Patent classifications
G06Q30/0217
Apparatus, computer-implemented method, and computer program product for programmatically selecting a user survey data object from a set of user survey data objects and for selecting ranking model(s) for utilization based on survey engagement data associated with the selected user survey data object
Embodiments of the present disclosure provide mechanisms for selection of a user survey data object from a set of user data objects, and processing of survey engagement data associated with a selected user survey data object. The user survey data object selected is appropriate for providing associated with a particular user data object, and the survey engagement data received associated therewith enables programmatic selection and use of particular ranking model(s) for use in generating and providing an output ranked item data object set. Example embodiments utilize selected ranking model(s) of a set of ranking models to programmatically generate and output an output ranked item data object set for a particular user profile.
Service trust chain
At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of providing over a network a request for first information from a second service provider at a job site characterizing a first service provided by a first service provider at the job site, receiving over the network from the second service provider the first information, providing over the network a request for second information from a third service provider at the job site characterizing a second service provided by the second service provider at the job site, and receiving over the network from the third service provider the second information.
AUTOMATIC SEQUENTIAL REVIEW ELICITATION
Some embodiments may provide a method and a system for receiving, from a first user, a first evaluation indication with respect to a first publication, and in response to receiving the first evaluation indication, automatically initiating a secondary evaluation process comprising automatically selecting a set of publications including at least a second publication, presenting a first user interface affordance to elicit a selection indication indicating a publication from among the set of publications, receiving a selection indication indicating the second publication, and in response to receiving the selection indication, presenting a second user interface affordance to elicit a second evaluation indication with respect to the second publication.
AUTOMATIC SEQUENTIAL REVIEW ELICITATION
Some embodiments may provide a method and a system for receiving, from a first user, a first evaluation indication with respect to a first publication, and in response to receiving the first evaluation indication, automatically initiating a secondary evaluation process comprising automatically selecting a set of publications including at least a second publication, presenting a first user interface affordance to elicit a selection indication indicating a publication from among the set of publications, receiving a selection indication indicating the second publication, and in response to receiving the selection indication, presenting a second user interface affordance to elicit a second evaluation indication with respect to the second publication.
Automated corporate perception management
An external content engine automatically monitors content items generated by external data sources such as online merchants, social networking platforms, and discussion forums for an entity. The monitored content items may include public messages such as posts, reviews, and comments. When a content item is identified that references or relates to the entity, natural language processing is used to determine if the content item has a positive or negative context. The external content engine may then determine an action to take based on the context and other factors such as a popularity or influence of the author of the content item.
Online activity monitoring
An incentive management system may receive a request for registration of a software application from a software developer and assign at least an API key and an API secret to the software application. The system may further provide, to the software developer, integration instructions including at least the API key and the API secret and provide a developer platform to the software developer, the developer platform configured to receive program information including at one or more actions that may be performed by a user of the software application. The system may monitor messages from one or more application servers, such as via webhooks embedded in the software application, regarding performance of one or more actions identified as actionable by the software developer. The system may periodically determine a cumulative incentive associated with each of the users of the software application and coordinate provision of the incentives.
Online activity monitoring
An incentive management system may receive a request for registration of a software application from a software developer and assign at least an API key and an API secret to the software application. The system may further provide, to the software developer, integration instructions including at least the API key and the API secret and provide a developer platform to the software developer, the developer platform configured to receive program information including at one or more actions that may be performed by a user of the software application. The system may monitor messages from one or more application servers, such as via webhooks embedded in the software application, regarding performance of one or more actions identified as actionable by the software developer. The system may periodically determine a cumulative incentive associated with each of the users of the software application and coordinate provision of the incentives.
Autonomous Vehicle Operating Status Assessment
Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status and/or configuration of autonomous operation features of an autonomous or semi-autonomous vehicle may be determined, such as via an on-board computer system or mobile device, and/or then directly or indirectly wirelessly communicated via data transmission from the vehicle computer system or mobile device to a remote server. An adjustment to one or more risk levels associated with operation of the autonomous or semi-autonomous vehicle may also be determined, and an auto insurance policy, premium, or discount may be adjusted based upon the adjustment to the risk levels and presented to the customer for their review and approval. As a result, insurance cost savings may be passed onto risk averse customers that opt into to a rewards program.
ADAPTING A VIRTUAL REALITY EXPERIENCE FOR A USER BASED ON A MOOD IMPROVEMENT SCORE
A virtual reality application adaptively generates a virtual reality experience intended to improve a user's mood. A plurality of digital assets is stored together with associated scores. A score for a digital asset represents a predicted amount of mood improvement occurring in a cohort of users having similar profiles to a target user in response to virtual reality experiences including the digital asset. A customized virtual reality experience is generated for the target user based at least in part of the user profile data on the scores. The user's change in mood is detected through survey and/or biometric data. Scores for the digital assets may then be updated in order to further learn their respective effects on the cohort of users.
ADAPTING A VIRTUAL REALITY EXPERIENCE FOR A USER BASED ON A MOOD IMPROVEMENT SCORE
A virtual reality application adaptively generates a virtual reality experience intended to improve a user's mood. A plurality of digital assets is stored together with associated scores. A score for a digital asset represents a predicted amount of mood improvement occurring in a cohort of users having similar profiles to a target user in response to virtual reality experiences including the digital asset. A customized virtual reality experience is generated for the target user based at least in part of the user profile data on the scores. The user's change in mood is detected through survey and/or biometric data. Scores for the digital assets may then be updated in order to further learn their respective effects on the cohort of users.