Abstract: Creation data can be received from a computer-readable developer profile, with the creation data including instructions to create a messaging bot. A messaging bot definition can be generated using the instructions, and a messaging bot may be executed using the definition. The instructions may include natural language instructions defining one or more messaging bot characteristics. The natural language instructions can be matched with one or more commands to include one or more characteristics in the messaging bot, and instructions for those characteristic(s) can be included in the messaging bot definition. The instructions can be instructions that are not in a computer programming language, and they can be instructions to create one or more general messaging bot characteristics configured to be implemented with a specific dialog structure that defines one or more specific natural language dialog scripts.

Abstract: A method disclosed herein for allows users to avoid such undesirable encounters by determining whether an undesirable contact of the user has opted for sharing location information, in response to determining that the undesirable contact has opted for sharing location information, collecting location signal from the undesirable contact, forecasting anticipated locations of the undesirable contact over a period based on the location signal of the undesirable contact, forecasting anticipated locations of the user over the period, determining potential of encounter between the user and the undesirable contact based on analysis of anticipated locations of the user and the anticipated locations of the undesirable contact over the period, generating an undesirable contact avoidance scheme based on the potential of encounter, and optionally notifying the user of the undesirable contact avoidance scheme.

Abstract: A computer-implemented technique is described herein by which a first user can forward notification information to one or more other users, including a second user. The first user can interact with the notification information via a first computing device, while the second user can interact with the notification information using a second computing device. In some implementations, both the first computing device and the second computing device have access to an application which has generated the notification information or to which the notification information otherwise pertains. In other implementations, the second computing device may lack access to the application. In some implementations, the first user receives the notification information and then explicitly and manually controls the forwarding of the notification information (or a version of the notification information) to the second user.

Abstract: A computer system can conduct corresponding natural language dialogs with multiple computer-readable profiles using a computer proxy messaging bot. For example, a first set of natural language instructions can be received via a computer messaging proxy bot from a first computer-readable profile. The first set of natural language instructions can be analyzed via the proxy bot. Also, first and second natural language dialog scripts can be generated via the proxy bot using results of the analyzing of the first set of natural language instructions, with the second natural language dialog script including natural language data derived from the first set of natural language instructions. The first natural language dialog script can be sent to the first profile via the proxy bot and the second natural language dialog script can be sent to a second computer-readable profile via the proxy bot, both in response to the first set of instructions.

Abstract: A user profile and messaging bots can be joined to participate in a group chat session. A first natural language requirement set can be received from the profile and sent to the bots. A first solution set from a first bot can be processed, with the set including a first natural language script describing a first solution to the requirement set. A second solution set from a second bot can be processed, with the set including a second natural language script that describes a second solution to the requirement set. The first and second scripts can be sent to the profile, and at least part of each solution set can be sent to the other bot. A selection of the first bot for providing a solution to the requirement set can be received from the profile, and an indication of the selection can be transmitted to the first bot.

Abstract: A method disclosed herein for allows users to avoid such undesirable encounters by determining whether an undesirable contact of the user has opted for sharing location information, in response to determining that the undesirable contact has opted for sharing location information, collecting location signal from the undesirable contact, forecasting anticipated locations of the undesirable contact over a period based on the location signal of the undesirable contact, forecasting anticipated locations of the user over the period, determining potential of encounter between the user and the undesirable contact based on analysis of anticipated locations of the user and the anticipated locations of the undesirable contact over the period, generating an undesirable contact avoidance scheme based on the potential of encounter, and optionally notifying the user of the undesirable contact avoidance scheme.

Abstract: A computer system can conduct corresponding natural language dialogs with multiple computer-readable profiles using a computer proxy messaging bot. For example, a first set of natural language instructions can be received via a computer messaging proxy bot from a first computer-readable profile. The first set of natural language instructions can be analyzed via the proxy bot. Also, first and second natural language dialog scripts can be generated via the proxy bot using results of the analyzing of the first set of natural language instructions, with the second natural language dialog script including natural language data derived from the first set of natural language instructions. The first natural language dialog script can be sent to the first profile via the proxy bot and the second natural language dialog script can be sent to a second computer-readable profile via the proxy bot, both in response to the first set of instructions.

Abstract: Traffic data reconciliation and brokering are provided. A traffic data brokering system ingests traffic-related data provided from a plurality of data sources, analyzes the data, and reconciles the data for identifying accurate, up-to-date, and comprehensive traffic data. The system identifies current traffic conditions based on identified relationships between pieces of received data, calculates confidence scores, and determines which pieces of data are accurate based on the calculated confidence scores. The traffic data brokering system provides the reconciled traffic data to various users of traffic data, such as individuals or third-party services. One aspect includes a route generation engine that determines and provides recommended route(s) to clients. Another aspect includes a forecast engine that predicts traffic conditions based on past traffic data. The forecasted data can be used to determine recommended routes.

Abstract: Creation data can be received from a computer-readable developer profile, with the creation data including instructions to create a messaging bot. A messaging bot definition can be generated using the instructions, and a messaging bot may be executed using the definition. The instructions may include natural language instructions defining one or more messaging bot characteristics. The natural language instructions can be matched with one or more commands to include one or more characteristics in the messaging bot, and instructions for those characteristic(s) can be included in the messaging bot definition. The instructions can be instructions that are not in a computer programming language, and they can be instructions to create one or more general messaging bot characteristics configured to be implemented with a specific dialog structure that defines one or more specific natural language dialog scripts.

Abstract: A method disclosed herein for allows users to avoid such undesirable encounters by determining whether an undesirable contact of the user has opted for sharing location information, in response to determining that the undesirable contact has opted for sharing location information, collecting location signal from the undesirable contact, forecasting anticipated locations of the undesirable contact over a period based on the location signal of the undesirable contact, forecasting anticipated locations of the user over the period, determining potential of encounter between the user and the undesirable contact based on analysis of anticipated locations of the user and the anticipated locations of the undesirable contact over the period, generating an undesirable contact avoidance scheme based on the potential of encounter, and optionally notifying the user of the undesirable contact avoidance scheme.

Abstract: Implementations described herein disclose an informed join recommendation system that allows users to make informed decision about joining various information sources such as a feed, an application, a group, a blog, a news source, etc., based on an activity grade of the information sources. The informed join recommendation system analyzes information dissemination activity of information sources over a predetermined time period to determine an activity grade of the information source, and in response to the request from a user to join the information source, provides the user the activity grade of the information source.

Abstract: Implementations described herein disclose a system for providing extendible user profiles for user groups by providing a group formation user interface to a group administrator, wherein the group formation user interface allows the group administrator to add group specific fields, creating a group table including the group specific fields, and linking the group table to the user profile tables.

Abstract: Creation data can be received from a computer-readable developer profile, with the creation data including instructions to create a messaging bot. A messaging bot definition can be generated using the instructions, and a messaging bot may be executed using the definition. The instructions may include natural language instructions defining one or more messaging bot characteristics. The natural language instructions can be matched with one or more commands to include one or more characteristics in the messaging bot, and instructions for those characteristic(s) can be included in the messaging bot definition. The instructions can be instructions that are not in a computer programming language, and they can be instructions to create one or more general messaging bot characteristics configured to be implemented with a specific dialog structure that defines one or more specific natural language dialog scripts.

Abstract: Implementations described herein disclose a road hazard detection method including receiving a plurality of mobile device sensor signals from one or more sensors located on a mobile device within a vehicle, determining the road hazard encountered by the vehicle by analyzing the plurality of mobile device sensor signals, and reporting the existence of the road hazard to other users. In one implementation, the road hazard detection method also uses sensor signals from various sensors located on the vehicle and/or sensor signals from mobile devices of users on other vehicles to determine the road hazard.

Abstract: A method disclosed herein for allows users to avoid such undesirable encounters by determining whether an undesirable contact of the user has opted for sharing location information, in response to determining that the undesirable contact has opted for sharing location information, collecting location signal from the undesirable contact, forecasting anticipated locations of the undesirable contact over a period based on the location signal of the undesirable contact, forecasting anticipated locations of the user over the period, determining potential of encounter between the user and the undesirable contact based on analysis of anticipated locations of the user and the anticipated locations of the undesirable contact over the period, generating an undesirable contact avoidance scheme based on the potential of encounter, and optionally notifying the user of the undesirable contact avoidance scheme.

Abstract: Techniques for providing digital assistant devices with the capability to plan and execute complex macrotasks. In an aspect, a digital assistant device queries an online macrotask repository for task templates associated with a macrotask. The task templates may be designed and configured by Internet crowd-sourcing, with oversight from human editors. Based on a retrieved task template, a digital assistant device may automatically execute autonomous microtasks specified by the task template, and further elicit user input for executing certain microtasks requiring user oversight and/or confirmation. The online macrotask repository enables digital assistant devices to execute a broad range of complex macrotasks that would otherwise be difficult to execute in a satisfactory manner.

Abstract: One or more techniques and/or systems are provided for cloud service hosting on a client device. For example, a cloud service may comprise data and/or functionality that may be consumed by apps on client devices. The cloud service may be hosted within a cloud computing environment because a client device may not comprise processing resources capable of hosting the entire cloud service. Accordingly, a local service may be deployed on a client device as a local instantiation of the cloud service. For example, the local service may be a local instantiation of at least a portion of the data and/or functionality of the cloud service. In this way, the local service may utilize fewer resources than the cloud service, and may locally process requests from apps on the client device. For example, a map local service may process requests using map data locally cached from a map cloud service.

Abstract: In various implementations, routing factors are identified based on a routing request associated with a user, where the routing factors include route preferences of the user. Routes are generated based on the routing request. Preference weights are determined for the route preferences, where the preference weights correspond to machine learning models based on sensor data provided by one or more sensors in association with the user. Route scores are determined for the routes based on the preference weights. A suggested route is provided to a user device associated with the user, where the suggested route corresponds to a selected route of the routes and is provided based on the route score of the selected route.

Abstract: A user is allowed to communicate with a chatbot. A menu is provided to the user that includes a list of actions that can be performed by the user. Whenever natural language input asking a question is received from the user, this input is forwarded to the chatbot, a response to this input is received from the chatbot, this response is provided to the user, and the menu is again provided to the user. Whenever natural language input is received from the user requesting an action that is not one of the actions in the menu, this input is forwarded to the chatbot, a response to this input is received from the chatbot, where this response includes another menu that includes a list of subsequent actions that are related to the requested action and can be performed by the user, and this other menu is provided to the user.

Abstract: A system demand-based transport includes a reservation intake engine that receives rider transit requests from various computing devices. Each rider transit request specifies at least one stop request associated with one a plurality predesignated stop locations. Responsive to receiving one or more of the rider transit requests, a route planner plans a transportation route that includes planned stops selected from the predesignated stop locations.