Abstract: A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

Abstract: Systems, methods, and computer-readable media for lazy tracking mechanisms for web caching systems are provided. The lazy tracking mechanism may track and perform asynchronous (async) computation of dirty records for client-side caching mechanisms. The async computation of dirty records may include tracking or accounting for invalidated records relevant to a particular client or user system. Invalidation messages may be sent to client/user systems in response to receipt of a request for updated records, or in response to a request for a particular item. Other embodiments may be described and/or claimed.

Abstract: A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

Abstract: Embodiments regard deduplication of application program interface calls. An embodiment of an apparatus one or more processors to process data; a computer memory; and a network interface, wherein the apparatus includes an intermediary layer between one or more components of the apparatus and the network interface, the intermediary layer to perform deduplication of multiple server API calls from one or more components for the one or more APIs, wherein the deduplication includes one or more of preventing transmission of duplicated server calls from the one or more components to the one or more APIs; and generating one or more combined server calls based at least in part on the plurality of server API calls and transmitting the one or more combined server calls to the one or more APIs.

Abstract: A database system supports live record invalidation at one or more client systems. As client system request database resources such as data objects from the database system, the database system registers entries at an object user map that indicates which objects are active and what client systems are viewing such objects. If one of the objects is changed, the database server utilizes the object user map to identify other client systems that are viewing the changed record. The database server may transmit change event indications to the client systems, and the client systems can request the updated data corresponding to the updated object.

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for facilitating management of user queries and dynamic filtration of responses based on group filters in an on-demand services environment in a multi-tenant environment according to one embodiment. In one embodiment and by way of example, a method includes receiving, at a first computing device, a query via an application programming interface (“API”) of a software application at a second computing device, where the query includes one or more filter parameters including a size filter parameter. The method may further include evaluating the query based on the one or more filter parameters including the size filter parameter, selecting a first response based on the size filter parameter, and communicating the first response to be viewed via the API at the second computing device.

Abstract: Systems, methods, and computer-readable media for lazy tracking mechanisms for web caching systems are provided. The lazy tracking mechanism may track and perform asynchronous (async) computation of dirty records for client-side caching mechanisms. The async computation of dirty records may include tracking or accounting for invalidated records relevant to a particular client or user system. Invalidation messages may be sent to client/user systems in response to receipt of a request for updated records, or in response to a request for a particular item. Other embodiments may be described and/or claimed.

Abstract: The technology disclosed includes a method for initiating a web service through an action item within a post in a social media network. A request is received from a user for a post to a social network. The request includes a definition for an action-link-group, which comprises one or more action links. The post is created to include the action-link-group and is then uploaded to the network. Upon receiving a selection of an action link within the action-link-group, an action item associated with the action link is performed.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for facilitating management of user queries and dynamic filtration of responses based on group filters in an on-demand services environment in a multi-tenant environment according to one embodiment. In one embodiment and by way of example, a method includes receiving, at a first computing device, a query via an application programming interface (“API”) of a software application at a second computing device, where the query includes one or more filter parameters including a size filter parameter. The method may further include evaluating the query based on the one or more filter parameters including the size filter parameter, selecting a first response based on the size filter parameter, and communicating the first response to be viewed via the API at the second computing device.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for facilitating management of user queries and dynamic filtration of responses based on group filters in an on-demand services environment in a multi-tenant environment according to one embodiment. In one embodiment and by way of example, a method includes receiving, at a first computing device, a query via an application programming interface (“API”) of a software application at a second computing device, where the query includes one or more filter parameters including a size filter parameter. The method may further include evaluating the query based on the one or more filter parameters including the size filter parameter, selecting a first response based on the size filter parameter, and communicating the first response to be viewed via the API at the second computing device.

Abstract: The technology disclosed includes a method for initiating a web service through an action item within a post in a social media network. A request is received from a user for a post to a social network. The request includes a definition for an action-link-group, which comprises one or more action links. The post is created to include the action-link-group and is then uploaded to the network. Upon receiving a selection of an action link within the action-link-group, an action item associated with the action link is performed.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for facilitating management of user queries and dynamic filtration of responses based on group filters in an on-demand services environment in a multi-tenant environment according to one embodiment. In one embodiment and by way of example, a method includes receiving, at a first computing device, a query via an application programming interface (“API”) of a software application at a second computing device, where the query includes one or more filter parameters including a size filter parameter. The method may further include evaluating the query based on the one or more filter parameters including the size filter parameter, selecting a first response based on the size filter parameter, and communicating the first response to be viewed via the API at the second computing device.