Abstract: This application relates to employing trained machine learning processes to predict demands of items during future temporal periods, and to determining a recommended price for the items. For example, a computing device may obtain sales data for an item, and may generate features based on the obtained sales data. The computing device may input the generated features to a trained machine learning process to generate output data characterizing a predicted demand of the item during a future temporal interval. Further, the computing device may determine a recommended price for the item based on the predicted demand and a budget allocation that corresponds to the item. The computing device may store the predicted demand of the item and the recommended price for the item in a data repository.

Abstract: This application relates to employing trained machine learning processes to map items across various domains. For example, a computing device may obtain first textual data for a first item, and second textual data for a second item. The computing device generates a plurality of features based on the first textual data and the second textual data. Further, the computing device inputs the generated plurality of features to a trained machine learning process to generate output data characterizing a textual similarity between the first textual data and the second textual data. The computing device may also determine whether the first item maps to the second item based on the output data. The computing device generates mapping data based on the determination, and stores the mapping data in a data repository.

Abstract: An electronic device for providing contextual recommendations and a method therefor are provided. The electronic device includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain text including characters, identify, based on a language model, a domain corresponding to the text, identify a reference of the characters based on the domain, and perform, based on the reference, an action related to the domain.

Abstract: An electronic device for providing contextual recommendations and a method therefor are provided. The electronic device includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain text including characters, identify, based on a language model, a domain corresponding to the text, identify a reference of the characters based on the domain, and perform, based on the reference, an action related to the domain.

Abstract: A method for providing context based multimodal predictions in an electronic device is provided. The method includes detecting an input on a touch screen keyboard displayed on a screen of the electronic device. Further, the method includes generating one or more context based multimodal predictions based on the detected input from a language model. Furthermore, the method includes displaying the one or more context based multimodal predictions in the electronic device. An electronic device includes a processor configured to detect an input through a touch screen keyboard displayed on a screen of the electronic device, generate one or more context based multimodal predictions in accordance with the detected input from a language model, and cause the screen to display the one or more context based multimodal predictions in the electronic device.