Abstract: 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.

Abstract: Embodiments of the present disclosure provide for improved management, selection, and provision of network asset data objects. For example, embodiments described throughout are configured to score various network assets corresponding to real-world assets, items, products, and/or the like, for selection and provision associated with one or more particular user profile identifiers. Embodiments are configured to train network asset scoring model(s) based on specific data, such as prioritized network asset data set(s), such that the trained network asset scoring model(s) efficiently generate more accurate, improved scores for network asset data objects. Additional or alternative embodiments are configured to provide data tagged network asset set(s) utilizing specially trained model(s), such as one or more multi-armed bandit models and/or one or more network asset scoring model(s).

Abstract: 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.

Abstract: 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.

Abstract: Embodiments of the present disclosure provide for improved management, selection, and provision of network asset data objects. For example, embodiments described throughout are configured to score various network assets corresponding to real-world assets, items, products, and/or the like, for selection and provision associated with one or more particular user profile identifiers. Embodiments are configured to train network asset scoring model(s) based on specific data, such as prioritized network asset data set(s), such that the trained network asset scoring model(s) efficiently generate more accurate, improved scores for network asset data objects. Additional or alternative embodiments are configured to provide data tagged network asset set(s) utilizing specially trained model(s), such as one or more multi-armed bandit models and/or one or more network asset scoring model(s).

Abstract: 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.

Abstract: Embodiments are provided that facilitate training and utilization of specially configured multi-armed bandit model(s). Such embodiments configure multi-armed bandit model(s) to provide selected network asset scoring model(s) from a network asset scoring model set and/or a selected data tagged network asset set from a set of data tagged network asset sets. Such selections are performable for a particular user profile, for example to perform accurate and/or efficient process(es) for provision of network asset data object(s) to the user profile(s). Some embodiments access enterprise network interaction data, access a set of data tagged network asset sets, train a multi-armed bandit model to provide a selected network asset scoring model and a selected data tagged network asset set, and provides one or more network asset data objects based on the selected network asset scoring model and the selected data tagged network asset set.