Abstract: There is provided systems and method for offline ecommerce purchases using an item catalog for a user. A user may receive a catalog of items from a server, such as a merchant server and/or payment provider server, at a user device while the user device is connected to a network. The catalog of items may be transmitted to the user prior to the user entering an offline mode with the user device, where the user device is no longer connected to the network. While the user device operates in the offline mode, the user may browse the catalog and select items to purchase. On a future connection to the network, the user device may transmit a purchase request for the selected items to the merchant server and/or payment provider server.

Abstract: Methods and systems allow organizations to discover accounts, subscriptions, properties, sites and other online portals within each distinct social network platform and across disparate social network platforms, publishing platforms and networks that represent, claim to represent or are relevant to their organization and/or brands based on search terms and facilitate the statistical reporting and analysis of activities on the discovered properties.

Abstract: A computer-implemented method performed by a computing system includes gathering payment history data for a payment account, held by a customer with an accounts provider, by at least one of data mining the payment history data from a database associated with the accounts provider or screen scraping the payment history data, wherein the payment account is associated with payment information. The method also includes identifying a subset of the payment history data that relates to online payments, analyzing the subset of the payment history data to identify characteristics of the online payments made from the payment account, and, based on the characteristics, determining one or more third parties that are likely storing the payment information. The method further includes displaying a list of the one or more third parties to the customer.

Abstract: The disclosure below describes a knowledge pattern machine that goes beyond and is distinct from a traditional search engine as simple information aggregator. Rather than acting as a search engine of the data itself, the knowledge pattern machine use variously layers of artificial intelligence to discover correlations within the queries and historical data, and to derive and recognize data patterns based on user queries for predictively generating new knowledge items or reports that are of interest to the user. Previous patterns and knowledge items or reports are accumulated and incorporated in identification of new data patterns and new predictive knowledge items or reports in response to future user queries, thus providing a stateful machine. The predictive knowledge items are updated in real-time without user interference as the underlying data sources evolve overtime.

Abstract: Real-time speech analytics (RTSA) provides maintaining real-time speech conditions, rules, and triggers, and real-time actions and alerts to take. A call between a user and an agent is received at an agent computing device. The call is monitored to detect in the call one of the real-time speech conditions, rules, and triggers. Based on the detection, at least one real-time action and/or alert is initiated.

Abstract: A computer-implemented method for detecting oligopoly in a data processing system, the method comprising: pretending to be a first competing AI pricing engine for a business provider; querying, by a second competing AI pricing engine, the first competing AI pricing engine for a first price; providing, by the first competing AI pricing engine, a plurality of first prices to the second competing AI pricing engine; querying, by the first competing AI pricing engine, the second competing AI pricing engine for a second price; providing, by the second competing AI pricing engine, a plurality of second prices to the second competing AI pricing engine; identifying, by the processor, a correlation between the plurality of first prices and the plurality of second prices using a machine learning technique; and flagging, by the processor, the second competing AI pricing engine, as a possible oligopoly participant.

Abstract: Examples of prospect recommendation including a prospect recommendation system are provided. The system may receive a prospect assessment query. The system may receive and sort prospect data, sales attribute data, and product data by applying an artificial intelligence component. The system may determine a prospect matrix by correlating the prospect data with the product data. The system may determine a prospect profile by collating historical prospect data and the product data. The system may determine a prospect assessment matrix by correlating the prospect matrix and the prospect profile. The system may determine a decisional pathway based on a comparison between the prospect profile and the prospect assessment matrix. The decisional pathway may include a plurality of assessment interpretations. The system may determine a prospect recommendation index based on the decisional pathway.

Abstract: A set of documents is received for processing and extraction. A set of processing engines is received, and each processing engine has an expected benefit when processing a document with associated document metadata. The set of documents is analyzed to determine document metadata to be associated with the document. An expected benefit is determined for each of the documents of the set of document when the respective document is processed by a respective processing engine in the set processing engines. An expected cost for processing is determined for each of the documents in each of the set of processing engines. A processing plan for the set of documents is determined wherein the processing plan identifies a selection of documents to be run in respective processing engines of the set of processing engines based on a cost versus benefit analysis. The processing plan is executed extracting information from the identified selection of documents.

Abstract: According to some embodiments, an existing risk relationship data store may contain electronic records, each electronic record including a risk relationship identifier and a risk relationship characteristic for an existing risk relationship between the enterprise and an entity. A prediction platform may receive electronic records associated with a set of existing risk relationships along with an indication of a future adjustment to a parameter associated with the set of existing risk relationships. The prediction platform may then automatically calculate a projected future impact to a key metric for the set of existing risk relationships based on the future adjustment to the parameter. A rendering platform may receive the projected future impact to the key metric and present an interactive graphical user interface, including an indication of projected future impact, to an administrator.

Abstract: The present application provides a method and a device for displaying an anchor competition process. A network device obtains information on user support respectively won by at least two anchors during the competition in real time, wherein the at least two anchors participate in the same anchor competition and are displayed in a same live window; adjusts the display of the anchor competition for the at least two anchors in the live window according to the information on user support respectively won by the at least two anchors; sends the adjusted display of the anchor competition to user equipments displaying the competition between the at least two anchors, or presents the adjusted display of the anchor competition to users who are watching the competition between the at least two anchors. The present application facilitates users to obtain competition information intuitively, improve efficiency of users in obtaining information, and enhance user experience.

Abstract: A method for dynamically processing and playing multimedia contents and a multimedia play apparatus are provided. A topic map is generated based on a title. The topic map has a plurality of nodes, and each node corresponds to one of the multimedia contents. Multiple node groups are obtained through permutation and combination of these nodes. A target group that matches a constraint is found among these node groups. A play order of each node in the target group is determined according to at least one reward table. One or more multimedia contents included in the target group are processed and played according to the play order.

Abstract: The present technique discloses a method and system for creating target entity profile. Data related to target entity are collected from various sources. User configures, through genome management console of genome query engine, gene block—dimension matrix which defines relationship between gene blocks and dimensions present in the collected data. Based on gene block—dimension matrix, gene blocks are loaded. User further configures genome attributes of their choice for which data needs to be analyzed. Data corresponding to configured genome attributes are extracted from gene blocks and from these extracted data, genome attributes are calculated based on computation type.

Abstract: Systems and methods record tracking events during a presentation of supplementary content items to determine whether viewer(s) stopped watching the supplementary content item or watched the supplementary content item in its entirety. This determination may provide value to content publishers or (multi video programming distributors (MVPDs)) through preventing such supplementary content items from showing, whether in certain contexts, to certain viewers, and/or to certain audience segments. In some instances, the systems and methods may utilize machine-learning model(s) to determine which combinations of supplementary content items, contextual signals, viewers, and/or audience segments are likely to abandonment a supplementary content item. Preventing these combinations from showing, improves viewer experiences, permits MVPDs to effectively utilize opportunities for presenting supplementary content to viewers, in order to maximize revenue yield paid by supplementary content providers (e.g.

Abstract: Methods and systems may provide for technology to generate a plurality of predictions associated with a test period based on an analytics model and generate an error model of the plurality of predictions based on first non-parametric time series data associated with the test period, wherein the error model is to be generated independently of the analytics model. Additionally, the technology may automatically determine an interval based on the error model, the first non-parametric time series data and a margin of error input, wherein the interval is to include an upper bound on a scale associated with the first non-parametric time series data at a time instance in a forecast period and a lower bound on the scale at the time instance.

Abstract: A digital content communication system for account management and predictive analytics may be provided. The system may include an analytics system that communicates with one or more servers and one or more data stores to provide digital content management in a network.

Abstract: Techniques for exchanging data segments between data aggregators and data consumers. In an embodiment, a value of an arbitrary data segment selected by a data consumer is computed. In particular, an individual user value is calculated for each user represented in the data segment, wherein the individual user value is a weighted sum (or other function) of the one or more features of the data segment attributable to that user, plus an additive gaussian noise. The overall value of the data segment is the sum of the individual user values. An offer price for the data segment can then be calculated using the overall value. Once a request is received from the consumer to purchase the data segment at the offer price, the data segment can be exchanged between the aggregator and consumer. Thus, a data marketplace or platform for the exchange of data segments is enabled.

Abstract: The present invention is a method and system for capturing a dataset over time that represents the response of shoppers to a set of marketing and merchandising stimuli or “elements”. The response includes exposure metrics, engagement metrics and conversion metrics for different shopper segments. The shopper segments may be defined by demographics such as gender, age and ethnicity or by the type of trip, such as a quick trip or a fill-up trip. The system comprises a plurality of means for capturing images, such as cameras, covering the area of interest in the vicinity of the marketing or merchandising element. The method comprises automated and semi-automated analysis of the video to extract the shopper behavior and demographics data for computing the defined metrics. The captured data can be further combined with information such a promotions and advertisement outside the store to further enhance the applications of the data collected in-store from the invention.

Abstract: A method comprising receiving rebate offer information, receiving information of a project plan of a first project, wherein the project plan includes a listing of all floor plans in the first project, receiving a selection of standard installed products for each floor plan in the first project, automatically generating a standard installed products layer based on at least the information contained in the project plan and the selection of standard installed products for each floor plan, wherein the standard installed products layer sets forth each product of the one or more products included in each floor plan in the first project and a corresponding quantity for each of the one or more products, and automatically determining whether the criteria of the first rebate is satisfied based on at least the rebate offer, the standard installed products layer and the project plan is shown.

Abstract: The described technology is generally directed towards quasi-listing table entries that facilitate the efficient return of an object list in response to a query for relevant objects in a data storage system. A quasi-listing table entry is created when an object is created, and subsequently converted to a normal listing table entry. A normal listing table entry is converted to a quasi-listing table entry when an object is deleted, with the quasi-listing table entry subsequently deleted. When an object list request is received, a normal listing table entry can be used directly to add to the object list; only if a quasi-listing table entry is encountered (before it can be converted or deleted) does the object table need to be accessed to determine if the object actually exists. This eliminates most object table accesses, including those in remote geographic zones, thereby making object listing significantly more efficient.

Abstract: A method is disclosed, comprising: aggregating a plurality of sets of transactions, each set of transactions comprising transactions related to an account-merchant pairing; determining variables characterizing a recurrence period based on transaction dates of the transactions in the each set; predicting the recurrence period for a transaction related to the account-merchant pairing for each customer of the plurality of customers; aggregating another set of transactions between the plurality of customers and the merchant; evaluating a distribution of the recurrence period for each customer within range of a distant point; and based on the evaluation of the distribution of the recurrence period for each customer, generating a probability of the merchant having a recurrent transaction with the customer. The account-merchant pairing may comprise a customer account and a merchant of a plurality of customers and merchants.

Abstract: A service model-oriented software system and an operation method of the present invention take a service module object as a basic component to drive the software system to run; support componentized software running and development, provide loose coupling, good openness and high security and is easy to be expanded. The software system includes a server-sided system architecture and a client-sided system architecture; the server-sided system architecture includes a service model factory component, a service model control engine and an activity service model component; the client-sided system architecture includes a client-sided control engine, a data object agent component and a view component. The software system and the operation method thereof lay a solid foundation for the development of the service-oriented software technology, provide solutions for the development of the computer software system in the cloud environment, and open new ideas and methods for the development and application of the software.

Abstract: Methods and systems for facilitating a digital wallet transaction are described herein. A service provider identifies and recommends the most applicable digital wallets for a user based on various factors, such as user location, type and amount of purchase, type of merchant, and/or mood of the user. The service provider may also rank the recommended digital wallets and/or determine how many should be presented to a user. During merchant checkout, the user is presented with the recommended digital wallets, and the user selects one of the digital wallets to fund the purchase.

Abstract: A method, apparatus, and computer program product are disclosed to improve the process of generating promotions. The method includes identifying a promotion structure for approval, the promotion structure defining a promotion to be displayed via a promotion and marketing service and determining whether the promotion structure satisfies automatic approval requirements, the automatic approval requirements including one or more parameters relating to the promotion structure. The method further includes in an instance in which the promotion structure satisfies the automatic approval requirements, automatically approving the promotion structure for display via the promotion and marketing service, and in an instance in which the promotion structure does not satisfy the automatic approval requirements, indicating that the promotion structure cannot be automatically approved. A corresponding apparatus and computer program product are also provided.

Abstract: Extracting and sharing user preference information includes receiving a call from a user device, retrieving user information from a user account stored in a user databank in response to receiving the call, executing a data backup operation to share the user account information with at least one established account partner remotely via a secure communication channel, wherein executing the data backup operation comprises transmitting the user account information to a remote databank of the at least one established account partner over the secure communication channel.

Abstract: Non-abstract devices, systems, and processes for the display and furnishing of tangible benefits in order to permit entities to more effectively make use of targeted benefits from a plurality of benefit providers; where; in preferred embodiments; the benefits are offered to those entities meeting the specified qualifications and eligibility requirements as established by the benefit providers.

Abstract: A substrate production control system includes production start timing obtaining section configured to obtain information of production start timing on substrate production lines, setup time estimation section configured to estimate setup times required for a setup work of setting up the substrate production line, setup start timing determination section configured to determine setup start timing of starting the setup work based on the production start timing and the setup time, delivery time estimation section configured to estimate delivery time required for a delivery work of receiving a member necessary for production of the substrate from member warehouse and conveying the member to at least one of an execution location (external setup area) of the setup work and the substrate production line, and delivery start timing determination section configured to determine delivery start timing of starting the delivery work based on the setup start timing and the delivery time.

Abstract: Methods and systems herein may help to provide an advertisement marketplace for advertisements that are valued according to gaze data from wearable computing devices.

Abstract: A method for detecting objects in traffic flow includes identifying a location of a first camera and a second camera. The method includes determining a traffic flow direction. The method includes receiving a first image set captured by the first camera and a second image set captured by the second camera. The method includes identifying an object of a first object type in the first image set based on the location of the first camera and the traffic flow direction. The method includes identifying an object of a second object type in the second image set based on the location of the second camera and the traffic flow direction. The method includes recording the object of the first object type as a single incremented count in a first object type queue and the object of the second object type as a single incremented count in a second object type queue.

Abstract: A computing system generates recommendations for users within the context of a network service. To account for objectives of various users associated with the network service, some of which may not reach optimality at the same time, the computing system generates values associated with each of the objectives separately. For example, for each objective, the system may train a computer model to produce a representative value. To generate a recommendation of an entity for a user, the system uses the generated objective values as inputs to an optimization algorithm. The optimization step may use linear programming or quadratic programming to generate a recommendation score, for example. This two-step process allows the system to account for multiple objectives and makes the system easily adaptable to change when the set of objectives is updated.

Abstract: Successful application of a coupon code on an e-commerce website is detected via network request tracking and page data tracking. Upon coupon application, the coupon code is stored, for example in a server-based database. The coupon code is then automatically applied to subsequent e-commerce purchases whose parameters match the requirements for the coupon. The coupon can be automatically applied to purchases made by the same user and/or other users, as applicable.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may receive digital data associated with digital media communications. The apparatus may input the textual data into a NLP model. The apparatus may obtain intent data associated with an item as an output of the NLP model. The apparatus may input the intent data into a tagging model. The apparatus may obtain an attribute tag as an output of the tagging model. The apparatus may determine whether the intent data meets a likelihood threshold. The apparatus may determine whether the attribute tag meet a relevance threshold. The apparatus may output the intent data and the attribute tag to an external device upon determining that the intent data meets the likelihood threshold and that the attribute tag meets the relevance threshold.

Abstract: Devices and methods are provided for used segmented impact analysis to determine high-valued computer-based actions. The device may determine a first user account associated with performance of a first computer-based action and a second computer-based action associated with a network-accessible resource. The device may determine a second user account associated with performance of the first computer-based action, but not with the second computer-based action. The device may determine a first value for the first user account, the first value based on the performance of the second computer-based action. The device may determine a second value for the second user account, the second value based on the failure to perform the second computer-based action. The device may determine a third value, wherein the third value is a difference between the first value and the second value. The device may send the third value with a product recommendation.

Abstract: The present disclosure is directed to systems and methods of configuring a resource for network traffic analysis. An agent executed by a computing device receives an indication to record a browsing session. The agent records network activity data of the browsing session. The agent generates a data file with the recording. The agent transmits the data file and a request to generate a report to an analytics server. The analytics server receives the request and extracts the network activity data from the data file. The analytics server applies an event processing protocol to the network activity data. The analytics server generates a report and transmits the report to the client device for display.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: A method, apparatus, and computer program product are disclosed to improve generation of fine print for promotions. The method includes receiving identifying information that identifies one or more locations and either a product or service, transmitting the identifying information, and receiving, based on the identifying information, information including a set of relevant fine print clause data structures. The method further includes displaying, by a user interface, one or more fine print clauses from the relevant fine print clause data structures and generating, using a processor, a configured fine print data structure based on the displayed fine print clauses and input received via the user interface. Finally, the method includes transmitting the configured fine print data structure. A corresponding apparatus and computer program product are also provided.

Abstract: Embodiments of the present disclosure are directed to systems and methods where an enrollment team is trained to get the customer set up on the systems, a second welcome call is placed within a predetermined amount of time to the customer to further solidify the deal, using social media groups that require customers to “check in” to encourage customers to participate in the groups, using purposeful placement of key information and announcements in the groups, welcoming new members to the group and providing strategies to encourage and lift up those customers are participating the most and live streams are hosted directly within the groups and posting the livestream schedule in the groups.

Abstract: Systems and methods are provided for use in imposing chargeback probability scores on network transactions. One exemplary method includes obtaining at least one transaction detail of a network transaction between a consumer and a merchant. A computing device determines a chargeback probability score for the network transaction based, at least in part, on the at least one transaction detail. Chargeback data is transmitted to an entity associated with the network transaction, where the chargeback data includes at least one of (a) the chargeback probability score and (b) an indicator that the chargeback probability score fails to satisfy one or more thresholds, thereby permitting the entity to hold and/or decline the network transaction when the chargeback probability score fails to satisfy one or more thresholds.

Abstract: In an embodiment, one or more ad data sets are received at a first processor. The ad data sets may be partially encoded or encrypted to prevent the processor from viewing certain visitor information. The ad data sets are merged together around common users or order IDs. An attribution credit is applied to each advertising event, creating an attribution data set. The data in the attribution data set is aggregated according to each advertising event, and based on the aggregated results, an advertising recommendation is calculated and sent to the advertising entity.

Abstract: Systems and methods are provided for evaluating aggregate merchant sets, which are often generated by a payment network. One exemplary method includes accessing, by a computing device, a monitor score and a volatility score for an aggregate merchant set representative of multiple merchants having at least one disparate parameter in a transaction data structure, fuzzy sets for the monitor score and the volatility score comprising linguistic values, and inference rules that use the linguistic values in logical operations. The method also generally includes determining degrees of membership of the monitor score and volatility score to the associated fuzzy sets and generating an evaluation index based on the inference rules and the degrees of membership to the fuzzy sets, thereby providing an indication of a propriety of the aggregation of said multiple merchants.

Abstract: A method and system are provided. The method includes generating, by a machine-based sentiment prediction generator, respective machine-determined sentiment predictions for each of a plurality of software patches using sentiment analysis. The method further includes setting, by a sentiment-based confidence value generator, a confidence value for each of the plurality of software patches based on the machine-determined sentiment predictions. The method also includes at least one of selecting and prioritizing, by a software patch selector and prioritizer, at least one of the plurality of software patches based on the respective confidence value therefor.

Abstract: Techniques are disclosed herein for managing and sharing credentials, such as passwords for wireless access points using blockchain technology. In certain embodiments, a transaction may be generated using information and a set of conditions. A requester user device seeking access to a wireless access point may request the password from the blockchain fabric using a unique identifier for the wireless access point and may satisfy other conditions from the set of conditions which determines access to the password by the requester.

Abstract: Detecting trends is provided. The method comprises receiving, from a number of data sources, data regarding choices of people at a number of specified events and public places and determining, according to a number of clustering algorithms, trend clusters according to data received from the data sources cross-referenced to defined event types and place types. Customer profile data and preferences are received from a number of registered customers through user interfaces, and a number of customer clusters according to the customer profile data and preferences are determined according to clustering algorithms. Correlation rules are calculated between the trend clusters and the customer clusters. A number of trend predictions and recommendations are then sent to a user regarding a number of specified events or time frames according to the correlation rules.

Abstract: Methods and systems are described that detail the rapid validation of scientific products and scientist consumer information derived from multiple science/research based sources, such as peer-reviewed scientific publications and online resources, for example, as well as any other available tasked forum or venue. The refined information will facilitate unique product evaluation opportunities via an accessible website/forum, trade shows, etc., and provide previously unknowable sales leads, market intelligence, and targeted advertising opportunities for product manufacturers.

Abstract: Embodiments described herein are directed to computer-implemented methods, systems, and computer program products for calculating a metric using natural language processing tokens. A non-limiting example of the computer-implemented method includes parsing, by a processing device, user content using a natural language processing technique to extract tokens. The method further includes filtering, by the processing device, the tokens relating to a natural language processing criterion. The method further includes calculating, by the processing device, a metric based at least in part on the filtered tokens. The method further includes determining, by the processing device, whether to take an action by applying the metric to a set of rules. The method further includes taking the action responsive to determining to take the action.

Abstract: An example method includes determining a number of impressions that occurred on mobile devices and that are attributable to a first demographic group; determining whether a size of a first audience that corresponds to the first demographic group satisfies a threshold, where the first audience includes panelists in an audience measurement panel; determining whether a size of a second audience satisfies the threshold when the size of the first audience does not satisfy the threshold, where the second audience includes panelists in the audience measurement panel that correspond to a second demographic group and the first audience is a subset of the second audience; and calculating impressions attributable to a market segment and to the second demographic group when the second size of the second audience satisfies the threshold based on a portion of the second audience that belongs to the market segment.

Abstract: A recommender system that represents items in a catalog by first feature vectors in a first vector space based on first characteristics of the items and second feature vectors in a second vector space based on second characteristics of the items different from the first characteristics and maps a feature vector defined in the first vector space for an item to a vector in the second vector space to provide recommendations based on the item.

Abstract: A device may receive first information that includes a first data element. The device may receive second information that includes a second data element. The first data element and the second data element may be associated with different area identifiers. The device may associate the first information and the second information with a geographic area. The device may determine, for the geographic area, a first data element score based on the first data element. The device may determine, for the geographic area, a second data element score based on the second data element. The device may determine, for the geographic area, a market index based on the first data element score and the second data element score. The device may provide information regarding the market index to permit and/or cause an action to be performed in association with the geographic area.

Abstract: Analytics are used for live streaming based on image analysis within a shared digital environment. A group of images is obtained from a group of participants involved in an interactive digital environment. The interactive digital environment can be a shared digital environment. The interactive digital environment can be a gaming environment. Emotional content within the group of images is analyzed for a set of participants within the group of participants. Results of the analyzing of the emotional content within the group of images are provided to a second set of participants within the group of participants. The analyzing emotional content includes identifying an image of an individual, identifying a face of the individual, determining facial regions, and performing content evaluation based on applying image classifiers.

Abstract: A transportation controller (TC) computing system for monitoring a user computing device location and triggering location-based events using geo-fencing is provided. The TC computing system includes at least one TC computing device configured to register a customer with a transportation controller (TC) service using registration data received from a user computing device associated with the customer. The TC computing device is also configured to receive, in response to the user computing device detecting a first geo-fence, first travel data associated with a trip of the customer. The TC computing device is further configured to validate the trip using the first travel data, receive, in response to the user computing device detecting a second geo-fence, second travel data associated with the trip of the customer, and determine a first transaction amount for the trip based on the first travel data and the second travel data.

Abstract: First position information indicating positions of approaching people nearing merchandise is acquired. Second position information indicating a position of a subject person who has stretched an arm out towards the merchandise among the approaching people, is detected. A movement action performed on the merchandise is detected. An ID of a person corresponding to the subject person who performed the detected movement action is specified based on a positional relationship between the first position information and the second position information.