Abstract: A method and system of matching a first product with a second product. The method including converting first product metadata with image metadata and textual data to a first product feature vector. Further, determining a distance between the first product feature vector and a second product feature vector of the second product, the second product feature vector stored in a database of product feature vectors. The distance is compared to a threshold distance, and if the distance is within the threshold distance, validating a match between the first product feature vector and the second product feature vector. The validating further includes geometrically verifying the image metadata of the first product corresponds to image metadata of the second product.

Abstract: The invention relates to a campaign management system comprising a computer-data processor memory, a graphical user interface, the management system processing a plurality of participant records according to a user-configured process structure of a plurality of configured logic templates; a plurality of participant records arranged to store participant contact interface information associated with participant contact interfaces; a plurality of logic templates; a plurality of graphical elements each associated with one of said logic templates; a graphical user interface arranged to display said graphical elements; wherein the campaign management system is configured for execution of a live mode and a test mode, wherein the live mode for the campaign executes executable program fragments of the process structure for processing of the individual participant records established for a respective campaign, wherein the test mode executes executable program fragment of the process structure of the respective campaign

Abstract: Systems and methods are described for monitoring and managing an online experience. An example method includes: obtaining user data describing interactions between a plurality of users and plurality of online services; determining, based on the user data, a rate of change in usage of the online services for each user in the plurality of users; assigning a portion of the users to a user segment based on the user data and the determined rate of change in usage; and based on the assignment, providing each user in the user segment with a customized experience in one or more of the online services.

Abstract: A computer-implemented method, and a computer system are provided for implementing dynamic and automatic altering a user profile based on machine learning and cognitive analysis to improve user performance. The user profile is dynamically altered based upon live data from multiple external data sources using machine learning and cognitive application programming interfaces (APIs) without explicit input from the user. The altered user profile is automatically stored for the user. The stored user profile is deployed for multiple selected user applications enabling enhanced performance for the user.

Abstract: Systems and methods are provided for generating and provisioning personalized news feeds for athletes. One embodiment is a system that receives metrics for exercise activities performed by athletes. The system generates records of the exercise activities of the athletes based on the metrics, determines a type of exercise for each record, classifies the records based on corresponding types of exercise, and compiles a fitness history, for each athlete, comprising records of exercise activities performed by the athlete. For each of the athletes, the system generates a digital news feed for the athlete, identifies categories of engagement for the athlete based on types of exercise indicated in the fitness history of the athlete, selects articles from a repository, personalizes the digital news feed for the athlete by populating the digital news feed with the selected articles, and transmits the digital news feed to a user device.

Abstract: A method, a device, and a non-transitory storage medium are described, which provide a recommendation system with performance management service. The service may include selecting and ranking content that relate to a user query and a problem associated with an application and/or a device. The service may include invoking a remedial procedure based on user feedback data. The service may include similarity and classification models based on successful recommendation records.

Abstract: A method is disclosed. The method may include establishing a connection with a client device via an application executing on the client device; detecting one or more web pages that the application of the client device has visited during the established connection; determining a target audience for the connection based on the detected one or more web pages; responsive to determining the target audience, identifying a set of content items from memory based on each content item of the set having a stored association with an identifier of the target audience in the memory; selecting a first content item from the set of content items; and transmitting the first content item to the client device over the connection for display on a web page.

Abstract: A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

Abstract: Various implementations described herein provide systems and methods for online advertising and, more particularly, systems and methods that utilize user preferences in providing online advertising. In various implementations, systems or methods described herein facilitate user control of user-related data with respect to online advertisement systems, which can include supply-side platforms (SSPs), advertisement exchanges, demand-side platforms (DSPs), content delivery networks (CDNs), ad networks, or adservers. In some implementations, the system and methods implement or otherwise facilitate a user advertisement preference service that enables online users to manage one or more user advertisement preferences and selectively provide those user advertisement preferences to online advertisement systems.

Abstract: A computing system receives user activity data from a user interacting with content associated with a third party computing system. The computing system generates a profile for the user based on the user activity data. The profile includes tags indicating attributes about the user. The computing system establishes a communication session between the user and the intelligent assistant via a chat interface. The computing system receives a message from the user to the intelligent assistant. The computing system determines that the message includes at least one key word triggering retrieval of relevant content. Based on the determining, the computing system retrieves content that is associated with the key word and relevant to the user based on the tags associated with the user profile. The computing system causes a client device associated with the user to display the content alongside the chat interface.

Abstract: A method and system for providing one or more suggested application features to a user of an application may include receiving an indication of a user action in a document, accessing contextual document data associated with the document, providing at least one of information about the user action or the contextual document data as input to a machine-learning (ML) model to predict a desired intent for the document, obtaining the predicted desired intent as an output from the ML model, identifying based on the predicted desired intent one or more application features that fulfil the desired intent, and providing data about the one or more application features for display.

Abstract: An apparatus and method for profile assessment, the apparatus including at least a processor, and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive user data, receive system data, classify the user data to a service type, generate a pecuniary adjustment assessment as a function of the classified user data and system data and output the pecuniary adjustment assessment.

Abstract: Systems and methods associated with providing content personalization are disclosed. In one embodiment, an exemplary method may comprise receiving first data including content preferences associated with an audience, receiving second data including an initial digital message being proposed for transmission to the audience, generating a recommendation data set based at least in part on the first data and the second data, wherein the recommendation data set identifies at least one recommended content type and at least one recommended message type, determining via a natural language generation machine learning model suggested content for the audience, and providing the suggested content for dissemination to the audience.

Abstract: A mobile device is used to initiate and execute a transaction between a customer and a merchant. A mobile device is used to initiate a point of sale transaction, wherein a merchant ID is sent to a payment processing server. Responsive to receiving a communication from the mobile device, the payment processing server requests transaction information from the merchant, wherein the merchant is identified based on the provided merchant ID. The merchant can provide transaction information such as the total sale amount to the payment processing server. The payment processing server can authenticate the customer and initiate a purchase transaction with the appropriate financial institutions associated with the customer and the merchant. The payment processing server can send a confirmation of the executed transaction to the merchant and the mobile device.

Abstract: Systems as described herein determine merchant enforced transaction rules. A determination server may receive transaction data associated with a plurality of merchants. The determination server may generate a histogram of payments associated with a merchant category and filter out transaction data having purchase amounts above or below a predetermined threshold. The determination server may determine a first average purchase amount associated with merchants in the merchant category and a second average purchase amount associated with each merchant in the merchant category. The determination server may determine user spending patterns and that a first merchant in the merchant category enforces one or more card-based transaction rules using machine learning models. After determining that a user device is proximately located to the first merchant, a notification indicating the one or more card-based transaction rules associated with the first merchant may be sent to the user device.

Abstract: A method and apparatus comprising generating a dynamic personalized webpage is disclosed. At least two webpages are loaded in a fashion that is hidden from the user. Content from the at least two webpages is extracted based on classification “of interest” by an artificial intelligence algorithm. A dynamic personalized webpage comprising extracted content is then generated and displayed to the user. In the preferred embodiment, the user's dynamic personalized webpage will be filled with advertisements tailored to the user and the user would receive 100% of the payment from the advertisers.

Abstract: Methods, computer-readable media, software, and apparatuses may retrieve, from a computing device at a vehicle, driving data, and determine, based on the driving data, a range of time when a driver of the vehicle has a low likelihood of accessing a web resource over a network. An online activity may be detected for an account associated with the driver. In some aspects, a time of the online activity may be compared to the range of time. Based upon a determination that the time of the online activity is within the range of time, a potentially unauthorized activity may be identified. In some aspects, in response to the potentially unauthorized activity, one or more steps may be triggered to protect the driver from the potentially unauthorized activity.

Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.

Abstract: Methods and apparatus to incorporate saturation effects into marketing mix models are disclosed. An example apparatus includes means for converting adstock data associated with an advertising campaign into effective reached realized (ERR) data based on a first saturation curve, the adstock data corresponding to adstocked gross rating points generated from marketing mix input data. The apparatus further including means for performing regression analysis to: identify the first saturation curve from among a plurality of plausible curves based on a fit of different ones of the plurality of plausible curves to the marketing mix input data, the first saturation curve to define a relationship indicative of saturation effects of the advertising campaign on a target audience of the advertising campaign; and determine an impact of the advertising campaign on sales during a period of interest based on a regression analysis of the ERR data relative to sales data.

Abstract: A credit scoring method and a server are provided. The method includes: determining at least one target user set in a plurality of user sets. The at least one target user set includes first behavior-unknown users whose predicted profit values are higher than second behavior-unknown users, the second behavior-unknown users are users other than the first behavior-unknown users on an application platform. The method also includes determining credit scores of first behavior-unknown users according to credit scores of behavior-known users in at least one determined target user set; obtaining first user samples from the first behavior-unknown users according to credit records of the first behavior-unknown users, the first user samples having profit values that satisfy a preset threshold; and performing credit scoring for a user according to a second scoring model obtained through training a first scoring model according to the first user samples and second user samples.

Abstract: Provided an information processor capable of proposing more useful items to a user. An information processor includes: a processor; and a memory. The memory holds: first information on a relationship between a first assistant and a first person to be assisted who is assisted by the first assistant; second information on a relationship between a second assistant and a second person to be assisted who is assisted by the second assistant; third information on an item purchase history of the first assistant and/or the first person to be assisted; and fourth information on an item purchase history of the second assistant and/or the second person to be assisted. The processor judges a similarity between the first information and the second information, and provides an advertisement based on the fourth information to the first assistant and/or the first person to be assisted if judging that a similarity is observed between the first information and the second information.

Abstract: Systems, methods, and computer-readable media are disclosed for optimizing a programmatic advertising system by continuously adjusting certain policies with respect to the advertising bids to manage and balance commitments made to publishers and/or advertisers. The policies may be modified to adjust an attach rate and/or a guaranteed bid rate to balance various type of advertising bids (e.g., open auction, private market place deals, preferred deals, etc.) and ensure that commitments publishers and/or advertisers are satisfied. The system may continuously track new bids and may adjust the policies in real time or near real time to achieve certain targets for submissions, impressions, and other well-known advertising metrics.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a survey workflow module, receiving a survey request event for which a survey is requested and generating a first feature vector for the survey request event, wherein the first feature vector comprises features extracted from the survey request event. The method also includes predicting, by a first trained prediction module, whether the survey request event will result in a survey based on the first feature vector, wherein the first trained prediction module is trained using a training dataset generated from a corpus of historical survey request event-survey data.

Abstract: A system for providing a third party engagement in a host property is provided. The system includes a user device structured to: provide an indication of an active user session associated with a host property, the host property communicatively coupled to a host property provider computing system; receive a third party engagement based on a trigger activated during the active user session, the trigger structured to generate the third party engagement; provide, via a graphical user interface comprising the host property, the third party engagement based on the trigger activated; and receive an indication of activation of the third party engagement.

Abstract: Methods and systems described herein recite the use of specific data structures for stateful data that include fields for populating with specific information that may be used to prevent and/or minimize the corruption in stateful data. The systems and methods may recite the application of specific data normalization sets that include functions to be applied to test data sets and control data sets, respectively, in order to prevent and/or minimize the corruption. Finally, the methods and systems may recite the determination of incrementality being based on uncorrupted impressions corresponding to test data sets and control data sets, respectively.

Abstract: A system and method are provided implementing user searching. The method includes receiving information from a potential user by an onboarding system including one or more attributes for attaching the user to one or more communities with similar attributes, and receiving one or more search terms from the user by a search system. A processor then performs a search based upon the received search terms and the one or more communities to which the user is attached, and a response to the search is displayed to the user on a display. A user preference to the presented response is confirmed by a preference system, and one or more communities to which the user is attached are dynamically updated, along with updating the attributes of the communities to which the user is attached in response to the user preference.

Abstract: The method includes: collecting historical operations of sample users for M items, and predicting a preference value of a target user for each of the M items according to historical operations of the sample users for each of the M items, collecting classification data of N to-be-recommended items, and classifying the N to-be-recommended items according to the classification data of the N to-be-recommended items, to obtain X themes, where each of the X themes includes at least one of the N to-be-recommended items, and the N to-be-recommended items are some or all of the M items; calculating a preference value of the target user for each of the X themes according to a preference value of the target user for a to-be-recommended item included in each of the X themes; and pushing a target theme to the target user.

Abstract: Examples to determine media impressions using distributed demographic information are disclosed. An example system includes programmable circuitry to log, at a first Internet domain, a first record for a first website visit by a first client device to a website at a second Internet domain, the first record based on a hypertext transfer protocol (HTTP) request, the first record to include a timestamp, a uniform resource locator (URL), and a user identifier, the timestamp to represent a time of the first website visit, the URL corresponding to the website at the second Internet domain, and weight impression data in a report, the impression data associated with the first record and with second records, the second records corresponding to second website visits to the website via second client devices, the weighting of the impression data based on demographic distributions of audience members corresponding to the first and second records.

Abstract: Disclosed herein are systems, methods, and apparatuses that can provide, for example, dynamic page feed recognition for providing zero-configuration analysis of web pages and tailored advertisement provision to website visitors. The systems, methods, and apparatuses can be used to analyze inventory feed. Based on analysis of user interaction data on the web pages, one or more matching methodologies can be used to determine matching data between the visited web pages and the inventory feed.

Abstract: Examples to determine media impressions using distributed demographic information are disclosed. An example system includes programmable circuitry to log, at a first Internet domain, a first record for a first website visit by a first client device to a website at a second Internet domain, the first record based on a hypertext transfer protocol (HTTP) request, the first record to include a timestamp, a uniform resource locator (URL), and a user identifier, the timestamp to represent a time of the first website visit, the URL corresponding to the website at the second Internet domain, and weight impression data in a report, the impression data associated with the first record and with second records, the second records corresponding to second website visits to the website via second client devices, the weighting of the impression data based on demographic distributions of audience members corresponding to the first and second records.

Abstract: Method and system for playing audio on a device, the method comprising the steps of a component of a digital work initiating a request for audio data during a rendering of the digital work, the digital work including video data. In response to the request, receiving the audio data. While continuing the rendering of the digital work on the device, suspending playback of first audio data currently playing on the device and playing the received audio data on the device. When the received audio data stops playing continuing with the rendering of the digital work on the device and resuming playback of the first audio data previously playing on the device.

Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: A control system determines whether a browser is retrieving supplemental content over a slow or faulty network using a tracking indicator. Based on determining that browser is retrieving supplemental content over a slow or faulty network, the control system modifies responses to opportunities to provide supplemental content to the browser. The control system may modify responses by declining to bid, responding with a lower bid amount, or responding with alternate supplemental content. Based on determining that browser is no longer retrieving supplemental content over a slow or faulty network, the control system modifies responses to opportunities to provide supplemental content to the browser by responding with a higher bid amount or responding with the original supplemental content. Thus, the control system maximizes the use of control system and campaign manager resources by responding to opportunities according to the likelihood that they will result in an impression or a conversion.

Abstract: An insight engine that takes into account a wide variety of information from a wide variety of sources for predicting a sales insight is generated. The insight engine is generated using machine learning. Historical customer-specific information, product-specific information, and environmental information are aggregated, based on customer, product, and/or time period, into historical customer profiles. The historical customer profiles are labeled with historical sales insights to form a training set. A machine learning algorithm is applied to the training set to generate an insight engine. The insight engine is applied to a target customer profile to determine a predicted sales insight for a target entity.

Abstract: Systems and methods for automated generation and presentation of thematic content objects to consumers in a retail environment are provided. A portable device may include a transmitter or transceiver that emits, produces or otherwise transmits a signal that includes information and/or data representative of an identifier that uniquely identifies the portable device. Upon entering an establishment thematic content delivery circuitry detects the presence of the portable device and obtains the identifier included in the signal emitted by the portable device. Using the identifier, the thematic content delivery circuitry determines a theme logically associated with the identifier. The thematic content delivery circuitry generates thematic content output that is logically associated with the theme and communicates the thematic content output to an output device. The thematic content output may include display output, audio output, tactile output, hardcopy output, or combinations thereof.

Abstract: Techniques for providing a seamless user experience across electronic and physical retail stores of a retailer include storing, locally with a session corresponding to a user's visit to the retailer's electronic store, indications of items that were viewed and/or focused on by the user at the electronic store. At least some of said indications may be transferred to a centralized data storage of the retailer for persistence after the session is terminated. Subsequently, an electronic device operated by the user may determine its location and determine, based on its location, a particular physical retail store of the retailer. Via communications with one or more retailer servers, items that were recently viewed by the user at the electronic store may be identified, and indications thereof may be presented on the display of the electronic device in conjunction with information corresponding to the recently viewed items at the particular physical store.

Abstract: A search query can be received. User parameters can be identified based on the search query. The search query can be refined to include the user parameters. A search result from a search for media content using the refined search query can be received. Based on at least one search result received from the search and based on the user parameters, an augmented media content can be generated. Playing of the augmented media content can be synchronized with a user's activity by controlling playing of the augmented media content while detecting the user's activity pace.

Abstract: A DNS server receives from a receiving email system, a DNS query for an email domain stored at the DNS server, the DNS query including identifying information of a sender of an email. The DNS server extracts the identifying information of the email sender from the DNS query and identifies one of a plurality of delivering organizations from the information. The DNS server determines whether the identified delivering organization is authorized to deliver email on behalf of the email domain. In response to determining that the identified delivering organization is authorized to deliver email on behalf of the email domain, the DNS server generates a target validation record based on the identity of the authorized delivering organization and the email domain, the target validation record including one or more rules indicating to the receiving email system whether the delivering organization is an authorized sender of email for the email domain.

Abstract: The disclosure discloses a method for analyzing educational big data on the basis of maps. The method includes acquiring educational resource data and storing the educational resource data into databases according to certain data structures; constructing theme map layers for each analysis theme, classifying and indexing data according to the analysis themes, and superimposing the theme map layers onto base maps to form data maps; analyzing data of the theme map layers according to the analysis themes and acquiring theme analysis results; extracting the data of the multiple theme map layers in target regions, fusing the data and acquiring region analysis results; acquiring learning preference of users; combining the learning preference of the users according to content of user requests and searching the region analysis results in response to the user requests. The disclosure further discloses a system for analyzing the educational big data on the basis of the maps.

Abstract: A laundry data analysis apparatus based on artificial intelligence according to an embodiment of the present invention includes: a communication unit configured to receive an image including laundry data related to characteristics of laundry from an image acquisition device corresponding to a group including at least one member; and a processor configured to recognize the laundry data from the received image, acquire additional data related to the characteristics of the laundry on the basis of the recognized laundry data, store laundry information including the laundry data and the additional data into a database, and acquire member characteristic information of each of the at least one member from a plurality of laundry information corresponding to the group stored in the database.

Abstract: The present invention provides a novel approach for consumer-driven interaction with sequencing data or genomic information. Sequencing data access, for users with a variety of access and permissions, may be mediated by a central hub. The hub may also facilitate access to the sequencing data for third party software applications. The hub may also provide data analysis or may have access to analyzed data to use such data in providing a user interface for a genome owner or for non-owner secondary users of the system.

Abstract: A computing device including memory storing a quantum computing device model. The quantum computing device model may include a plurality of quantum computing device components having a respective plurality of actual boundaries. The computing device may further include a processor configured to generate a first discretized model of the quantum computing device model. The first discretized model may indicate a respective estimated boundary for each quantum computing device component. The processor may be further configured to solve a first differential equation discretized with the first discretized model. The processor may be further configured to generate a second discretized model of a focus region of the quantum computing device model. In the second discretized model, the focus region may have the estimated boundary computed for the focus region in the first discretized model. The processor may be further configured to solve a second differential equation discretized with the second discretized model.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: Methods and devices for provisioning a secure application on an electronic device with first issuer data for a first issuer are described. In an embodiment, the provisioning system receives and stores first issuer records. The example provisioning system receives a provisioning request to provision the secure application with the first issuer data. The provisioning request includes identifying information. The example provisioning system evaluates the provisioning request based on at least one of the first issuer evaluation criteria, the first issuer records and the identifying information in the provisioning request. When the provisioning request satisfies the first issuer evaluation criteria, the example provisioning system generates a signal using the communication module to provide the first issuer data to the electronic device to provision the secure application on the electronic device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, from a client device, an ad request for an ad space being for presentation in a user interface of an application on the client device, sending, to bidder systems, a bid request on the ad space, receiving bids from the bidder systems, selecting, from the received bids, a cost-per-view bid corresponding to a first creative and a cost-per-impression bid corresponding to a second creative, and sending a message to the client device wherein the message comprises respective identifiers of the first and second creatives, and wherein the client device is configured to obtain the first creative and present the first creative in the ad space if the ad space is in view one the client device within a specified time period.

Abstract: To select the content to be presented to the user, a first latent vector is determined for a content item based on a first object associated with the content item. A second latent vector is determined for the content item based on a second object associated with the content item. A content item vector is then determined based on the first and second latent vectors. Furthermore, a user vector is determined based on interactions of the user with the first set of content objects and the second set of content objects. A score indicative of the likelihood of the user interacting with the content item is determined based on the content item vector and the user vector.

Abstract: Systems, computer program products, and methods are described herein for dynamic resource allocation based on vehicle route selection. The present invention is configured to receive an origin and a destination for a user; determine travel routes for the user; determine resource distribution entities along the one or more travel routes; determine resources associated with the resource distribution entities; display the travel routes, the resource distribution entities along each of the travel routes, and the resources associated with each of the resource distribution entities; receive a user selection of at least one of the travel routes; and distribute the resources to the computing device of the user along the at least one of the one or more travel routes selected by the user.

Abstract: The disclosed is an event-triggered advertisement communication system for vehicles and vehicle dealerships. In some embodiments, an advertising communication system may be configured to provide an advertisement campaign to a user designed to respond to certain events the user experiences in real-time. In some embodiments, the inventory advertisement management system may be designed to: (1) track whether the device is located within a predetermined perimeter; (2) provide current inventory attribute status associated the device; and (3) send advertisement campaigns to the user depending on attribute and location perimeters.

Abstract: A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.

Abstract: Systems and methods for user personalization and recommendation schemes that are matched to a user profile and provide a highly personalized, interactive experience for the user on an entertainment platform are disclosed. In one aspect of the invention, the highly personalized and interactive experience is facilitated through information from the user profile comprised of user-inputted information, historical data, and outputs from machine learning engines. In another aspect of the invention, the system is capable of outputting the highly-personalized and interactive recommendations onto a viewing screen while media content is continuously streaming on the same viewing screen.