Techniques for implementing user interfaces, systems, and processes for multidimensional clustering and analysis are described herein. In one aspect, an application or cloud service receives a request to cluster a set of records where the request identifies a first set of one or more dimensions to use for clustering and a second set of one or more dimensions to analyze for correlation patterns. Responsive to receiving the request to cluster the set of records, the system generates clusters based at least in part on variances in the first set of one or more dimensions, wherein each cluster includes at least one record from the set of records. The system may generate, for each respective cluster, an analytic result that identifies how strongly the second set of one or more dimensions correlate to the respective cluster. The system may present the clusters and analytic results for further processing.

Embodiments of the present disclosure provide for identification and output of improved predicted operational support data object(s). Embodiments utilize particular data sets and data model implementations to identify and select predicted operational support data object(s) determined as associated with the highest confidence to assist in resolving a particular malfunction affecting a networked device in a dynamic home communications network. Such embodiments enable resolution of the malfunction, utilizing the predicted operational support data object(s), with improved success rates and without requiring performance of additional and/or alternative support processes.

An information processing system comprising a processor programmed to: receive a question asked by a questioner, an answer provided by an answerer to the question, and a rating by a rater with respect to at least one of the question and the answer; manage relationship information, the relationship information being related to the questioner, the answerer, and the rating by the rater; acquire attribute information about each of the questioner, the answerer, and the rater; and present rating information based on the relationship information and in response to a condition specified by a requester with respect to the attribute information.

Novel improvements in processes utilizing distributed ledger technologies for management and compliance with data privacy laws, regulations, policies, guidelines, rules, and standards of personal information. California Consumer Privacy Act (CCPA), together with similar Europe, Colorado and Virginia privacy laws, are exemplary applications. Metadata and database schemas are utilized to form one or more metamodels and data graphs, stored on a distributed ledger or blockchain. Apparatus, architectures and systems are also disclosed.

Computer technology for: (i) performing prefetching based on shard workload in NoSQL; and/or (ii) perform distribution of stored data over the various tiers of a cache memory based on shard workload in NoSQL. This can help achieve better load balance among and between the shards of a database and the respectively associated nodes on which the shards are stored.

In one embodiment, a method includes receiving an initial input in a first modality from a first user from a client system associated with the first user, determining one or more intents corresponding to the initial input by an intent-understanding module, generating one or more candidate continuation-inputs based on the one or more intents, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, and wherein the candidate modalities are different from the first modality, and sending instructions for presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs to the client system.

Systems, apparatuses, and methods are provided for enhancing users' overall experiences with physical items by supplementing their physical experiences with digital experiences. According to an embodiment, a user uses an electronic device to scan a smart tag associated with an item to obtain an item identifier of the item. The electronic device sends the item identifier to a server, which selects digital content related to the item and sends the selected digital content to the user's electronic device for display.

An electronic device that includes one or more input sensor devices, one or more output devices, one or more computer processors and a memory containing computer program code that, when executed by operation of the one or more computer processors, performs an operation. The operation includes collecting information, using one or more input sensor devices, about the plurality of users within a physical environment. The operation includes analyzing the collected information to determine a present situational context for the plurality of users that are currently present within the physical environment. An action to perform is determined based on the determined present situational context. The determined action is executed using the one or more output devices.

The present disclosure relates to a method of providing media to a user based on analysis of an image. The method comprises analysing the image to obtain image information about what is depicted therein. The method also comprises, based on said obtained image information, selecting a first plurality of media items comprising audio, from a media database, said media items of the first plurality being associated with that which is depicted in the image according to the image information. The method also comprises filtering the first plurality of media items based on metadata associated with the user to obtain a plurality of seed media items. The method also comprises providing at least one media item from the media database to the user based on the obtained seed media items.

A client computing device receives a behavior model corresponding to a user group associated with a user. The behavior model has been trained with monitored user interactions of one or more files associated with the user group. The client computing device further mounts a snapshot of a file and determines, based on the behavior model, which files of the mounted snapshot to transfer to a locally accessible cache. During use of the client computing device, the client computing device may determine whether the mounted snapshot is accessible. If the mounted snapshot is not accessible, the client computing device may selectively delete, based on the behavior model, one or more of the files stored in the locally accessible cache. If the mounted snapshot is accessible, the client computing device may update the one or more files of the locally accessible cache with monitored user interactions with the mounted snapshot.