A computer-based content delivery method includes receiving from a first user a request for content; based on said request, delivering particular content to said first user, wherein said particular content was selected based on information associated with a second user distinct from said first user. The first second users are members of a similarity group, and the second user is a leader of said group and said first user is a follower in said group.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

A controlled-environment facility paid network-based activity controller, or the like, searches for paid network-based activity opportunities and determines a particular resident of the controlled-environment facility is eligible to participate in a particular activity. If, in accordance with rules and procedures of the controlled-environment facility, the resident is allowed to participate in the activity, an offer is made, on a personal controlled-environment facility resident communication and/or media device of the resident, for the resident to participate in the activity and/or to invite a non-resident to participate in an activity. The resident, and/or non-resident, is presented access to the activity, on the resident's or a non-resident device, in response to acceptance of the option to participate. Interaction, by the resident, via the device, is enabled to carry out the activity. Payment for participation by the resident and/or non-resident is collected and the resident compensated according to the facility rules and procedures.

A controlled-environment facility paid network-based activity controller, or the like, searches for paid network-based activity opportunities and determines a particular resident of the controlled-environment facility is eligible to participate in a particular activity. If, in accordance with rules and procedures of the controlled-environment facility, the resident is allowed to participate in the activity, an offer is made, on a personal controlled-environment facility resident communication and/or media device of the resident, for the resident to participate in the activity and/or to invite a non-resident to participate in an activity. The resident, and/or non-resident, is presented access to the activity, on the resident's or a non-resident device, in response to acceptance of the option to participate. Interaction, by the resident, via the device, is enabled to carry out the activity. Payment for participation by the resident and/or non-resident is collected and the resident compensated according to the facility rules and procedures.

A system includes a network interface, a processing system, and a memory system. The memory system stores instructions that when executed by the processing system result in receiving a request and request data associated with a user from a web server and analyzing the request data to identify one or more data gaps associated with the request. One or more third-party services are called to fill at least a portion of the one or more data gaps. A question set is prepared based on determining that the one or more data gaps remain at least partially unfilled. The question set is selected by a machine-learning component trained to adapt a sequence and content of the question set over a plurality of interactions with a plurality of users. The question set is transmitted to the web server for presentation to the user. Data exchanges can be authenticated using tokens.

The present teaching relates to method and system for advertising. The method obtains information related to an operational smart attribution evaluation package (SAEP) posted on a platform. The SAEP is related to a conversion associated with an advertisement displayed by a plurality of entities. The method parses the SAEP to obtain a conversion parameter, and generates a claim for the conversion based on the conversion parameter and information related to the advertisement, if the advertisement was previously displayed. Further, the method transmits the generated claim to the SAEP to be evaluated whether a reward is to be allocated.

The present teaching relates to method and system for advertising. The method obtains information related to an operational smart attribution evaluation package (SAEP) posted on a platform. The SAEP is related to a conversion associated with an advertisement displayed by a plurality of entities. The method parses the SAEP to obtain a conversion parameter, and generates a claim for the conversion based on the conversion parameter and information related to the advertisement, if the advertisement was previously displayed. Further, the method transmits the generated claim to the SAEP to be evaluated whether a reward is to be allocated.

A method for determining present or future trends, and providing a recommendation based on those trends is provided. The method includes receiving raw data, where the raw data is data which has not been cleaned or normalized, cleaning and normalizing the raw data, creating historic data via machine learning, comparing the cleaned and normalized data with the historic data, generating a model based on the compared cleaned and normalized data and the historic data, wherein the model generates one or more determinations, and providing the one or more determinations for use by a recommendation engine or a user. Additionally, a method of collecting specific data is provided. The method includes receiving a survey and additional information provided by a panelist on a mobile application, filtering and organizing the panelists, storing the collected information, providing the stored data to a server for cleaning and normalizing, and providing the panelist with rewards.

A method for determining present or future trends, and providing a recommendation based on those trends is provided. The method includes receiving raw data, where the raw data is data which has not been cleaned or normalized, cleaning and normalizing the raw data, creating historic data via machine learning, comparing the cleaned and normalized data with the historic data, generating a model based on the compared cleaned and normalized data and the historic data, wherein the model generates one or more determinations, and providing the one or more determinations for use by a recommendation engine or a user. Additionally, a method of collecting specific data is provided. The method includes receiving a survey and additional information provided by a panelist on a mobile application, filtering and organizing the panelists, storing the collected information, providing the stored data to a server for cleaning and normalizing, and providing the panelist with rewards.