A system to quantify aggregate alignment of segmented text with an evaluator population, with a data processing system comprising memory and one or more processors, can segment a first extended text object into one or more evaluation text objects associated with a population reference, identify one or more text frame objects corresponding to the evaluation text objects, the text frame objects being associated with a second extended text object, generate, based on the text frame objects, one or more context identifier objects corresponding to the evaluation text objects, and generate a condensed text object including one or more of the evaluation text objects, the evaluation text objects being positioned in the condensed text object in response to output of a first machine learning model trained with input including at least one of the first extended text objects, the evaluation text objects, the context identifier objects, and the text frame objects.

A social network content recommendation system allows users to identify friends, recommend content to friends, and receive awards for influencing friends. Internet pages can be used to display rankings of recommended programs, user profiles and their awards, and dynamic chats relating to specific programs, such as television shows.

A social network content recommendation system allows users to identify friends, recommend content to friends, and receive awards for influencing friends. Internet pages can be used to display rankings of recommended programs, user profiles and their awards, and dynamic chats relating to specific programs, such as television shows.

Business methods related to contests, coupons, and advertising are described. Methods according to the disclosure can include methods related to movies and/or films, and can include company and/or product placement within the movies/films. The movies/films can be released in segments to users, and can be made using user input.

A communication session may be established between a customer device and a customer service representative device. An artificial intelligence assistant may access the communication session and receive an input. The artificial intelligence assistant may process in the input. The artificial intelligence assistant may determine one or more characteristics of the input. The artificial intelligence assistant may determine an output based on the characteristics of the input. The artificial intelligence assistant may communicate the determined output to the customer service representative.

A communication session may be established between a customer device and a customer service representative device. An artificial intelligence assistant may access the communication session and receive an input. The artificial intelligence assistant may process in the input. The artificial intelligence assistant may determine one or more characteristics of the input. The artificial intelligence assistant may determine an output based on the characteristics of the input. The artificial intelligence assistant may communicate the determined output to the customer service representative.

Systems and methods for generating, administering and analyzing a user experience study are provided. In particular, intents can be generated from a user experience study by applying one or more screener questions to participants and subjecting the screened participants to one or more tasks. Corresponding clickstreams and success data for each participant engaging in the tasks can be recorded. The success and clickstream data can also be aggregated for all the screened participants as aggregated results. Video data including audio for each of the screened participants can also be recorded.

Systems and methods for generating, administering and analyzing a user experience study are provided. In particular, intents can be generated from a user experience study by applying one or more screener questions to participants and subjecting the screened participants to one or more tasks. Corresponding clickstreams and success data for each participant engaging in the tasks can be recorded. The success and clickstream data can also be aggregated for all the screened participants as aggregated results. Video data including audio for each of the screened participants can also be recorded.

Methods and systems for facilitating donations to user preferred causes are disclosed herein. In accordance with one embodiment of the invention, the method comprises the steps of collecting a plurality of information corresponding to a user preferred payment methods and user preferred causes, detecting the users engagement in commerce, calculating a donation amount, prompting the user to verify or update the donation amount and causes the donation is for, and, in response to the user verifying the donation amount and causes, transferring the donation amount from the user preferred payment methods to the causes. In some embodiments, this method further comprises donation batching. In some embodiments, this method further comprises calculating and displaying an impact score corresponding to the quantitative or qualitative representation of the tangible effect of the donation based on the donation amount and the causes donated to.

A method for managing advertisement that is to be performed by a server includes a step of receiving a piece of advertisement type information from an enterprise device, a step of selecting pieces of candidate user information from among pieces of user information stored in the server based on the piece of advertisement type information, a step of receiving an advertisement material from the enterprise device, a step of selecting pieces of target user information that corresponds respectively to target users from among the pieces of candidate user information, and a step of performing an advertisement-pushing procedure with respect to the target users.