Abstract: A field device, method, and non-transitory computer readable medium provide for cost of lost opportunity to operators in real-time using an advance process control. The field device includes a memory and a processor operably connected to the memory. The processor receives current values and average values for controlled variables and manipulated variables; determines costs of lost opportunity for each of controlled variable variance issues, limit issues, model quality issues, inferential quality issues, and variable model issues based on the current values and the average values of the controlled variables; and stores the costs of lost opportunity for the field device.

Abstract: A device may receive third-party data associated with merchants and may receive customer interest data associated with customers of the merchants, wherein the customer interest data includes data identifying locations of the customers and birthdates of the customers. The device may train a machine learning model, with the third-party data and the customer interest data, to generate a trained machine learning model. The device may receive, from a user device, data identifying a location and a birthdate of a particular customer of a particular merchant, wherein the particular merchant is one of the merchants, and may process the data identifying the location and the birthdate of the particular customer, with the trained machine learning model, to determine a predicted interest of the particular customer. The device may perform one or more actions based on the interest of the particular customer.

Abstract: The present disclosure is related to systems and methods for determining an optimal strategy. The method includes classify one or more users into a first user group and a second user group using an optimization model, wherein the first user group and the second user group correspond to two strategies, respectively. The method also includes obtain behavior data from terminals of the one or more users in the first user group and the second user group. The method further includes determine a first value of a parameter regarding the first user group and a second value of the parameter regarding the second user group using the optimization model. The method further includes determine a strategy based on the first value and the second value.

Abstract: Aspects of the subject disclosure may include, for example, receiving information associated with a first shopper of a plurality of shoppers from a monitoring device monitoring for presence of the plurality of shoppers; detecting, according to the information, entry into a store by the first shopper; identifying (responsive to detecting the entry) the first shopper, resulting in a first identification; generating (based upon the first identification) a first layout, the first layout comprising for each of a plurality of display screens situated along a route a respective visualization to be displayed, each respective visualization being part of a plurality of visualizations; detecting (responsive to receiving first motion data from the monitoring device) first movement by the first shopper to a first location that is proximal to a first display screen of the plurality of display screens; providing on the first display screen (responsive to detecting the first movement to the first location) a first visualizat

Abstract: Systems and methods for broadcasting a video stream are disclosed. The systems and methods can receive a video stream from a broadcaster, process the video steam, store the video streaming, and deliver the video stream to a viewer as a live video stream or a video on demand. The viewer may use an access token to access the video stream. The systems and methods may include an error detection mechanism for detecting an interrupt in the video stream. The systems and methods can restore the access token to its original state if an error is detected. The systems and methods can also include one or more link sharing mechanisms for sharing links to a video stream. The shareable links may be associated with share tokens.

Abstract: Techniques are provided for analytically generating micro-service Consumer- Driven Contracts and automated tests. One method comprises obtaining a plurality of usage data records for consumers of a service from a run-time environment; extracting data features from the usage data records; applying a clustering algorithm to the usage data records to assign the usage data records to a given usage pattern cluster of a plurality of usage pattern clusters based on the extracted data features, wherein each of the plurality of usage pattern clusters comprises usage data records; and performing the following steps when the clustering algorithm creates a new usage pattern cluster: creating a new Consumer-Driven Contract that defines consumer expectations of the service, with respect to the new usage pattern associated with the new usage pattern cluster; and generating automated Consumer-Driven Contract tests to test the new Consumer-Driven Contract.

Abstract: Examples to determine media impressions using distributed demographic information are disclosed. An example apparatus includes a reporter to detect at the client device a login event. The example apparatus also includes a communication interface to send a communication to an impression monitor system in response to the reporter detecting at the client device the login event via the login webpage, the login event associated with a first Internet domain different from a second internet domain of the impression monitor system. The example communication interface also sends a login reporting message to the database proprietor, the login reporting message including first and second cookie identifiers, the first cookie identifier associated with the first Internet domain, and the second cookie identifier associated with the second Internet domain of the impression monitor system.

Abstract: Methods and apparatus for managing models for classification of online users are disclosed. An example method includes determining a segment associated with a received impression, determining whether the received impression includes an indication that the received impression is the result of a conversion associated with the segment, determining a current ratio of converted to non-converted impressions associated with a classification model associated with the segment, determining a difference between the current ratio and a target ratio, and storing an indication of the received impression for use in at least one of training or updating a classification model associated with the segment when: (a) the difference does not meet a threshold or (b) counting the received impression in the ratio would reduce the difference.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve multi-demographic modeling efficiency. An example apparatus includes a feature set aggregator to segregate training data based on feature sets of interest, and to identify households that participate in at least one of the feature sets of interest, a class enumerator to reduce multi-demographic model iterations by enumerating demographic combinations for the identified households, the enumerated demographic combinations including a single identifier to represent a combination of two or more demographic categories, and a modeling engine to generate training coefficients associated with respective ones of the enumerated demographic combinations.

Abstract: A time series system is updated using a data-verification system. The aggregation system may include one or more aggregators. When an upgrade is appropriate, a shadow aggregator may be added to the set of active aggregators. Metrics are provided from one or more collectors to an active aggregator. The shadow aggregator may receive the metrics intended for a particular aggregator, process the metric, and then pass the metric to the intended aggregator for processing. After a period of time, the shadow aggregator data is verified against the intended aggregator data. If the shadow aggregator data is verified, the shadow aggregator becomes an active aggregator and processes data as normal.

Abstract: Embodiments can receive data granularities for data elements, wherein a weekly granularity is received for a first data element and a monthly granularity is received for a second data element. A selection of a cross-section of data can be received spanning a plurality of dimensions in the multi-dimensional data model, the selection including a first data combination based on the first data element and a second data combination based on the second data element. The weekly data of the first data element can be mapped to monthly data according to a predetermined conversion calculation. In a form, monthly data can be displayed for the second data combination based on the second data element and monthly data for the first data combination based on the mapped monthly data.

Abstract: Methods, systems, apparatus and articles of manufacture to determine causal effects are disclosed herein. An example apparatus includes a weighting engine to calculate a first set of weights for a first set of covariates corresponding to a treatment dataset and a second set of weights for a second set of covariates corresponding to a control dataset using maximum entropy, the first set of weights to equal the second set of weights.

Abstract: Personalized electronic content is generated for display on a user computer. The content is generated by first matching a targeted user online identifier to one of a plurality of user online identifiers associated with a master ID in a database. Using online user behavior associated with the user online identifiers of the master ID, a preliminary set of personalized electronic content is generated. A set of content usage parameters is applied to the preliminary set of personalized electronic content to define the personalized electronic content, which is then transmitted and displayed on a user computer. The personalized electronic content may comprise targeted advertisement utilized to populate a webpage or an email template defined by an online marketing campaign.

Abstract: A system and method in accordance with example embodiments may include providing functionality triggers to a consumer's mobile device in response to using a payment card in order to make a purchase. Functionality triggers may include account functionality, rewards functionality, social networking functionality, and offer or advertisement functionality to be performed on a consumer's mobile device.

Abstract: New account recommendations for user account sets are described. A system creates an accounts profile for a set of accounts based on multiple attributes associated with each account of the set of accounts. The system calculates an account score for an account based on comparing multiple attributes associated with the account against the accounts profile, wherein the account is not in the set of accounts. The system determines whether the account score satisfies an account score threshold. The system recommends the account to a user associated with the set of accounts if the account score satisfies the account score threshold.

Abstract: In one general aspect, an interactive event-based information system is disclosed that includes an event-based data store for storing information about events selectively extracted from a plurality of machine-readable information sources. A live feed extraction interface is responsive to the event-based data store and has a feed publication output operative to publish a live feed of selected information about events. A live event feed user interface includes a live feed display interface operative to present a succession of visual information elements corresponding to events covered in the live event feed, and a drill-down interface responsive to user interaction to provide access to further information about the information elements from the data store.

Abstract: Systems and methods are disclosed for determining segments of online users from a correlated dataset. One method includes receiving, over a network, a plurality of datasets including user-related data of a plurality of users, each dataset being transmitted from a data owner; correlating, by at least one processor, the plurality of datasets into a correlated dataset; receiving a segmentation request for determining a plurality of users that qualify for a segment, the segmentation request including a set of segment rules to apply to the correlated dataset; determining, by accessing the correlated dataset, whether each user of the plurality of users qualifies for the segment based on the segment rule; and storing an indication of the segment in the correlated dataset for each user determined to qualify for the segment.

Abstract: Placing an event into a particular cluster can allow various inferences about the event. A new payment transaction that looks similar to a previously identified cluster of mostly fraudulent payment transactions, for example, may be higher risk. The present disclosure includes structural data improvements to the way that online clustering of events (which may include web events and not just payment transactions) occurs. A new event can be classified into a particular segment very quickly using feature table searching, which can allow for better decision making when a short timeframe is required (e.g. transaction processing, online advertising, etc.).

Abstract: Systems and methods for generating a hierarchical data structure are provided. An example method can include: acquiring sales data associated with items and item pairs in a category for a given period; filtering, based on a set of predetermined criteria, the sales data to obtain the items and the item pairs; generating document term matrices for the item pairs based on item description and item attributes; calculating attribute similarity measures and substitutability measures for the item pairs; performing, based on a set of predefined CBT generating rules, a hierarchical clustering on the document term matrices, item association, the substitutability measures and the attribute similarity measures; generating the CBT with a hierarchical grouping of the items; transforming the CBT to a dendrogram; pruning the dendrogram to generate a wireframe; regrouping the item pairs in CBT nodes with similar and substitutable attributes; and generating a user interface to visualize the CBT.

Abstract: In various example embodiments, a system and method for providing listing assistance to a user for generating an item listing is provided. In example embodiments, user input is received from a device of the user. Information regarding item listings that correspond to the user input is accessed. Statistic data is generated using the accessed information. The statistic data is provided for display to the device of the user for generating the item listing.

Abstract: Methods and apparatus for gathering data for media usage reports for a processing device is disclosed. An example apparatus includes means for gathering first usage data representative of usage of first media on a processing device, the first media being received from an external network source, the first usage data corresponding to at least one of (i) a first media type or (ii) a first user agent associated with the media; means for gathering second usage data representative of usage of second media on the processing device, the second media being received from a source that is local to the processing device, the second usage data corresponding to at least one of (i) a second media type or (ii) a second user agent associated with the media; and means for merging the first usage data and the second usage data into a respective user session to generate session data.

Abstract: An online services system provides monitoring of user interaction with third-party content. The monitoring is performed by a script in a web page provided by the online services system, which script provides a timer invoked when the browser leaves the online services system's page for a page comprising third party content. When the online services system serves the page, the browser reads the HTML to render the page, including the script with the timer. When the user leaves the online services system page, the timer begins, and when the browser returns to a page provided by the online services system, the timer ends and duration information from the timer is provided to the online services system. Applications include measurement of the quality of interaction between users and a third party advertisers, in which time spent viewing third party content is a proxy for the quality of the interaction.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: categorizing a plurality of customers based on whether or not each customer of the plurality of customers had (1) an online store transaction with a retailer, (2) an offline store transaction with the retailer, or (3) an online interaction with the retailer within a predetermined period of time; predicting, using a lifetime value (LTV) update model, a LTV for customers who did have an interaction or transaction with the retailer; predicting, using one or more LTV decay functions, the LTV for customers who did not have an interaction or transaction with the retailer; and determining an online advertisement for each customer based on the LTV for each customer.

Abstract: Systems and methods are provided that list application programming interfaces (APIs). A categorization tag for each API in the list is generated. The categorization tag identifies functions provided by the API. A user profile associated with the user is determined. A plurality of categories of the APIs is displayed such that each category is based on a common element of each categorization tag, and aspects of the user profile. In response to a selection of one selected category in the plurality of categories, the list of APIs matching the selected category is displayed. The list is ordered such that APIs having a greater relevance score are presented at a top of the list.

Abstract: A computer-implemented method for providing presentable transaction data of a product to a user may include obtaining preliminary transaction data of one or more purchasers other than the user; generating itemized transaction data based on the preliminary transaction data; obtaining one or more translation codes from one or more transaction entities; generating standardized transaction data based on the itemized transaction data and the one or more translation codes; retrieving identification data from the standardized transaction data; generating anonymized transaction data based on the standardized transaction data by withholding the identification data; generating presentable transaction data based on the anonymized transaction data; and transmitting, to a device associated with the user, the presentable transaction data.

Abstract: The disclosed subject matter is directed to systems, computer-implemented methods, apparatus and/or computer program products that facilitate highly targeted advertising to identified audience members across social media channels. In one embodiment, a method is provided that comprises extracting, by a system comprising a processor, target audience information from one or more non-social media data sources based on one or more target audience criteria, the target audience information identifying individuals included in the target audience group. The method further comprises matching, by the system, the individuals with their respective social media profiles at the one or more social media systems based on the target audience information, and facilitating, by the system, directing the targeted advertisements to the individuals via their respective social media profiles.

Abstract: Systems, methods, and computer-readable media are described for a geographic boundary determination service. A geographic boundary may be associated with one of a plurality of geographic locations, and the area within the geographic boundary may be within a specified distance of the geographic location and closer to the geographic location than to any other geographic location in the plurality of geographic locations. The geographic boundary determination service may determine geographic boundaries for existing locations or may determine a set of locations whose geographic boundaries satisfy various criteria. The geographic boundary determination service may further display geographic maps that include the geographic boundaries, demographic indices and other demographic information relating to the geographic boundaries, network coverage information relating to the geographic boundaries, and a targeted geographic region or regions that the boundaries overlap.

Abstract: Methods and apparatus for efficient execution of modules are disclosed. An example method includes generating, by a first module, a first module identifier, the first module having been instantiated by an advertisement on a webpage, loading, by the first module, a component, communicating the module identifier to the component, determining that a second module having a second module identifier has been loaded, and, in response to determining that the second module has been loaded, communicating, by the first module, the second module identifier to the component to instruct the component to communicate with the second module.

Abstract: Selection of a trait may be received. A complex segment rule may be created that is usable to evaluate one or more qualification events. For example, the segment rule may be usable to evaluate a combined recency and frequency of the one or more qualification events. The qualification events may be based on collected network data associated with the plurality of visitors with each qualification event corresponding to a separate qualification of visitor according to the trait. The qualification events may be evaluated together according to the segment rule. For example, the combined recency and frequency of the one or more qualification events may be evaluated according to the segment rule. Evaluating the segment rule may include estimating a segment population size in real-time.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage by a database proprietor are disclosed. An example method includes obtaining a count of media impressions occurring on a first type of computing device, a first portion of the media impressions corresponding to persons for whom demographic information is recognizable by a database proprietor and a second portion of the media impressions corresponding to persons for whom demographic information is unavailable to the database proprietor; and determining the demographic information for the second portion of the media impressions based on a first probability that media corresponding to the media impressions is accessed on the first type of computing device and based on a second probability that media is accessed on a second type of device.

Abstract: Systems and methods for automated profile to promotion matching are provided. A plurality of segment variable value pairs that define a plurality of possible segments for a population of consumers are first identified, as are a plurality of promotion variable value pairs of a promotional design space. The variable value pairs are assembled into a plurality of test promotions by different permutations. The test promotions are administered, and results are collected. Trends between specific segment variable value pairs and promotion variable value pairs that result in statistically relevant shifts in the obtained responses are identified and used to define segments. The defined segments are then matched to promotion types (collected from a promotion repository) based upon likelihood of a positive result. The matches are then classified by a behavioral economic classification, which then may be outputted to a marketer to provide insights into consumer motivations.

Abstract: Unique user impressions of advertisements on a social networking system may be tracked and approximated by the social networking system. After an advertisement is delivered to a user, identifying information about the advertisement is associated with the user if the advertisement was not previously presented to the user. An impression count records the number of unique impressions of the advertisement by users of the social networking system up to a predetermined threshold. After the predetermined threshold is reached, the social networking system records a sampling of the unique impressions. Upon request for the number of unique impressions for an advertisement, the social networking system may extrapolate the recorded unique impressions based on the predetermined threshold. In one embodiment, a time degradation factor may be applied to the sampling rate so that recent impressions are sampled more than older impressions.

Abstract: Systems and methods are provided for receiving a first message associated with a first sponsor and a second message associated with a second sponsor for inclusion in a message collection. The systems and methods determine a first priority parameter associated with the first message based on sponsored content, and a second priority parameter associated with the second message based on sponsored content. Based on a determination that there is insufficient message inventory to include both the first message and the second message in the message collection, the systems and methods prioritize the first message associated with the first sponsor in the message collection and excluding the second message associated with the second sponsor in the message collection, based on an amount of consideration associated with the first priority parameter received from the first sponsor and an amount of consideration associated with the second priority parameter received from the second sponsor.

Abstract: Systems, apparatus, methods, and non-transitory media for consumer interfaces including ambient map displays are discussed herein. Some embodiments may include a system with one or more servers. The one or more servers may be configured to generate a consumer interface including an ambient map display with a graphical representation of a map. The ambient map display may further include merchant location indicators within the map. The merchant location indicators may indicate the activity level for merchant locations that are determined to be near a consumer device, such as through a variable blink rate or other indicator. The activity level may represent, for example, the number of consumers at a particular venue or the rate of a particular consumer activity, such as transaction activity. The system may be configured to provide real-time merchant data to consumer device based on tracking the consumer device location.

Abstract: A method is provided, including the following method operations: accessing a first web page associated with a first domain using a browser of a device; in response to the accessing the first web page, accessing an identity server to retrieve an identifier for the browser that accessed the first web page, the identifier being stored to a local storage of the device; accessing a second web page associated with a second domain using the browser; in response to the accessing the second page, accessing the local storage of the device to retrieve the identifier; wherein accessing the first web page and accessing the second web page are associated to the identifier.

Abstract: A method of operating a user device includes receiving, by a processing device of the user device, a conditional ad object from a remote user device. The conditional ad object includes two or more instances of conditional content, one or more access mechanisms, and one or more conditions. Each condition is associated with a respective instance of conditional content when verified. The method includes analyzing the one or more conditions to determine if any of the one or more conditions are met. The method includes selecting a selected instance of the two or more instances of conditional content based on the analyzing of the one or more conditions. The method includes generating a user-selectable link based on the selected instance of conditional content and the one or more access mechanisms. The method includes outputting the user-selectable link via a user interface of the user device.

Abstract: A method and system receive consumer media consumption data and dynamically prioritize the allocation of marketing resources amongst a variety of media intellectual property (IP) assets and for a variety of media IP asset managers and owners to run automated targeted marketing campaigns. The system identifies patterns in consumer media consumption using a statistical model which detects media IP assets demonstrating a high likelihood of realizing an efficient marketing opportunity. The efficiency of a marketing opportunity is evaluated using a statistical model based on the identification of customers who are most likely to increase the frequency with which they stream the assets after being exposed to them via a marketing action in addition to the projected costs of reaching this audience. The system automatically constructs a marketing campaign. The campaign is presented to the asset manager/owner in a graphical user interface (GUI) which enables the option to purchase and execute the marketing actions.

Abstract: Methods and apparatus to assign demographic information to panelists are disclosed. An example disclosed method includes generating decoy database proprietor identifiers to protect privacies of members of panelist households corresponding to panelist database proprietor identifiers, the decoy database proprietor identifiers to be determined based on a probability density function so that a quantity of the decoy database proprietor identifiers is less than would be used if the decoy database proprietor identifiers were selected by a random selection process. The example method also includes querying a server at a database proprietor using the panelist database proprietor identifiers and the decoy database proprietor identifiers, to obtain demographic information and assigning, by executing an instruction with a processor, the panelist database proprietor identifiers to panelists in the panelist households based on the demographic information obtained from the server at the database proprietor.

Abstract: A system including a processor may filter a population to identify a group having members, and deliver, over an electronic network, a survey to members of the group to determine value preferences and value gaps. The survey may be made according to a set of paired comparisons or other related techniques. The system may generate vectors according to the determined value preferences and value gaps for members of the group, which may have lengths equal to numbers of determined values for the members. The system may cluster members of the group into segments by calculating patterns of differences between generated vectors. Results of this process enable the creation of a predictive model to estimate segment membership, which can be used in the generation of a promotion for display corresponding to a clustered segment, and deliver the promotion to a client device associated for display.

Abstract: Methods and apparatus for a system that solicits suggestions and evaluations of options (for goods, services, business/personal relationships, decisions, etc.) tailored to a subject. The evaluators, which may include the subject, provide input on the options (a rating, ratings, written evaluation, etc.) with respect to the subject. After receiving one or more such evaluations, the system may formulate a recommendation for the subject. If so, the system may notify the subject, evaluators, and/or other parties. It may also take appropriate actions to facilitate the recommendation (i.e., make a product available for sale, email a coupon, pass along a résumé, exchange contact information, etc.).

Abstract: Methods and systems for routing calls based on a minimum expected delay, classification, and priority of the call are provided. In some embodiments, when a call is received, the call is classified and prioritized within the classification. A minimum expected delay time is determined. Based on the minimum expected delay time, the classification, and the prioritization, the call is routed to a representative with instructions on how the call should be treated.

Abstract: A system may be configured to initiate a presentation of a user interface to the user; receive, via the user interface, a user selection of a life event; initiate a presentation of an event information user interface to the user; receive, via the event information user interface, life event information associated with the life event selected by the user; retrieve information associated with the life event selected by the user from substantially similar life events; calculate, in real-time, a life event score associated with the life event selected by the user, wherein the life event score is calculated based on at least a retirement score, the received life event information and the information retrieved from the substantially similar life events; and illustrate, via a retirement score interface in a user device, the retirement score and an impact of the at least one life event selected by the user.

Abstract: A method for providing user-customized information is disclosed. The method for providing user-customized information can provide information suitable for a user's situation by: obtaining information on a location where a terminal is located, and information on the time when the location information was obtained; obtaining situation information of a user of the terminal predicted on the basis of the location information and the time information; and requesting, to a server, situation-adaptive information corresponding to the user's situation on the basis of the obtained situation information of the user, pre-stored profile information of the user, and state information of the terminal at a time when the location information is obtained so as to obtain the situation-adaptive information from the server.

Abstract: In some embodiments, a computer implemented method of processing messages may include receiving priority information from at least one sponsor, the priority information to be used in determining a priority of one or more messages received from a plurality user devices, creating a message collection using a plurality of messages received from the plurality of user devices, and prioritizing at least one message in the message collection according to the received priority information.

Abstract: A method for social personality profiling for productivity enhancement includes defining a base profile for a subject end user identifying the end user. The method also may include prompting the subject end user to select a multiplicity of listed values defining respectively different ethical human behaviors, and additionally prompting the subject end user to rank a subset of the selected values. The method may yet further include transmitting the selected values to a different end user stored in connection with the subject end user, and receiving from the different end user a different ranked subset of the selected values. Finally, the method may include computing a composite ranked subset from the ranked subsets of the subject end user and different end user, identifying an avatar corresponding to the composite ranked subset and displaying a recommended action mapped in the fixed storage to the identified avatar.

Abstract: A patient anonymizing system includes a plurality of hashing appliances and data sources. Each appliance receives medical records containing at least confidential protected health information (PHI). A salt value is appended to each confidential PHI, and a hash is generated, which replaces the confidential PHI to generate an anonymized record. A master patient index server aggregates the anonymized records. A vector and cluster matching engine determines if the anonymized record matches a unique patient identifier corresponding to a second anonymized record. A comparison vector is generated by comparing hash values of the confidential PHI with hash values in the second anonymized record, and is crossed with a confidence vector having weights based on match conditions. This produces a match confidence level, which is compared to a threshold. If the threshold is met, the anonymized record is mapped to the unique patient identifier associated with the second record.

Abstract: Implementations are directed to identifying potential churn of a user of one or more computer-implemented systems provided by an enterprise. In some examples, actions include identifying potential churn of providing a plurality of event profiles based on historical data, each event profile being representative of interactions of users with the enterprise and corresponding to churn of the users, at least one event profile being representative of an interaction of users with the one or more computer-implemented services, providing a pulse of the user at least partially based on historical data associated with the user, and one or more event profiles of the plurality of event profiles, and determining that the user is at-risk of churn based on the pulse of the user and a risk index value, and in response, displaying an indication that the user is at-risk of churn in a graphical user interface.

Abstract: A data aggregations application is disclosed that can create data aggregations from transaction data reported by an upstream system. Data aggregations that are interrelated to one another are generated. The transaction data can be stored only in leaf nodes with transaction idempotency maintained. Parent nodes can be dependent upon the leaf nodes so that transaction is not required to be stored in the parent nodes.

Abstract: Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example method includes calculating, by executing an instruction with a processor, first viewing probabilities for tuning panelists in a tuning household. The example method also includes calculating, by executing an instruction with the processor, second viewing probabilities for viewing panelists in a plurality of learning households having a same household size as the tuning household. The example method also includes identifying, by executing an instruction with the processor, a matching one of the plurality of learning households based on a difference between the first viewing probabilities and respective ones of the second viewing probabilities.

Abstract: According to one implementation, a network supervision system includes one or more computing platform(s) coupled to multiple nodes of a network including the computing platform(s), the computing platform(s) including a hardware processor and a system memory storing a network participant supervising software code and a network participant registry. The hardware processor executes the network participant supervising software code to detect an anonymously administered node of the network, aggregate system log files of the anonymously administered node, and perform an analysis of the system log files using an unsupervised machine learning algorithm to identify an administrator of the anonymously administered node. The hardware processor further executes the network participant supervising software code to generate a registration record associating the administrator with the anonymously administered node, and update the network participant registry using the registration record.