Abstract: In an approach, a processor detects at least one training message delivered by a user on a social media application, the training message being accessible by an operator. A processor records training feedback performed by the operator on the social media application regarding to the at least one training message. A processor trains an analysis engine module using (i) the at least one training message as input and (ii) the training feedback as output. A processor generates a predicted feedback for a subsequent message based on the trained analysis engine module.

Abstract: Systems and methods for prefetching content items for display by applications executed on computing devices are provided. The method can include transmitting a first request for content to display within an environment of the application, the first request for content including a first parameter to be used to determine a first content item for display; storing in an associated memory element, the first parameter; transmitting a follow-on request for content including the first parameter of the first request for content; receiving a follow-on content item responsive to the follow-on request for content; storing the follow-on content item in a local cache structure specific to the application; transmitting a second request for content; retrieving, in response to the second request, the follow-on content item from the local cache structure; and displaying, in response to the second request, the follow-on content item within the environment of the application on the computing device.

Abstract: System for present content. The system includes means for receiving a set of timepoints relating to a content data and means for generating display signals based on the content data. The system also includes means for sending display signals to a display device that represent the content data and means for notifying a server over the Internet, that a timepoint among the set of timepoints has been reached in the content data. The system also includes means for receiving, from the server, via the Internet, an identification of one or more particular additional content and in response to receiving the identification of the one or more particular additional content from the server, means for interrupting presentation of the content data; and presenting the one or more particular additional content. The system further includes means for resuming, presentation of the content data after presenting the one or more particular additional content.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; for each source IP address for which requests were received over a predetermined time period from a number of Internet-enabled devices below a threshold number of devices, identifying each possible pair of devices from which requests were received; and for each possible pair of devices, calculating a probability that the pair of devices are owned or operated by a common user.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying in return path data a first group of set top boxes classified as likely to exhibit machine events in tuning data of the return path data more frequently than a second group of set top boxes represented in the return path data. Additionally, in some examples, the method includes determining whether the first group of set top boxes includes a machine event based on a pattern of the tuning data in the return path data for respective ones of the first group of set top boxes and improving an accuracy of return path data by rectifying the machine event.

Abstract: Technologies for template generation using directed acyclic word graphs (DAWGs). The technologies can include receiving a first plurality of titles from a first plurality of title feeds, and sorting the first plurality of titles into a plurality of category sets. And, for each category set of the plurality of category sets, the technologies can include transforming the respective titles belonging to the category set into a trie data structure by separating words in the respective titles into nodes of the trie data structure. For each category set, the technologies can also include transforming the trie data structure into a directed acyclic word graph (DAWG) data structure. Also, for each category set, the technologies can also include generating one or more unique templates based on the DAWG data structure.

Abstract: A digital advertising system includes at least one processor configured to execute a plurality of functional modules including an analytics module to receive and analyze client attributes associated with a website visitor and a requested website to define an analytics event. The analytics module ingests and enriches data within the analytics event and provides it to a machine learning module that generates prediction models for potential bids. A management platform receives the bidding prediction and generates candidate configs. An optimization module receives the candidate configs and applies weights and additional features to select a config and generate an optimized script for the selected config. A deployment module receives the optimized script and delivers the script to the website visitor.

Abstract: Systems and methods for providing a disposal recommendation for an owned vehicle are provided. The method includes generating a profile for the owned vehicle, the profile including age, mileage, and location of the owned vehicle, receiving monitoring data of the owned vehicle, and receiving sales data for non-owned vehicles corresponding to the profile. The method may further include generating predicted depreciation data of the owned vehicle, based on the sales data and the monitoring data, and providing a recommended disposal time for the owned vehicle, based on the predicted depreciation data.

Abstract: A method at a client device includes displaying media library information corresponding to a set of media items. The media items include one or more local media items, the one or more local media items including media items stored at the client device, and one or more remote media items, the one or more remote media items including media items stored at a remote system and not at the client device. The method also includes displaying, concurrently with displaying the media library information, affordances identifying the remote media items; detecting user interaction with an affordance identifying a respective remote media item; and in response to detecting the user interaction, initiating a process for downloading a copy of the respective remote media item to the client device for storage at the client device.

Abstract: Methods and systems for performing targeted advertising are described. Relative concentration of consumer types in the audience of particular media content is determined by measuring the coincidence of key values identifying certain consumer types, and other key values identifying audiences of particular media content, in a database.

Abstract: A method for augmenting message streams may comprise receiving a request for augmentation of a message, the request including a parameter associated with the message. The method may further include determining a rule associated with the message. The method may further include applying the determined rule to the message parameters to select an augmentation component. The method may further include transmitting an augmented message to the requestor, the augmented message including the augmentation component.

Abstract: The present teaching relates to obtaining a model for identifying content matching a query. Training data are received which include queries, advertisements, and hyperlinks. A plurality of subwords are identified from each of the queries and a plurality of input vectors for the plurality of subwords of each of the queries are obtained and an input vector for each of the queries is derived based on a plurality of input vectors of a plurality of subwords of the query. A query/ads model is optimized with respect to an objective function via training an input vector for each of the plurality of subwords associated with each of the queries, an input vector for each of the advertisements and links, and a matrix.

Abstract: The present disclosure discloses a method and apparatus for processing information. A specific embodiment of the method comprises: acquiring a target behavior information set; selecting, from at least two unique identity identifiers corresponding to at least two groups of identity identifiers, a unique identity identifier as a target unique identity identifier, based on at least one kind of specified user attribute information; and associating, for each target unique identity identifier of the selected target unique identity identifier, behavior information associated with identity identifiers corresponding to the target unique identity identifier with the target unique identity identifier, to obtain behavior information associated with the target unique identity identifier. According to the embodiment of the present disclosure, various kinds of behavior information of a user are associated with the target unique identity identifier, to facilitate utilization and analysis for the behavior information.

Abstract: An electronic device and method for replacing and outputting an advertisement are provided. The electronic device includes: a memory storing at least one program; a communication unit configured to receive context data to be used to determine a state of a user, from at least one external device; and a processor configured to replace and output an advertisement by executing the at least one program, wherein the at least one program includes instructions to: acquire user state information indicating the state of the user from the received context data, based on a learning model using one or more neural networks; and perform control to replace a previously determined first advertisement with a second advertisement determined based on the user state information and to output the second advertisement.

Abstract: Methods and apparatus for determining a unique audience exposed to media while reducing memory resources of a computing device are disclosed herein. An example apparatus includes means for logging a plurality of impressions based on impression requests from a plurality of client devices, the plurality of impressions corresponding to media accessed at the client devices; means for obtaining counts, the obtaining means to: obtain a count of demographic impressions logged by a database proprietor; and obtain a count of registered users of the database proprietor exposed to the media; and means for determining a unique audience size by: multiplying a count of the plurality of impressions by a square of the count of the registered users to generate a product; dividing the product by the count of the demographic impressions to generate a quotient; and determining the unique audience size based on a square root of the quotient.

Abstract: Improved identification of a computer configured with an operating system (OS), a web browser and one or more applications is disclosed. An identifying code for advertisers (IFA) may be obtained via the operating system (OS) of the computer. A first application configuring the computer may include instructions to initiate an ad call comprising a request including the IFA to cause the first application to render an advertisement received by the computing device from a first web resource in response to the ad call. The web browser may execute the script to configure the web browser with a durable id (DID). The web browser may also communicate the DID to associate the IFA with the computing device.

Abstract: An information processing apparatus, an information processing system, and an information processing method. The information processing apparatus detects a user, acquires schedule information of the user based on the detected user, and suggests one or more shared sites to use according to the schedule information.

Abstract: A system and method for inferring service opportunities are provided. In example embodiments, a member event associated with a particular member of a social networking service is detected. In response to detecting the member event, a service request for a particular service is inferred based on the member event. A provider member capable of fulfilling the inferred service request is identified among members of the social networking service. A match score for each of the identified provider members is calculated. The identified provider members are ranked according to the calculated match score. At least a portion of the ranked identified provider members are presented on a user interface.

Abstract: Provided are an information processing device, an information processing method, and an information processing program capable of determining advertisements according to the intention of a person registering an article as advertisements to be displayed on a page supplied from a web site. The information processing device specifies a commodity classification of a commodity and an attribute value of an attribute of a commodity belonging to the commodity classification, based on an article described on a web page, and decides an evaluation made by a page supervisor for the attribute value based on the article. Then, the information processing device selects commodities that belong to the specified commodity classification and satisfy a selection condition according to the decided evaluation, as display target candidates. From among the selected commodities, a commodity of which an advertisement is to be displayed in an advertisement display area of the web page is determined.

Abstract: A method for providing a social network service in a service server, which includes: receiving a first keyword from a first terminal of a first member of members of the service server; generating a network related to the first keyword, wherein the network includes an online community; and transmitting a first message inviting to join the network to at least a second member of the members of the service server when a second keyword that is identical or analogous to the first keyword is received from a second terminal of the second member.

Abstract: A first device captures an image of an item and provides the image depicting the item and a textual descriptor to a host machine. The host machine receives the image of the item and provides the image and textual descriptor to a second device. The second device initially presents the image as a listing of the item. The second device presents the textual descriptor and an option to initiate a communication to a first user associated with the first device upon request by a second user of the second client device.

Abstract: Disclosed herein is novel system and method for connecting an NFT digital asset collection for secure display on a feature-rich video display system commensurate with the quality and value of the NFT assets. An exemplary embodiment comprises a system involving a software application that registers one or more secure video displays, accesses by way of owner authorization an NFT digital asset collection or archive, and facilitates displaying the assets on a feature-rich high quality display system.

Abstract: A facility for generating advertising messages is described. The facility receives a feed containing information describing each of a plurality of textual advertising messages. For each of the textual advertising messages described by the information contained by the received feed, irrespective of any user input, the facility identifies a web page associated with the textual advertising message; extracts visual content from the identified web page; and constructs an advertising message that contains the extracted visual content.

Abstract: Systems and methods are described herein for a media guidance application to determine that a user has switched away from a source transmitting a media asset with which the user was engaged and detect, while the user is switched away from the source, that secondary content transmitted by the source during a break of playback of the media asset relates to the media asset. In response to detecting that the secondary content relates to the media asset, the media guidance application may access a database to determine whether the secondary content specifically corresponds to the media asset, and, in response to determining that the secondary content specifically corresponds to the media asset, the media guidance application may generate for display the secondary content to the user.

Abstract: Embodiments of the present application relate to a method, apparatus, and system for service processing. The method includes, in response to receiving a startup command for a target application, obtaining texture data corresponding to a target service of the target application, the texture data being obtained from service content that is stored locally on a terminal before the startup command is received, the texture data conforming to a preset texture format, obtaining display content corresponding to the target service based at least in part on the texture data, and providing the display content corresponding to the target service on the terminal.

Abstract: A personalized HRTF is generated from a generic HRTF by having a person don headphones, then select a generic HRTF model from a list. Test signals emulating sounds from a source at a specific virtual speaker location are played on the headphones, and the person indicates where he thinks the emulated sounds are coming from. Any difference between the virtual speaker location and the “heard” location is used to adjust the parameters (amplitude, phase, and frequency response) of the generic HRTF to render a HRTF personalized to the listening person.

Abstract: A method for controlling display of a terminal, an electronic device and a non-transitory computer readable storage medium are provided. The method includes the following. A target object is determined in a first display scenario, where the first display scenario contains display content of at least two objects. The number of times display content of a first object being prevented from being displayed in a predetermined period is obtained. If the number of times reaches a preset threshold corresponding to the first display scenario, the display of the display content of the first object is blocked in the first display scenario.

Abstract: An apparatus and method for A/B testing including a storage device storing a set of data, an input device receiving input from a sensor according to a review of composed set of data, a processor receiving an input signal from the input device, the input signal including a plurality of criteria noted according to a time of the composed set of data, the processor processing the first set of data according to a feedback of the input signal. The processor analyzes the input signal and extracts the plurality of criteria from the input signal as extracted information.

Abstract: A collection management system presents, as part of a content discovery session, a first content item from a content discovery collection that includes a plurality of content items that are ordered sequentially for presentation. In response to receiving an advancement input, the collection management system determines whether a number of content items presented as part of the content discovery session meets or exceeds a threshold number of content items, and whether an amount of elapsed time of the content discovery session meets or exceeds a threshold amount of time. The collection management system presents a first alternate content item as part of the content discover session. The first alternate content item is not included in the content discovery collection. After presenting the first alternate content item, the collection management system presents a second content item from the content discover collection that is ordered after the first content item.

Abstract: A travel or a promotion based recommendation is provided in association with a social graph of a recipient of a communication. A communication service initiates operations to provide the travel or promotion based recommendation by processing a content of a communication to identify a travel plan of a recipient or a promotion directed to a recipient. A detected shared attribute between the travel plan of the recipient and the travel plan of the acquaintance is assigned a relevancy score. The promotion is processed to determine a trend of the promotion with an acquaintance at a social networking site and an accuracy of the promotion. The shared attribute or the promotion is provided to the recipient.

Abstract: A method and system may use photo deformation techniques for vehicle repair analysis to determine a repair time for repairing a damaged vehicle part. A user's client device may generate a three-dimensional (3D) image or model of a damaged vehicle part by capturing several two-dimensional images of the damaged vehicle part. One or several characteristics of the damaged vehicle part may be extracted from the 3D model and the characteristics may be compared to characteristics for previously damaged vehicle part, where the actual repair times were measured. A repair time for the damaged vehicle part may be determined based on the comparison and displayed on the client device.

Abstract: A method includes receiving first event data from a device, the first event data including a first identifier (ID) that identifies the device, web browser metadata, and data associated with an application state. The method includes generating a first persona including the first ID and a first event identifier that identifies a first user action. The method includes receiving second event data, the second event data including device metadata and a second ID that identifies the device. The method includes generating a second persona based on the second event data, the second persona including the second ID and a second event identifier that identifies a second user action. Additionally, the method includes determining that the first and second personas are associated with the device based on matches between the browser metadata and device metadata and transmitting a response to the device configured to route the device to the application state.

Abstract: In an embodiment, a system server receives, from a plurality of advertiser devices, a plurality of advertisements, at least one corresponding personal information value, and a corresponding price. The system server calculates, for each of a plurality of personal information types, a corresponding price. The system server sends, to a first message account, a plurality of messages, in which each message includes a respective advertisement of the subset of advertisements. Then the system server instructs a message device to output an indication of, for each of a plurality of types of personal information, whether a corresponding personal information value has been released.

Abstract: System and methods are described to determining a recommendation for a user based on changes in objects detected on a network-connected surface. The system receives, from the network-connected surface, a plurality of object identifiers for a plurality of physically inanimate objects of different types detected on the network-connected surface, wherein the object identifiers indicate a positioning of each object; determines, based on the object identifiers, a first arrangement of the plurality of physically inanimate objects; detects one or more changes in the plurality of object identifiers, wherein the one or more changes correspond to one or more changes in positioning from the first arrangement; in response to detecting the one or more changes, determines a second arrangement of the plurality of physically inanimate objects; and generates a content recommendation based on the second arrangement.

Abstract: An apparatus, method, and computer program product are provided to predict and model the performance of option data objects prior to the introduction of such option data objects into a network environment through the application of specific rule sets that are applied in a multi-stage arrangement on sets of extracted option data object parameters. In some example implementations, option data object parameters are extracted and parsed into sets of categorical and non-categorical parameters, which may be both quantitative and qualitative, and transmitted to one or more predictive models. Through the operation of the predictive models, the option data object parameters are transformed into a weighted value associated with the option data object that reflects a predicted performance level of the option data object and can be used when comparing multiple option data objects against each other.

Abstract: A method, system, and computer program product for contextual generation of an ephemeral network are provided. The method detects an initiating event for network generation associated with a user of a first computing device. The method determines a duration of the initiating event. A set of network members is determined based on the initiating event and the duration. The method establishes an ephemeral network, connecting at least a portion of computing devices associated with the set of network members. The ephemeral network is terminated in response to detecting a completion event. In response to terminating the ephemeral network, member information for the set of network members is removed from the portion of the computing devices.

Abstract: In certain embodiments, reference identifiers may be generated and embedded into a website's content. A request for a reference identifier to be embedded into first content on a first website may be obtained based on a user accessing the first website. Based on the request, interaction data related to the first website may be retrieved indicating that a prior user interacted with text on the first website and subsequently accessed a second website. A reference identifier related to the second website may be caused to be embedded into the text on the first website based on: (i) the second website comprising second content related to the text, (ii) the prior user interacting with the text on the first website, and (iii) the prior user accessing the second website after interacting with the first content on the first website.

Abstract: A database system performs lookalike analysis on a data set including a plurality of user identifiers, which are associated with one or more attribute records. The database system classifies the user identifiers into one or more segments of user identifiers based on the attribute records. The database system performs Linear Discriminant Analysis (LDA) to calculate a measure of importance of the attribute records relative to the one or more segments. The database system auto-correlates the attribute records based on the numbers of attribute records in the user identifier population and the one or more segments. The database system identifies a set of user identifiers relative to one or more segments using the measures of importance and the auto-correlated parameters.

Abstract: A method of classifying an interaction captured in a sequence of video. A plurality of people in the video sequence is identified. An action of a first one of the people at a first time is determined. An action of a second one of the people at a second time is determined, the action of the second person being after the action of the first person. A role for the second person at the second time is determined, the role being independent of the determined actions of the first and second person. An interaction between the first person and the second person is classified based on the determined role of the second person and the determined actions of the first and second person.

Abstract: The present invention provides a method and device for comparing similarities of high dimensional features of images, capable of improving the retrieval speed and retrieval precision in a similarity retrieval from massive images based on Locality Sensitive HASH (LSH) code. The method for comparing similarities of high dimensional features of images according to the present invention comprises: reducing dimensions of extracted eigenvectors of the images by the LSH algorithm to obtain low dimensional eigenvectors; averagely segmenting the low dimensional eigenvectors and establishing a segment index table; retrieving the segmented low dimensional eigenvector of a queried image from the segment index table to obtain a candidate sample set; and performing a similarity metric between a sample in the candidate sample set and the low dimensional eigenvector of the queried image.

Abstract: Consumer appliances and methods for their use are generally provided herein. A method may include receiving an incentivized media file, and presenting the incentivized media file on a consumer appliance. The method may also include generating a discrete block of a blockchain in response to presenting the incentivized media file, and transmitting the discrete block to a blockchain network wirelessly connected to the consumer appliance.

Abstract: One or more keywords and/or information about one or more properties may be accepted, and a set of one or more taxonomy categories may be determined using at least some of the keyword(s) and/or property information and perhaps term co-occurrence clusters. The determined taxonomy categories may be presented to an advertising user as an ad targeting suggestion. Each taxonomy category may have at least one associated property (e.g., Web document), that participates in an advertising network. An advertiser selection of a suggested taxonomy category may be accepted, and the serving of an ad of the advertiser may be targeted to each property associated with the selected suggested taxonomy category. Alternatively, such properties may be presented to an advertising user as an ad targeting suggestion.

Abstract: Techniques for improving dynamic content retrieval are described. In an example, a computer system may receive, from a content provider device, an intent description associated with providing content at a network resource. The computer system may determine a goal and a predicate based on the intent description and may select a workflow from a plurality of workflows based on the goal and the predicate. The workflow may be associated with determining a context of a network document based on historical behavior data of visitors to the network resource and on a taxonomy of the network resource. The computer system may determine the context based on an execution of the workflow, the historical behavior data, and the taxonomy. The computer system may store an association between the context and the content. The association may be usable to select the content for presentation in a network document of the network resource.

Abstract: Provided are a computer program product, system, and method for adding conversation context from detected audio to contact records. An audio stream is received through a microphone of a personal computing device. Context analysis is performed of the audio stream to detect conversation context in the audio stream. A request is received to associate the conversation context with a selected contact person. A determination is made of conversation context detected from a segment of the audio stream received during a period of time from when the request was received. The conversation context determined for the period of time is included in a contact record for the selected contact person. The contact record is stored in a contact database including a plurality of contact records for a plurality of contact persons, wherein the contact records include conversation context and location information associated with the contact persons.

Abstract: Logic may detect a malfunctioning payment interface on a customer's payment instrument. Logic may receive transaction data about at least one transaction performed via a payment instrument associated with a customer. The transaction data may indicate a payment interface of the payment instrument through which the customer conducted the at least one transaction and the payment instrument may comprise one or more payment interfaces. Logic may determine, by a model, based on the transaction data, a probability of a malfunction by at least one interface of the one or more payment interfaces. The model may be trained based on a pattern of transactions associated with malfunctioning payment instruments. Logic may compare the probability of the transaction against a threshold. And logic may determine whether to contact a customer associated with the payment instrument, based comparison of the probability of the transaction against the threshold.

Abstract: Computer-implemented systems and methods are disclosed to interface with one or more storage devices storing a plurality of documents, wherein each of the plurality of documents is associated with one or more tags of one or more predefined hierarchies of tags, wherein the one or more hierarchies of tags include multiple dimensions. In accordance with some embodiments, a method is provided to identify one or more documents from the data storage devices. The method comprises acquiring, via an interface, a selection of one or more tags of the one or more predefined hierarchies of tags. The method further comprises identifying one or more documents from the data storage devices in response to the selection, the identified one or more documents having tags that have a relationship with the selected tags, and providing data corresponding to the identified documents for displaying in the interface.

Abstract: An embodiment of the present invention, a computer receives, on a first computer, a request to locate a topic. The computer determines a second computer to query for the topic. The computer queries the second computer for the topic. The computer receives identification information of participants of an instant messaging conversation corresponding to the topic. The computer stores, on the first computer, the identification information of the participants and indexing the stored identification information by the topic.

Abstract: Systems and techniques for delivery of contextual interest from interaction information are described that process user interactions with digital content to generate user interest scores for various topics. A contextual user interest system uses user interaction data to identify and contextualize content, and assigns propensity scores to the contextualized content. By dynamically contextualizing pages of content, the contextual user interest system may adapt to changes in the content and provide more accurate and robust information over time, which is not possible using conventional techniques. The contextualized pages of content are used to assign user interest scores across a number of topics to users who have visited the pages of content, and the user interest scores are normalized in a manner that allows a user's degree of interest in a topic to be compared to that of another user.

Abstract: The present invention relates to a method for making a profit using an individual shop.

Abstract: The present invention relates to a method for on-demand beauty services that (1) considers the time and expense of the stylist traveling to meet the customer at her present location or another location, (2) provides a specific recommendation based on the user's requirements and schedules, the stylist's skills, and availability, and (3) provides the necessary other steps of the transaction, such as scheduling the appointment, handling the billing, resolving disputes, and integrating reviews back into the model. The present invention interprets the customer's location from either the customer's input or the GPS on the customer's smart phone to determine the location for the services. The stylist's location may also be determined based on the stylist's inputted location or the GPS on the smart phone of the stylist. The distance between the customer and the stylist is determined by receiving the GPS location from the smart phones of the customer and the stylist and interpreting this data.