avoid the occurrence of negative beam weights, thereby facilitating computationally efficient optimization using matrix inversion. An optimal set of weights of beamlets is determined using the objective function. Radiotherapy is delivered based on the determined optimal set of weights.