Abstract: In an online environment, a baseline attitude of an author of online content is determined. Based on the baseline attitude and a raw sentiment score for an instance of online content, an adjusted sentiment score for the online content instance is generated. A variance from the baseline attitude may be detected, based on the online content of the author. In response to the variance, a current mood of the author is determined and, using the current mood and the raw sentiment score, another adjusted sentiment score for the online content instance is generated. The baseline attitude of the author may be determined using one or more of an analysis of the online content instance, a demographic profile of the author, and a subject matter area of the online content instance. The detection of the variance from the baseline attitude may incorporate a frequency of instances of online content.

Abstract: Methods select content to be delivered to a visitor to a real-world venue. One method identifies a visitor to a real-world venue based on tracked physical actions and a profile including previously collected visitor information associated with the venue. The method determines that members of a group are present at the venue with the visitor, where the determining is based at least in part on the previously collected visitor information. Based on determining that the visitor is at the venue with members of the group, content is selected for the visitor. Another method identifies a visitor to a venue as belonging to a group by identifying the visitor based on tracked physical actions and collected visitor information. The tracked actions and visitor information are used to determine whether the visitor is in the venue with members of the group. Tailored content is sent to the visitor based on the determination.

Abstract: In embodiments of customized and automated dynamic infographics, an infographic template is received at a cloud-based service from a computing device, where a user at the computing device creates the infographic template in a graphics application to display data obtained from data sources. The cloud-based service assigns an identifier to associate the infographic template and the data sources of the data, and posts the infographic template making it available for cloud-based access by other computing devices that request to display the posted infographic template. The cloud-based service can receive a request from one of the computing devices to update the displayed data, and then query the data sources for current data, where the query is based on the identifier that is associated with the posted infographic template. The cloud-based service can then transform the current data to generate updated data, and update the posted infographic template with the updated data.

Abstract: Techniques are disclosed for generating enhanced user profiles that include “off-line” activities omitted from conventional user profiles. In one embodiment, each of two or more Internet of Things (IoT) products records usage data descriptive of a user's interactions with the IoT product. This usage data is based on values of physical parameters measured by sensors embedded within the IoT products. In recording the usage data, an IoT product may transmit the usage and sensor data to a user profile storage device. In response to receiving the usage and sensor data from the IoT products, the user profile storage device stores the usage and sensor data and associates the usage and sensor data with the user. Additionally, the user profile storage device exposes an interface through which marketing personnel can analyze user profiles made up of the stored usage and sensor data.

Abstract: Automobile usage analytics and personalization are described. In one or more implementations, a digital medium environment is described in which sensors are included with parts of automobiles, detect usage events that result from auto part usage, and produce sensor data indicative of the events. In this environment, a method is described of efficiently aggregating the sensor data and accurately determining automobile usage therefrom. Based on the automobile usage, the automobile is personalized for users. For example, personalized recommendations are made to automobile users to suggest goods, services, or information determined pertinent to the users. The aggregated sensor data can be used in other ways to personalize the automobile, such as to adjust seat positions, control climate, and so on. Further, the aggregated sensor data is used to answer queries regarding automobile usage that are made by users (e.g., manufacturers) via analytics tools of an auto usage reporting platform.

Abstract: Object amalgamation based on categorization and protocol granularization is described. For certain example embodiments, each object belongs to a category of objects that is associated with a particular protocol. A protocol may include a wireless communication protocol and/or a characteristic description protocol. The object is capable of communicating a characteristic in accordance with the corresponding particular protocol. The characteristic may be an intrinsic attribute or a sensed value. A coordinator object groups other objects so as to amalgamate them into subnetworks in which the member objects are empowered to communicate with each other. If two objects correspond to different protocols, another object may translate a wireless communication from one protocol to another protocol.

Abstract: Object usage analytics are described. In one or more implementations, a digital medium environment is described in which sensors are included as part of objects, detect usage events that result from object usage, and produce sensor data indicative of the events. In this digital medium environment, a method is described of efficiently aggregating the sensor data and accurately making a determination of object usage from the aggregated sensor data to answer queries regarding the object usage that are made by users via analytics tools of a cloud reporting platform. Sensor data is obtained for an object that describes a usage event of the object. Once obtained, the sensor data is converted into aggregated usage data that is aggregated with other usage data of the object and maintained in the cloud reporting platform. The cloud reporting platform exposes analytics tools, which can provide users with a variety of information describing object usage.

Abstract: Content targeting and recommendations based on object usage is described. In one or more implementations, a digital medium environment is described in which sensors are included as part of objects, detect usage events that result from object usage, and produce sensor data indicative of the events. In this digital medium environment, a method of generating recommendations that are based on the object usage is described. For objects associated with a user, sensor data is obtained that describes usage events detected by the object sensors that are included as part of the objects. The obtained sensor data is analyzed to compute statistics that summarize usage of the objects. Based on the statistics, recommendations are made to the user, such as to suggest a good, a service, or information that is determined pertinent to the user based on the usage of the objects.

Abstract: User interactions with a physical object are monitored via one or more sensors integrated with the physical object. The sensors collect usage data for the physical object, based on the user interactions. Analyzed usage data is generated from the usage data collected via the sensors in the physical object as well as from usage data for the physical object that is collected by sensors integrated with one or more additional physical objects that are connected to the physical object by a network. Training feedback, based on the analyzed usage data, is then presented to the user in real-time.

Abstract: Unique users and/or the current user of a non-computer product are identified. Sensor data is collected from sensors on the non-computer product. The sensor data provides data regarding settings and/or usage patterns of the non-computer product. The sensor data is provided to an analytics engine, which analyzes the sensor data using machine-learning techniques to identify unique users of the non-computer product and/or a current user of the non-computer product. Analytics that include at least an indication of the unique users are provided to a product manufacturer and/or other entity (e.g., a retailer).

Abstract: A system determines whether a user is a member of a segment, and this segment membership determination can be used to determine what content is provided to the user. Each segment has a corresponding set of criteria that includes multiple different elements describing users in the segment. A confidence value that the user is included in the segment is generated based on user data, and this confidence value can be used in different manners, such as to determine what content to provide to the user or to determine a financial value of providing content to the user. The confidence value is based on a fuzzy matching technique that generates element scores indicating how well the elements are satisfied by the user. The confidence value can also be based on weighted element scores, and estimates generated for elements for which user data is unknown.

Abstract: Techniques are disclosed for using natural language processing techniques to define, manipulate, and interact with consumer segmentations. In such embodiments a content consumption analytics engine can be configured to receive and process a natural language segmentation query. The query may comprise, for example, a command that defines a new segmentation, a command that manipulates existing segmentations, or a command that solicits information relating to existing consumer segmentations. The query is parsed to identify individual grammatical tokens which are then correlated with specific segment token types through the use of a token repository. A custom thesaurus is used to identify synonymous terms for grammatical tokens which may not exist in the token repository. User feedback enables the custom thesaurus to learn additional synonyms for future use.

Abstract: In embodiments of cross device visitor correlation, application data is generated by an application executing on a computing device, and a visitor identifier is included in the application data. The visitor identifier is associated with the computing device for a user who is not identified at the computing device from a user-provided log-in credential or email address. The application data can be communicated to a cloud data storage that maintains the application data to update instances of the application on one or more additional computing devices when the application data is requested. An additional computing device can receive the application data along with the visitor identifier, and then return the visitor identifier back to the cloud storage along with updated application data. A user of the computing device and the additional computing device is correlated as the same visitor by a visitor profile server based on the visitor identifier.

Abstract: In embodiments of customized and automated dynamic infographics, an infographic template is received at a cloud-based service from a computing device, where a user at the computing device creates the infographic template in a graphics application to display data obtained from data sources. The cloud-based service assigns an identifier to associate the infographic template and the data sources of the data, and posts the infographic template making it available for cloud-based access by other computing devices that request to display the posted infographic template. The cloud-based service can receive a request from one of the computing devices to update the displayed data, and then query the data sources for current data, where the query is based on the identifier that is associated with the posted infographic template. The cloud-based service can then transform the current data to generate updated data, and update the posted infographic template with the updated data.

Abstract: The present disclosure is directed toward systems and methods that mirror a display on a touch screen as well as touch gestures being performed on the touch screen. For example, systems and methods described herein involve detecting a touch gesture being performed on a touch screen and providing a semi-transparent animation of the touch gesture on a mirrored display. The semi-transparent animation can allow users to view both the mirrored display and the touch gesture animation.

Abstract: In embodiments of cross device visitor correlation, application data is generated by an application executing on a computing device, and a visitor identifier is included in the application data. The visitor identifier is associated with the computing device for a user who is not identified at the computing device from a user-provided log-in credential or email address. The application data can be communicated to a cloud data storage that maintains the application data to update instances of the application on one or more additional computing devices when the application data is requested. An additional computing device can receive the application data along with the visitor identifier, and then return the visitor identifier back to the cloud storage along with updated application data. A user of the computing device and the additional computing device is correlated as the same visitor by a visitor profile server based on the visitor identifier.

Abstract: Automated integration of partner products in connection with a web analytics application is facilitated. A list of available partner products is displayed, and the user is provided with an opportunity to select one or more of the displayed partner products. A wizard is presented, allowing the user to configure the partner product by specifying and mapping metrics, dimensions, and the like. Partner product integration then takes place automatically, thereby simplifying the process by which such integrations can be implemented.