Salesforce.Com, Inc Patent Portfolio Statistics

Publication number: US20220100903A1
Application number: 17/643,573

Abstract:
An indication of an action is received through and application program interface (API) provided by one or more hardware processing devices. The action corresponds to communication with a specified party. Multiple disparate tables stored in at least one database of a of a database environment associated with the one or more hardware processing devices are searched for records having the field property corresponding to the specified party. The field property from the corresponding multiple disparate tables are evaluated. A unified field property is determined based on the evaluation of the field property from the corresponding multiple disparate tables. The unified field property is returned through the API.

Publication date: 2022-03-31
Applicant: Salesforce.Com, Inc.
Inventors: Hay Marla

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Publication number: US20220091862A1
Application number: 17/643,089

Abstract:
Techniques are disclosed relating to emphasizing user interface elements for different users based on user attributes. In some embodiments, a system maintains a set of information (e.g., for a particular product) that includes multiple types of information. The system may access the same set of information for different user requests. The computing system may determine first and second subsets of the set of information based on attributes of the different users. The computing system may cause display of a first user interface on a device of the first user showing only the first subset of item fields for the two or more of the first set of items. The computing system may cause display of a second user interface on a device of the second user showing only the second subset of item fields for the two or more of the second set of items.

Publication date: 2022-03-24
Applicant: Salesforce.Com, Inc.
Inventors: Andolina Joseph

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Publication number: US20220083819A1
Application number: 17/457,163

Abstract:
Computing systems may support image classification and image detection services, and these services may utilize object detection/image classification machine learning models. The described techniques provide for normalization of confidence scores corresponding to manipulated target images and for non-max suppression within the range of confidence scores for manipulated images. In one example, the techniques provide for generating different scales of a test image, and the system performs normalization of confidence scores corresponding to each scaled image and non-max suppression per scaled image These techniques may be used to provide more accurate image detection (e.g., object detection and/or image classification) and may be used with models that are not trained on modified image sets. The model may be trained on a standard (e.g. non-manipulated) image set but used with manipulated target images and the described techniques to provide accurate object detection.

Publication date: 2022-03-17
Applicant: Salesforce.Com, Inc.
Inventors: Ankit Chadha

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