A method, non-transitory computer readable medium, apparatus, and system for data clustering are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a structured query for a database of users based on the prompt. A user experience platform generates a user segment of the users based on the structured query.

A method, non-transitory computer readable medium, apparatus, and system for data processing are described. An embodiment of the present disclosure includes receiving, from a content provider via a user interface, a query about a chart that includes information related to a domain. A machine learning model generates a response to the query based on the chart and a corpus of documents in the domain. The response includes information from the corpus of documents. The user interface provides at least a portion of the response to the content provider.

A method, non-transitory computer readable medium, apparatus, and system for content generation are described. An embodiment of the present disclosure includes identifying, by a user experience platform, a content distribution campaign. The user experience platform obtains feedback for the content distribution campaign. Embodiments of the present disclosure further include generating content for a modified content distribution campaign based on the feedback using a machine learning model.

A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a campaign brief based on the prompt. The campaign brief includes an identification of a user segment, an identification of a communication channel, and a content element. The machine learning model is trained using training data including a plurality of campaign briefs. A user experience platform provides content corresponding to the content element to a user from the user segment via the communication channel based on the campaign brief.

A method, non-transitory computer readable medium, apparatus, and system for contextual content generation are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a content provider context for the user experience platform. The content provider context includes profile information for a content provider and an interaction history of the content provider. The user experience platform obtains a prompt based on the content provider context. Embodiments of the present disclosure further include generating content for a project within the user experience platform based on the prompt using a machine learning model.

A computer-implemented method of using the Internet to promote goods and services and connect merchants with potential purchasers in chat groups who wish to obtain suitable sources of goods and services is provided, wherein a plurality of users each have a computer device provided with chat application software and software for accessing and interactively communicating via a computer network with a server provided with a search engine for searching the Internet. Users initiate a chat conversation among a group of users. One of the users invokes a search application using the search engine. The user conducts a search of the Internet for products or services, reviews the results of the search, selects a product or service located by the search, and shares the selected search result with the chat conversation. One of the users can order the selected product or service as part of the process.

A system and computer-implemented method for operating a fantasy league including: fantasy player information including performance history of one or more real-world athletes selected as fantasy players is stored. Sponsorship information associated with the fantasy player is stored on at least one of an individual or team basis. An operational request from a fantasy client device is received. An association between the operational request and the fantasy player is determined. An operational result is determined. At least one item of sponsorship information is associated with the operational result. The operational result and the sponsorship information are transmitted. An alert window is displayed at the fantasy client device including the sponsorship information.

Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.

In a server device, a user information acquirer acquires user information about a target user, among users that have accessed a second service (for example, an affiliated service such as a sales service) via link information set in content that a content creator has posted to a first service (for example, an external service), that has an account with the second service. A processor uses the user information to perform processing for assisting matching of a sponsor and the content creator.

Classification of the user of an attention application is moved from the cloud, where the classification is performed by advertisers based on trackers that follow a user, to the attention application itself. A user of the attention application controls inputs to the classification model and can exclude sensitive privacy information from inclusion in the classification model. The classification model is applied locally at the attention application to a catalog of advertisements and without revealing to trackers and advertisers whether attention was paid to particular ads. An analytics provider may have increased access to attention applications and can form ad campaigns and provide performance data thereon to advertisers without infringing attention user privacy. The system directs value away from trackers and advertisers and to attention application users and publishers.