Abstract: Disclosed are systems and methods for receiving a plurality of comments at a particular phase of a transaction with a member of a networked system, classifying one or more of the plurality of comments into one of a set of predetermined sentiment classifications, applying a trained machine learning system to select a category from a set of predefined categories for each of the one or more comments, applying a natural language processing module to generate a sub-category for each of the one or more comments, associating the generated sub-categories with their respective categories for the one or more comments, and generating a display of the determined categories for the particular transaction with the generated sub-categories, each generated sub-category being graphically connected to their respective categories.

Abstract: A system and method for sharing information on a network-based social platform is provided. An indication is received from a first user to share information regarding an item on a network-based social platform. The network-based social platform is a platform that allows the first user to communicative couple with other users of the network-based social platform. Profile information of the first user is accessed. A determination of whether the first user is authorized to share the information is made. Based on the first user being authorized, an identifier for the item is added to a list of recommended items that is accessible view the network-based social platform.

Abstract: A computing system includes an anonymizer server. The anonymizer server is communicatively coupled to a data repository configured to store a personal identification information (PII) data. The anonymizer server is configured to perform operations including receiving a repository configuration request comprising an anonymized data schema, and creating an anonymized data repository clone based on the anonymized data schema. The anonymizer server is also configured to perform operations including anonymizing the PII data to create an anonymized data by applying a one-way data masking, a one-way data morphing, or a combination thereof, and storing the anonymized data in the anonymized data repository clone.

Abstract: The present disclosure is directed to a method of enabling an application programmed on a mobile device to collect data. The application may operate in the background of the mobile device and be temporarily activated, and may be capable of collecting data while activated. The method may include receiving location data indicating a current location of the mobile device, generating a set of custom virtual borders around the current location, and instructing an operating system of the mobile device to temporarily activate the application when the mobile device crosses one or more of the custom virtual borders. The method is repeated upon temporary activation of the application, such that an updated set of custom virtual borders is generated when the mobile device crosses one or more of the previous custom virtual borders.

Abstract: A system and method for displaying seat inventory at a venue and facilitating planning of ticket prices for events at the venue is presented. Methods to predict total revenue for an event are described. Also presented are systems and methods for determining at what price and when to release so-called ‘flex’ price tickets during an on-sale using the sales velocity and sales/inquiry ratios. Determining demand of seats from secondary markets is also described with methods to use the demand for either re-pricing the seats in the primary market or presenting ‘best value’ seats to a prospective purchaser. Outputted tickets can be used to initiate entry processes to a gate structure of a venue by unlocking the gate structure or denying access through the gate structure of an invalid outputted ticket.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating corpus-based content generation, in particular, using graph-based multi-sentence compression to generate a final content output. In one embodiment, pre-existing source content is identified and retrieved from a corpus. The source content is then parsed into sentence tokens, mapped and weighted. The sentence tokens are further parsed into word tokens and weighted. The mapped word tokens are then compressed into candidate sentences to be used in a final content. The final content is assembled using ranked candidate sentences, such that the final content is organized to reduce information redundancy and optimize content cohesion.

Abstract: Systems, devices, and computer-implemented methods for classification and moderation of user-generated content for publication of the content in an online environment. Exemplary embodiments automatically determine a probability value indicating that the user-generated content is either a positive example or a negative example of one or more unsuitable categories, If the user-generated content is determined to be a positive example of any of the unsuitable categories to a predefined degree of certainty, exemplary embodiments may automatically exclude the content from publication in the online environment.

Abstract: Systems, devices, media and methods are presented for retrieving a current location of client device, accessing geographic data based on the current location of the client device, analyzing the geographic data to identify a plurality of geographic features, for each geographic feature of the plurality of geographic features, identifying a direction from the current location of the client device to the respective geographic feature and a confidence level indicating a probability that the current location of the client device is at the direction, returning the direction and the confidence level to the client device, and based on the direction and confidence level, causing presentation of graphical data on a user interface within the client device.

Abstract: A device and a method of displaying a response to an inquiry are provided. The method of displaying a response includes obtaining an inquiry indicated by a received user input, determining a response, from among a plurality of responses corresponding to the inquiry, by using context information indicating context of a user, and displaying text indicating the determined response and an image of a subject providing the response.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system corelates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: The present invention is a method or system of analyzing items to create a data structure using lexicon analysis and filtering process. The present invention drives the analysis without a user being required to provide search terms and Boolean queries. Further, the present invention merges the use of unstructured data and structured data using a lexicon as a focus. Structured data is mapped to lexicon terms through one analysis process, while unstructured data is mapped to lexicon terms through a separate analysis process. In some disclosed embodiments, the mapping process uses a tuple structure of the source data to match with lexicon terms. The result is an analysis that merges the two different sets of data, which enables a user to navigate through the items using lexicons. Analysis results are displayed simultaneously in a tabular view, geospatial view, and lexicon histogram.

Abstract: Systems and methods for querying and obtaining results from an external data source that operates with a different querying language is provided. The system activates a datasource connector of the system. The system receives attributes of a query in a native language of the system, and the datasource connector formats the attributes of the query into a query language statement in a native language of the external source. The datasource connector then makes an application programming interface (API) call to the external source. The API call includes a transmission of the query language statement to the external source, which causes the external source to perform a query using the query language statement. The datasource connector receives results of the query performed at the external source, whereby the results are in a non-tabular format. The datasource connector then reformats the results into a tabular format.

Abstract: Methods, systems, and apparatus for receiving a query; selecting one or more entities responsive to the query; providing, for display on a map portion of an interface, map-based representations of the one or more entities; providing, for display on a list portion of the interface, list-based representations of one or more of the entities; generating an additional query based on selection of a particular map-based representation of a particular entity; determining that, when the particular map-based representation was selected, a particular list-based representation was visible on the list portion; adjusting a ranking score for the particular entity; ranking the particular entity among one or more other entities identified as responsive to the additional query; and providing, for display on the list portion, list-based representations of at least one of the one or more other entities, including the particular list-based representation which remains visible on the list portion.

Abstract: An apparatus for a personal call center assistant includes a receiver that receives a query from a call center over a communication channel during a communication session between the call center and a user. A security checker that determines whether text from the query matches an entry in a user profile of the user and an inference engine identifies one or more query responses in response to the security checker determining that the text from the query matches an entry in the user profile. Each query response is assigned a confidence level and each confidence level includes a likelihood that the query response matches information requested in the query. An outputter converts a query response with a highest confidence level to an answer to the query and a responder communicates the answer to the query to the call center in a format compatible with the query.

Abstract: An information entropy-based metric is used to represent a degree of diversity of a search result of genealogical records. In response to a query, a data query server locates a set of multiple records that match the query. The records are classified into different record types based on the records' attributes. One or more distributions of numbers of records classified into each record type are determined. Each distribution corresponds to one of the subsets the records. For each distribution, an entropy value is determined. A cumulative entropy that corresponds to a sum of the entropy values of those distributions is then determined. The cumulative entropy may serve as the entropy-based metric of the search result. The cumulative entropy may also be normalized by an ideal cumulative entropy. The normalized metric allows the diversity of different search results to be compared across different queries that may generate different numbers of records.

Abstract: The present invention provides systems and methods for automatically identifying name-like-strings in digital resources, matching these name-like-string against a set of names held in an expertly curated database, and for those name-like-strings found in said database, enhancing the content by associating additional matter with the name, wherein said matter includes information about the names that is held within said database and pointers to other digital resources which include the same name and it synonyms.

Abstract: A game processing system that controls a display to display a plurality of graphic forms each indicating an identifier; identifies a trajectory of a continuously drawn input selecting a plurality of the graphic forms; identifies the identifiers of the graphic forms corresponding to the input trajectory; identifies at least a first command based on an arrangement of the identifiers when detecting an end of the input; and controls a game operation of attacking an opponent based on the command.

Abstract: Techniques for managing references in electronic document system are provided. The techniques proceed by storing managed references and associated metadata on a database, determining whether a user account is authorized to use a managed reference based on the associated metadata, requesting approval to use the managed reference from an owner account of the managed reference when determined the user account is not authorized to use the managed reference, and updating database to include the user account in notification about documents that use the managed reference and displaying managed reference with special visual treatment when receiving approval to use the managed reference.

Abstract: A system and method for assigning concepts to sets of values. A dataset is selected, wherein the dataset includes a plurality of records, each record including a plurality of named fields, wherein each record includes each of the named fields. Each named field is assigned to a category and a concept is selected by identifying one or more named fields that, when combined, provide a unique value for each record. In some embodiments, the data is organized as a table, wherein the records are rows and the named fields are columns.

Abstract: In certain implementations, a user request to add a new concept may be received. A set of media item recommendations may be caused to be loaded on a user interface for presentation to a user responsive to the user request to add the new concept. The media item recommendation set may include a set of recommendations loaded on an on-screen portion of the user interface and a set of recommendations loaded on an off-screen portion of the user interface. The on-screen user interface portion is visible to the user at a first time. The off-screen user interface portion is not being visible to the user at the first time. A user selection of one or more recommendations of the on-screen recommendation set is received. The off-screen recommendation set may be caused to be updated on the user interface during the presentation of the media item recommendation set based on the user recommendation selection.

Abstract: An entity communicates with a central authority to issue an asset to an individual. The asset has associated therewith a distinct URI or “unique ID”. The asset uniquely identifies the individual to the issuing entity and to other entities in communication with the central authority. Select data about the individual obtained by one or more entities is stored in the central authority or in a network memory in communication therewith using the Resource Description Framework, which allows for this data to be queried by the entities with increased efficiency.

Abstract: Examples of techniques for selectively providing mTLS using alternative server names are described herein. An example system includes a processor to generate an alternative server name in response to detecting a legacy indicator. The processor is to also associate the alternative server name with an address of a pod. The processor is to further configure a proxy associated with the pod to selectively provide mutual transport layer security (mTLS) based on the alternative server name.

Abstract: A computer determines a filtering query based on a persistent list of items, wherein the persistent list of items comprises a list of natural language elements, and wherein the filtering query is computer instructions corresponding to the natural language elements. The computer determines whether a server is capable of receiving the filtering query. Based on determining that the server is capable of receiving the filtering query, the computer transmits the filtering query to the server. The computer receives filtered content from the server, wherein the filtered content is based on the filtering query, and the computer displays the filtered content.

Abstract: Systems and methods are provided for determining in real-time geographic areas having a threshold level of content consumption and deploying dynamic geo-fences to contain these geographic areas. These dynamic geo-fences provide a means for timing message notifications in order to optimize the chances of delivering targeted content to a mobile device user based on the current geographic location of the user's device relative to a threshold level of content consumption area. As mobile device users may be more likely to launch a client application in a place where other users are currently consuming content, a general message notification sent to the user's device located in a dynamic geo-fence created based on real-time content consumption, may increase the likelihood that the user will launch the client application and thereby, allow targeted content to be delivered to the user's mobile device.

Abstract: [Object] To provide a system for automatically and reliably collecting information belonging to a given category, and matching the information appropriately in a timely manner. [Solution] A text classifying device 30 analyzes dependency of collected texts by a morpheme analyzing unit 52 and a dependency analyzing unit 54. A problem report collecting unit 64 specifies a core consisting of noun+predicate in a text based on dependency relation of the text, and using a combination of noun classification (trouble/non-trouble) and predicate classification (excitatory/inhibitory), classifies the text to a problem report or the rest, by a method referred to as core-based matrix. Support information collecting device 66 and request message collecting device 68 collect support information and request messages in the similar manner.

Abstract: Architecture introduces a new pattern operator referred to as called an augmented transition network (ATN), which is a streaming adaptation of non-reentrant, fixed-state ATNs for dynamic patterns. Additional user-defined information is associated with automaton states and is accessible to transitions during execution. ATNs are created that directly model complex pattern continuous queries with arbitrary cycles in a transition graph. The architecture can express the desire to ignore some events during pattern detection, and can also detect the absence of data as part of a pattern. The architecture facilitates efficient support for negation, ignorable events, and state cleanup based on predicate punctuations.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: In one embodiment, a server computing device receives a message indicating a current notification mode of a mobile computing device of a user. The received message comprises information from one or more sensors of the mobile computing device. The current notification mode is based at least in part on the information from the one or more sensors of the mobile computing device. The activity of the user is determined based at least in part on sensor information of the mobile computing device. The current notification mode of the mobile computing device is determined based on the user activity or the information from the one or more sensors of the mobile computing device. The server computing device determines whether to transmit a communication to the mobile computing device based on the current notification mode of the mobile computing device.

Abstract: Methods, apparatus, systems and articles of manufacture to perform identity matching across audience measurement systems are disclosed.

Abstract: A user-defined function (UDF) is received. Then, execution of the UDF is distributed into a plurality of phases. Lastly, each of the phases is executed separately on a relational database including an aggregate projection that stores an aggregate value calculated from a table column of a table using an aggregate function.

Abstract: A method of searching content is provided. The method includes receiving, in a social media messaging program, a search request including one or more search terms from a user of a client device. The method further includes searching, among the user's contacts locally stored on the client device, for contacts matching with the one or more search terms to produce first search results displaying a least a subset of the first search results and one or more search navigation affordances. At least one of the search navigation affordances corresponds to second search results of a first content type that are shared by the user and other users and at least one of the search navigation affordances corresponds to third search results of a second content type different from the first content type that are associated with the user.

Abstract: A credibility determining system enabling highly accurate credibility determination of given information includes causal relation knowledge DB 90 and search scope constraint DB 88. Causal relation knowledge each includes a combination of cause and result parts, and time and position constraints associated with the causal relation.

Abstract: Systems and methods for generating synchronized multimedia streams including mood data are disclosed. In one embodiment, a computer-implemented method comprises: obtaining, by a computing device, one or more primary streams of data; creating, by the computing device, digital mood data that is synchronized with the one or more primary streams of data, wherein the digital mood data is configured for use by a wearable mood device; and storing, by the computing device, the digital mood data in a multimedia container with the one or more primary streams of data.

Abstract: A method of operating a geo-fence pre-caching system that includes a cache server and caches is provided. The method includes receiving from a user device and at a cache server a query wrapper including a cache identifier and a location of the user device. The cache server is implemented in a cloud-based network. The method includes selecting a cache based on the cache identifier. The method includes mapping the location to a first geographical area and accessing a cache entry of a cache record based on the first geographical area. The cache entry indicates the first geographical area. The method includes, based on content of the cache entry, accessing cache entries corresponding to geographical areas adjacent to the first geographical area. The content of the cache entry links to the cache entries. The method includes retrieving and formatting content included in the cache entries for presentation at the user device.

Abstract: Techniques are provided for automated privacy scoring of user information. In one example, a system comprises a memory that stores computer executable components, and a processor that executes computer executable components stored in the memory. The computer executable components can comprise a privacy scoring component that employs a privacy identification model to generate a privacy score for a user and a product in the particular context based on information associated with the user and the product in the particular context. The computer executable components can also comprise a privacy enforcement component that implements one or more privacy features on the information based on the privacy score.

Abstract: Described herein are technologies pertaining to automatic generation of an executive summary (explanation) of a medical event in an electronic medical record (EMR) of a patient. A medical event in the EMR is automatically identified, and a search is conducted over a document corpus based upon the identified medical event. A document retrieved as a result of the search is analyzed for a portion of text to act as an executive summary for the medical event. Each portion of text in the document is assigned a score, and the portion of text assigned the highest score is utilized as the executive summary for the medical event.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: In an example embodiment, usage information is used to calculate one or more individual document historical information-deficient metrics (IDHIDMs) by combining values for the one or more metrics from multiple documents within the document corpus that share an identical combination of entities of the one or more entity types. A search query is segmented into a plurality of segments, wherein at least one of the plurality of segments is tagged as a first entity type and at least one of the plurality of segments is tagged as a second entity type. At least one for a combination of entities matching the tagged segments is used to rank one or more retrieved documents responsive to the query.

Abstract: Dynamic generation of data catalogs may be implemented for accessing data sets in different storage locations. Data sets may be accessed in order to extract portions of data. Structure recognition techniques may be applied to the extracted data in order to determine structural information for the data sets. The structural information may then be stored as part of a data catalog for the data sets. Requests to access the data catalog from different clients may be received and the requested structural data supplied so that the clients may access different data sets utilizing the supplied structural data. Data catalogs may be updated as changes to data sets are made.

Abstract: Embodiments of search systems that leverage the search or access activities of a core group of users to improve search functionality and performance of such search systems are disclosed. Specifically, embodiments may utilize users' search activity to generate clusters of users and associated labels for those clusters. These clusters can be leveraged during a search to generate suggestions for a user conducting the search.

Abstract: Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Abstract: Systems and methods for determining a probability of an occurrence of a seismic event are provided. According to certain aspects, a system may receive one or more changes in acceleration associated with a plurality of vehicles. The system may receive one or more captured images of a vehicle occupant associated with a given vehicle of the plurality of vehicles. The system may determine a probability of an occurrence of a seismic event according to the one or more changes in acceleration exceeding a threshold and a likelihood that the one or more captured images are associated with an occurrence of a seismic event. Based on the probability exceeding a threshold, the system may provide an output signal that includes at least the determined probability and location information associated with the plurality of vehicles.

Abstract: Systems, methods, and computer readable mediums are provided for predicting a cache policy based on usage patterns. Usage pattern data can be received and used with a predictive model to determine a cache policy associated with a datastore. The cache policy can identify the configuration of predicted output data to be provisioned in the datastore and subsequently provided to a client in a just-in-time manner. The predictive model can be trained to output the cache policy based on usage pattern data received from a usage point, a provider point, or a datastore configuration.

Abstract: A method for dynamic event detection based on content from a set of social networking systems including receiving content from the set of social networking systems, identifying a plurality of content associated with a geofence, the content that was generated within a predetermined time period, determining feature values from the plurality of content for each of a set of features, determining an event probability for the geofence based on the feature values, and detecting an event within the geofence in response to the event probability exceeding a threshold event probability.

Abstract: A method for presenting video and audio data in an interactive manner which can be applied to story-telling. A story from a book or other source includes preset sentences, each having keywords and each of which correspond to a preset video frame. The keywords represent roles and non-roles, each role corresponding to an image. Voice sources of the roles can be set according to a user instruction. Audio data of storytelling is matched with the keywords of the preset sentences, wherein the audio data is acquired from the voice sources. A matched sentence is acquired from the preset sentences. The preset video frame corresponding to the matched sentence is selected from the database and displayed for interest and vividness of presentation.

Abstract: A method for interfacing with a financial institution using a computer interface is disclosed for on-line or E-Lending. A customer selects a lending product on the website of a financial institution. The financial institution receives information to authenticate the customer, and receives additional information related to the financial history and lending needs from the customer. The terms and conditions related to the lending product are presented to the customer and an authorization to an application is received from the customer. A risk analysis is performed using information received from the customer and the application of the loan is subject to approval based at least in part on the risk analysis. The third set of information related to insurance, disclosures, etc is received from the customer and a fourth set of information related to the closing information is provided back to the customer. The loan may be further closed on-line or with an attorney or agent.

Abstract: A computer system may receive a first set of bundled information. The computer system may have a processor and a memory storing one or more natural language processing modules. The computer system, using a natural language processing module, may ingest the first set of bundled information. The computer system may generate a first set and a second set of categories. The computer system may generate one or more models. The computer system may receive a set of input characteristics. The computer system may select a model based on the input characteristics. The computer system may rank one or more correlations using the selected model. The computer system may output a display of the one or more correlations on a graphical user interface.

Abstract: Disclosed herein are system, method, and computer program product embodiments for building a community database of allele counts. An embodiment operates by receiving human variant datasets derived from samples generated by distinct users, wherein the users consented to share pooled variant observations with other users; determining that a plurality of variant observations meet the inclusion criteria for a pool; and calculating one or more anonymized allele statistics from the pool.

Abstract: A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks.