Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a recommended target audience based on determining a predicted attendance utilizing a neural network approach. For example, the disclosed systems can utilize an approximate nearest neighbor algorithm to identify individuals that are within a similarity threshold of invitees for an event. In addition, the disclosed systems can implement an attendance prediction model to determine a probability of an invitee attending the event. The disclosed systems can further determine a predicted attendance for an event based on the individual probabilities. Based on identifying the similar individuals to, and the attendance probabilities for, the invitees, the disclosed systems can generate a recommended target audience to satisfy a target attendance for an event based on a predicted attendance for the event.

Abstract: A content generator system receives a request to generate content for a target entity, and one or more keywords. The content generator system retrieves, for the target entity, a current stage identifier linking the target entity to a current stage within a multi-stage objective. The content generator system generates an input vector including the current stage identifier, a target stage identifier, a token embedding comprising the one or more keywords, and a position embedding for each of the one or more keywords, the target stage identifier associated with a target stage within the multi-stage objective different from the current stage. The content generator system generates output text content for the target entity by applying a generative transformer network to the input vector. The content generator system transmits the output text content to a computing device associated with the target entity.

Abstract: Certain embodiments involve using machine-learning methods to generate a recommendation for sequential content items. A method involves accessing a content item associated with an interaction stage in an online environment. A stage graph, which includes a ratio of interactions, of the content item is generated. An additional content item that includes additional stage-transition content is identified. A sequencing function outcome indicating a portion of the ratio of interactions is determined. A transition probability of receiving an interaction with stage-transition content and an additional interaction with the additional stage-transition content is calculated. A content provider system is caused to provide a recipient device with interactive content that includes the additional content item.

Abstract: Techniques are disclosed for selecting audience members for a marketing campaign. A list of potential members is accessed, where each member is associated with a corresponding feature vector comprising features. A subset of the features is selected, and used to select a first group from the list for inclusion in the campaign, thereby also defining a second group from the list for exclusion from the campaign. A first similarity among the members in the first group is compared to a second similarity between the members in the first and second groups. If the first similarity is equal to or lower than the second similarity, the subset of features is updated to form a new subset of features, and the selection process of target audience member is repeated, until the first similarity becomes higher than the second similarity. Subsequently, the marketing campaign is launched with the first group of members.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a recommended target audience based on determining a predicted attendance utilizing a neural network approach. For example, the disclosed systems can utilize an approximate nearest neighbor algorithm to identify individuals that are within a similarity threshold of invitees for an event. In addition, the disclosed systems can implement an attendance prediction model to determine a probability of an invitee attending the event. The disclosed systems can further determine a predicted attendance for an event based on the individual probabilities. Based on identifying the similar individuals to, and the attendance probabilities for, the invitees, the disclosed systems can generate a recommended target audience to satisfy a target attendance for an event based on a predicted attendance for the event.

Abstract: Providing enhanced control to users to populate a cache in a database system. A user provides an explicit indication indicating the specific information (available from the data stored in a storage of the database system) to be populated in the cache, and the cache is populated with the corresponding information. The information in the cache (whether due to explicit indications or otherwise) can then be used to generate results of queries, without having to access the same information from the storage of the database system.

Abstract: Providing enhanced control to users to populate a cache in a database system. A user provides an explicit indication indicating the specific information (available from the data stored in a storage of the database system) to be populated in the cache, and the cache is populated with the corresponding information. The information in the cache (whether due to explicit indications or otherwise) can then be used to generate results of queries, without having to access the same information from the storage of the database system.

Abstract: Providing enhanced control to users to populate a cache in a database system. A user provides an explicit indication indicating the specific information (available from the data stored in a storage of the database system) to be populated in the cache, and the cache is populated with the corresponding information. The information in the cache (whether due to explicit indications or otherwise) can then be used to generate results of queries, without having to access the same information from the storage of the database system.

Abstract: Enabling validation of data stored on a server system. According to an aspect of the invention, a portion of the data is received at a client system and processed based on a rule to generate a result. The generated result is used to determine the compliance of the received portion of data with a requirement and thus validate the portion of data. According to another aspect, a user is provided a convenient interface to generate rules (including the requirement) for validating data stored on a server system.

Abstract: Providing enhanced control to users to populate a cache in a database system. A user provides an explicit indication indicating the specific information (available from the data stored in a storage of the database system) to be populated in the cache, and the cache is populated with the corresponding information. The information in the cache (whether due to explicit indications or otherwise) can then be used to generate results of queries, without having to access the same information from the storage of the database system.

Abstract: Enabling validation of data stored on a server system. According to an aspect of the invention, a portion of the data is received at a client system and processed based on a rule to generate a result. The generated result is used to determine the compliance of the received portion of data with a requirement and thus validate the portion of data. According to another aspect, a user is provided a convenient interface to generate rules (including the requirement) for validating data stored on a server system.