Methods and apparatus to collect distributed user information for media impressions and search terms are disclosed. An example method includes accessing, from a media device, a first identifier and a search term at a first server, the first identifier corresponding to at least one of the media device or a user of the media device, the search term associated with a search request, generating a second identifier based on the first identifier, sending the second identifier and the search term from the first server to a data collection server to facilitate the data collection server to logging the search request, and receiving user information associated with the search request from a database proprietor based on the second identifier.

Techniques are described for providing customizable sign-on functionality, such as via an access manager system that provides single sign-on functionality and other functionality to other services for use with those services’ users. The access manager system may maintain various sign-on and other account information for various users, and provide single sign-on functionality for those users using that maintained information on behalf of multiple unrelated services with which those users interact. The access manager may allow a variety of types of customizations to single sign-on functionality and/or other functionality available from the access manager, such as on a per-service basis via configuration by an operator of the service, such as co-branding customizations, customizations of information to be gathered from users, customizations of authority that may be delegated to other services to act on behalf of users, etc., and with the customizations that are available being determined specifically for that service.

Techniques are described for providing customizable sign-on functionality, such as via an access manager system that provides single sign-on functionality and other functionality to other services for use with those services’ users. The access manager system may maintain various sign-on and other account information for various users, and provide single sign-on functionality for those users using that maintained information on behalf of multiple unrelated services with which those users interact. The access manager may allow a variety of types of customizations to single sign-on functionality and/or other functionality available from the access manager, such as on a per-service basis via configuration by an operator of the service, such as co-branding customizations, customizations of information to be gathered from users, customizations of authority that may be delegated to other services to act on behalf of users, etc., and with the customizations that are available being determined specifically for that service.

An online dating service provides matchmaking by finding a relationship match based on a comparison of preferences of one person to personal information of the other, and a compatibility score derived by comparing answers of the two persons to several surveys. The interested person can set a threshold value for the compatibility score to cull low-compatible matches, and can view a match's answers to decide if they want to proceed with an in-person meeting. Once both parties agree, an invitation is sent to set up the in-person meeting by asking each party to pay a one-time fee. If both parties confirm the invitation, the server debits their accounts and enables a date setup protocol. That protocol automatically selects one of the parties as a date initiator based on their genders and indications from each of them as to whether or not they want to decide the date details.

An online dating service provides matchmaking by finding a relationship match based on a comparison of preferences of one person to personal information of the other, and a compatibility score derived by comparing answers of the two persons to several surveys. The interested person can set a threshold value for the compatibility score to cull low-compatible matches, and can view a match's answers to decide if they want to proceed with an in-person meeting. Once both parties agree, an invitation is sent to set up the in-person meeting by asking each party to pay a one-time fee. If both parties confirm the invitation, the server debits their accounts and enables a date setup protocol. That protocol automatically selects one of the parties as a date initiator based on their genders and indications from each of them as to whether or not they want to decide the date details.

Systems and methods for transcription analysis of a recording are provided. The recording includes an audio and screenshot/video portion. The audio portion is transcribed using a machine learned model. Models may be selected by the recording quality and potentially accents or other speech patterns that are present. The transcription is then linked to the video/screen capture chronology, so that automatic scrolling is enabled, clip selection from the transcription, and searching to a video time is possible. There is improvements to user experience question generation, review of study results, and in managing the study participants.

This disclosure covers methods, systems, and computer-readable media that select answer choices from potential answer choices for a digital question based on responses to other digital questions and/or embedded user data. In certain embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on a multiple choice response. Furthermore, in some embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on keywords and/or sentiment values identified by analyzing a text response. In some embodiments, the disclosed systems select answer choices for a digital question from a dynamic choice reference dataset that comprises potential answer choices. Additionally, in one or more embodiments, the disclosed systems train and/or utilize a machine-learning model to select answer choices from potential answer choices for a digital question based on a response.

A method of providing digital content is disclosed. A request to view and interact with the digital content is received from a user. In response to the request, it is determined whether the user has advert-free rights to view and interact with the digital content. In response to determining that the user does not have the advert-free rights to view and interact with the digital content, the user is provided with an alternative advert (AA) query that includes AA query items. The AA query items include at least one preselected AA query item, where the preselected AA query item is enabled or not enabled to be unselected by the user. In response to determining that an AA query response to the AA query was received from the user within a predefined time period, the requested digital content is provided to a user device of the user without adverts.

The present disclosure relates to a response prediction system that intelligently optimizes the quality of responses to a survey by predicting response quality and generating suggested changes (e.g., improving question ordering, question phrasing, question type, etc.). For example, in one or more embodiments, the response prediction system predicts response quality based on extracted survey characteristics. The response prediction system uses the predicted response quality to generate suggested changes before publishing the survey. Additionally, the response prediction system collects feedback by analyzing responses after the survey has been published to update suggested changes specific to the survey.

Aspects of the subject disclosure may include, for example, a method that includes identifying, by a processing system including a processor, a first content source and a second content source as a ground truth set, training a machine learning model for use in determining a target audience score under a user-defined metric for a target audience of a content source not included in the ground truth set, and generating the target audience score using the trained model. Other embodiments are disclosed.