Abstract: Various embodiments described herein relate to a system for providing automated solutions, in response to a query of a user. The system may include a search engine-based web service, which may receive information from a database and may enable the user to troubleshoot their query. The search engine-based web service may include an artificial intelligence based chat service. The user may use the artificial intelligence based chat service to submit the query. In response, an intelligent virtual assistant of the artificial intelligence based chat service may process the query and return the solutions from the database, which may be appropriately related to subject matter of the query.

Abstract: In a computer-implemented method for performing intent-based search of media files, a search query for searching media files of a library of media files is received from an electronic device. The search query includes a user-entered search term and additional search information related to an intent of a user. The library of media files is searched for media files according to the search query. Search results are returned to the electronic device, the search results including a listing of media files satisfying the user-entered search term and prioritized according to the additional search information related to the intent of the user.

Abstract: A Bloom filter is used to track contents of a cache. A system checks the Bloom filter before deciding whether to prefetch an address (by hashing the address and checking a value of the Bloom filter at an index based on the hash). This allows the system to utilize more aggressive prefetching schemes by reducing the risk of wasteful redundant prefetch operations.

Abstract: Aspects of the disclosure relate to message verification. A computing platform may generate a cryptographic key pair comprising a public key and a private key. The computing platform may publish, to a server, the public key. The computing platform may generate a short message service (SMS) message. The computing platform may sign, using the private key, the SMS message, which may include computing a cryptographic hash of the SMS message using the private key and embedding the cryptographic hash in an SMPP field of the SMS message. The computing platform may send, to a downstream computing system, the signed SMS message, where the downstream computing system may be configured to validate the signed SMS message using the cryptographic hash embedded in the SMPP field of the SMS message and by accessing the public key.

Abstract: A method and an apparatus for recognizing different users in a household without having the users to register or enroll their biometric features are provided. The apparatus may leverage sensors integrated with a remote control device or connected to a media device and create pseudo-identity of a user when the user is consuming the content services from media device. When pseudo-identity is created, user's content preference, user's viewing habit, and user's viewing behavior with respect to the content, may be associated with more than one pseudo-identity to better identify the same user. In subsequent usage, personalized services, such as personalized guide & programs, user-selected preferences, targeted advertisement, or content recommendation, may be provided by service provider to user in a subtle and natural manner.

Abstract: A method is provided for managing and tracking scouting tasks to obtain map information using a fleet of autonomous vehicles. For instance, the method includes defining a scouting quest to obtain the map information. The scouting quest includes a plurality of objectives. Each objective is associated with a geographic location from which sensor data is to be captured. The method also includes receiving a first update message from an autonomous vehicle of the fleet. The update message identifies a location of the autonomous vehicle. The method also includes assigning at least one of the objectives to the autonomous vehicle based on the location of the autonomous vehicle. The method also includes sending instructions to the autonomous vehicle in order to cause the autonomous vehicle to complete the at least one objective and after sending, tracking a status of the scouting quest.

Abstract: An information display method and an apparatus are described wherein a terminal obtains a first operation entered by a user. The terminal further obtains at least one key character based on the first operation. The terminal further determines that characteristic information associated with the key character is stored, and displays target information associated with the characteristic information. The target information is information that is in a set of information associated with the key character and that is associated with the characteristic information. The method can improve information display precision.

Abstract: An initial small group of customers are randomly selected for participation in a campaign associated with a promotion. Transactions of the group are monitored for a redemption of the promotion. A redeeming member's transaction is modeled and mapped into a multidimensional space and transactions for customers not included in the group are modeled and mapped into the space. A neighborhood of the redeeming member and select ones of the customers not included in the group are detected as emerging from the space. Most similar customers to the redeeming member are determined from the neighborhood and a preconfigured number of the most similar customers are selected for inclusion within the group for the campaign. This process continues until a goal of the campaign is reached or the campaign is ended.

Abstract: A system stores records of different entity types and processes search queries to determine search results comprising records that match the search query. The system receives a search query comprising search keywords from a source user. The system identifies a target user based on a search keyword received in the search query. The system determines a relationship between the source user and the target user. The system determines a relationship strength score for the relationship between the source user and the target user and ranks the search results based on the relationship strength score. The system provides the search results to the source user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a win prediction for an opportunity. In some implementations, a server receives data representing an opportunity. The server obtains historical data from a data repository based on the received data representing the opportunity. The server generates standardized feature vectors based on non-standardized data, the non-standardized data comprising (i) the received data and (ii) the obtained historical data. The server filters the standardized feature vectors. The server generates a win percentage based on the filtered feature vectors using classifiers. In response to generating the win percentage for the opportunity, the server generates a plurality of data insights using the classifiers and the generated win percentage, wherein the plurality of data insights describe one or more data predictions for pursuing the opportunity.

Abstract: A method, computer system, and a computer program product for personalized voice responses is provided. The present invention may include gathering a plurality of user data from an Internet of Things (IoT) connected sensor. The present invention may include identifying a personalized vocabulary based on the gathered plurality of user data. The present invention may include training a voice response system based on the gathered plurality of user data and the identified personalized vocabulary. The present invention may include receiving a verbal request. The present invention may include responding to the received verbal request using the trained voice response system.

Abstract: Systems, methods and computer program products for automatically ingesting and filing documents in a database having a plurality of file locations. An electronic file having one or more documents is received. For each document in the received file, text data is identified and used to generate a plurality of suggested file locations for the received documents. Machine learning systems may be used to enhance the accuracy of suggested file locations.

Abstract: A tracking device can provide a hashed identifier to a mobile device, for instance within an advertisement packet. The mobile device can query each of a plurality of entities with the hashed identifier to identify an entity associated with the hash key used to generate the hashed identifier. In some embodiments, the mobile device can query a centralized key server, which in turn can query the plurality of entities to identify the entity associated with the hash key. The mobile device can then receive a public key from the identified entity, can determine a location of the mobile device, and can encrypt the location with the public key. The mobile device can then provide the hashed identifier and the encrypted location to the identified entity, which can provide the encrypted location to an owner of the tracking device for decryption using a private key corresponding to the public key.

Abstract: In various embodiments, a method for generating from one or more keywords a list of related topics for organic search includes receiving, by a topic tool, an input of one or more keywords for which to generate a list of related topics. The method may further include acquiring, by a crawler, content from a plurality of different web content sources via one or more networks. The method may also include applying, by the topic tool, to the acquired content an ensemble of one or more key phrase extraction algorithms, one or more graph analyses algorithms and one or more natural language processing algorithms to identify a set of semantically relevant topics scored by relevance. The method may also include generating, by the topic tool, from the set of semantically relevant topics, a knowledge graph of related topics for the input of the one or more keywords.

Abstract: Described are methods, systems, and apparatus, including computer program products for packaging media. In some embodiments, the technology relates to a computer-implemented method of packaging media files. A list of one or more media asset IDs is received by a media packaging server. A packaging template is received by the media packaging server. One or more media files based on a media asset ID in the list of the one or more media asset IDs and the packaging template are retrieved, by the media packaging server. Metadata associated with the media asset ID based on the packaging template is retrieved by the media packaging server. The one or more media files and the metadata are packaged by the media packaging server into a delivery package in a packaging format indicated by the packaging template.

Abstract: Methods and systems for generating a response to a query using an AI engine. One method includes translating a received query into a profile comprised of at least a query type and a priority. The method further includes collecting, based on the profile, a first set of data items from a first data file storing data categorized as general public data and a second set of data items from a second data file storing data categorized as personal private information and applying an AI correlation engine to the second set of data items to determine PPI-agnostic relevancy indicators for PPI included in the second set of data items. The method further includes masking, based on the query cluster profile, the second set of data items by replacing the PPI included in the second set of data items with the PPI-agnostic relevancy indicators.

Abstract: Embodiments described herein provide for techniques to reduce the complexity of rendering immersive 3D video content. One embodiment provides for an apparatus comprising one or more processors to receive a data set that represents a two-dimensional encoding of planar projections of a frame of a three-dimensional video, decode the two-dimensional encoding into texture data, geometry data, and metadata, determine, based on the metadata, a visibility status and an occupancy status for a sample position in the three-dimensional video, and render video data for the sample position when the sample position is visible and occupied.

Abstract: The following relates generally to light detection and ranging (LIDAR). In some embodiments, an inventory list of personal belongings is generated based upon data received from a LIDAR camera. For instance, in some embodiments a system: receives LIDAR data generated from one or more LIDAR cameras; analyzes the LIDAR data to determine or identify one or more personal articles or insurable assets; and generates an electronic inventory list of personal belongings based upon the one or more personal articles or insurable assets determined or identified from the LIDAR data.

Abstract: A system and method for data curation, which enables multimedia content, such as social media postings, to be analyzed automatically and accurately.

Abstract: Computer-readable media, methods, and systems for comparing and migrating multiple online user accounts from multiple online platforms while reducing the probability of false mergers. At least one first online platform comprising a plurality of online accounts associated with the first online platform may be compared with at least one second online platform comprising a plurality of online accounts associated with the second online platform. The comparison further includes comparing the one or more fields of personally identifiable information associated with the first user and the one or more fields of personally identifiable information associated with the second user while excluding known improbable values. Following the comparison between the online accounts, a migration outcome may be determined for creating a new online account, migrating online accounts across online platforms, or consolidating online accounts.

Abstract: A method and system for temperature control of a microclimate device are disclosed. The temperature control can be integrated into a reservation system for the microclimate device. A user interface can receive a user input of a temperature control setting. The user interface can be integrated into the microclimate device. A processor can receive the user input and control a heating and/or cooling device to execute the temperature control setting.

Abstract: Images of semiconductor wafers can be hashed to determine a fixed length hash string for each of the images. Pattern synonyms can be determined from the hash strings. The pattern synonyms can be grouped. A degree of similarity between images in the groups is adjustable via a hamming distance. This can be used for various applications, including determination of latent defects.

Abstract: Systems and methods are disclosed for efficiently uploading event data of a data intake and processing system and building journey instances using the uploaded event data in a distributed manner. Each journey instance is illustratively associated with a series of events within the event data occurring over a journey duration. For example, a cloud-based hosting system can implement a cloud-based distributed system that receives fragmented uploads of event data from the data intake and query system. Once received, the cloud-based hosting system can combine the event data from one or more uploads and re-stitch portions of the uploaded event data using a set of worker nodes to build journey instances.

Abstract: A data supply, verification, matching, and acquisition platform comprising a data supply sub-system and interface, a data verification sub-system, a data matching sub-system, and a data acquisition sub-system and interface, with the data supply sub-system configured to obtain a first type of data, the data verification sub-system configured to verify the first type of data, the data acquisition sub-system configured to obtain a second type of data, and the data matching sub-system configured to match the first type of data with the second type of data and return positive matches to the data acquisition sub-system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a sparse mapping of a data hierarchy. In one aspect, a method includes accessing a data hierarchy of elements, receiving a list of identifiers that each identify an element in the data hierarchy; determining, from the data hierarchy and the list of identifiers, a minimum tree that includes each of the identified elements identified by the list of identifiers additional elements that are not identified by the list of identifiers, where the identified elements and the additional elements define a set of a minimum number of elements necessary to form a path in the data hierarchy that connects all of the identified elements identified by the list of identifiers, and where the elements that belong to the minimum tree are a proper subset of elements of the data hierarchy.

Abstract: A method and system of providing material based on a user-initiated request utilizing an electronic database includes receiving search keywords to conduct a search and accessing a first database having previously stored contact information for the particular user in an initial table record. The method includes transforming data in the fields of the record for the particular user in the initial table to generate a record in a sanitized table, accessing a second electronic database having previously stored data structures corresponding to businesses, where each data structure maps selected keyword combinations to corresponding icons, and to particular material corresponding to each keyword combination, and displaying icons associated with search results having corresponding selected keywords near associated result items on an electronic display.

Abstract: The disclosed invention provides system and method for providing electronic collaborations between a plurality of user devices connected through networks. The user devices include one or more collaborator devices and one or more anonymous contributor devices. The system includes instructions for contribution processor and instructions for digital workspace processor. The contribution processor is coupled through the networks to the one or more anonymous contributor devices including contribution applications, and the digital workspace processor is coupled through the networks to the one or more collaborator devices including digital workspace applications. The system and method allows anonymous devices geographically located anywhere, in real-time, to simultaneously contribute data for the purpose of using the contributed data in one or more unique digital workspaces.

Abstract: Techniques for identifying video and/or audio content are presented. An identification management component (IMC) groups users determined to be at least potentially be watching the same content based on first content fingerprints associated with respective content viewed by the users on communication devices, and a defined matching criterion. IMC facilitates identifying the content associated with the group of users based on first content fingerprints associated with the group of users and first reference content fingerprints. IMC receives a second content fingerprint associated with a communication device of a user in the group, sends the second content fingerprint to a third-party identification component for comparison with second reference content fingerprints, and receives content identification information in response.

Abstract: According to one aspect, a system for locating application-specific data that includes a server, a broker, and an agent. An operator may define a command using the server, and this command may be sent to the broker. The broker may then send the command to the agent operating on an end-point system. The agent may then conduct an application-specific data search on the end-point system in respect of the user command. Search results may then be sent to the broker. The broker may then sent the search results to the server.

Abstract: Training and use of a byte n-gram embedding model is described herein. A neural network is trained to determine a probability of occurrence associated with a byte n-gram. The neural network includes one or more embedding model layers, at least one of which is configured to output an embedding array of values. The byte n-gram embedding model may be used to generate a hash of received data, to classify the received data with no knowledge of a data structure associated with the received data, to compare the received data to files having a known classification, and/or to generate a signature for the received data.

Abstract: A workflow executed by an on-premise installation of the content management system can include a cloud workflow and an on-premise workflow relating to on-premise content retained in an on-premise repository managed by the on-premise installation of the content management system. A synchronization can be initiated between the on-premise content and a cloud copy of the on-premise content to reflect a change to either of the on-premise content or the cloud copy in the other of the on-premise content and the cloud copy. The cloud copy can exist at a location managed by a cloud-based installation of the content management system. Upon detection that the cloud workflow has been completed by the location using the cloud copy, a resumption of the on-premise workflow can be triggered using the synchronization between the on-premise content and the cloud copy of the on-premise content. Related systems, methods, products, etc. are described.

Abstract: A platform for processing event traces to generate clusters of journey maps for an interactive user display. The clustering can be implemented using a genetic process. The clustering can be implemented using a distance measures. Other clustering techniques can be used. The platform can use the clustering results to generate interactive dynamic visualizations with interactive selectable portions. The platform can integrate processing mining and journey maps to generate interactive dynamic visualizations.

Abstract: Methods, computer program products and/or systems are provided that perform the following operations: obtaining payload attribute fields; determining potential matching fields from the payload attribute fields; determining a matching function for each of the potential matching fields; determining an attribute score for each of the potential matching fields based on the matching function; obtaining a score list for a reference data set; determining a correlation of the attribute score for each of the potential matching fields with the reference data set score list; selecting new matching fields from the potential matching fields based at least in part on the correlation; determining an optimal weight for each of the selected new matching fields; selecting attribute fields for matching from the selected new matching fields based on a threshold rate for false positives and false negatives; and providing the attribute fields for matching and the associated optimal weight for the attribute fields.

Abstract: Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.

Abstract: An information search method and apparatus, a device and a storage medium, relating to fields of intelligent search, intelligent recommendation, deep learning and the like. A specific implementation includes: determining feature information of a target user; acquiring at least one candidate search path to determine candidate search results in a database; determining a matching degree between the feature information of the target user and the at least one candidate search path using a matching model, and determining a target search path from the candidate search paths according to the matching degree; and determining a target search result matched with the target user using the target search path.

Abstract: A computing device receives user selection of a data source. The computing device receives a user input to specify a level of detail (LOD) expression, which includes a first keyword, a SORT keyword, and an analytic expression. In response to the user input, the computing device identifies one or more data fields from the data source. The device translates the LOD expression into one or more executable database queries referencing the identified data fields. The computing device executes the queries to retrieve data from the data source. The computing device generates and displays a data visualization using the retrieved data.

Abstract: This application provides a data management method and an apparatus, and relate to the field of data storage, to implement unified management of management data.

Abstract: Disclosed herein are system, method, and computer program product embodiments for a dynamic email content engine. An embodiment operates by selecting a subscriber record from a database. The embodiment adds, i.e., stores, a first content item to a content pool based on a first rule in a set of rules, wherein the first rule is applied based on a characteristic of the content item or a persona record assigned to the subscriber record. The embodiments adds, i.e., stores, a second content item to the content pool based on a second rule in the set of rules. The embodiment ranks the first content item and the second content item in the content pool based on a first priority value and a second priority value. The embodiment assigns the first content item to the subscriber record based on the ranking.

Abstract: The present teaching relates to entity extraction and disambiguation. In one example, an entity name extracted from a data source associated with a user is obtained. One or more entity types associated with the entity name are determined. One or more entity candidates are identified with respect to each of the one or more entity types. An entity candidate is selected with respect to one of the one or more entity types to be an individual associated with the entity name.

Abstract: A system and a method are disclosed that enable a mobile device to use an encoded tag to initiate and maintain communications with at least one remote server. The encoded tag is positioned to identify a point of interest, and in response to using the mobile device to scan the encoded tag, communications regarding the point of interest may be initiated. A single encoded tag may be used to obtain and update recorded information about the point of interest, to notify others about an issue related to the point of interest, to log into the system, and to wait to be alerted about an issue related to the point of interest. If an issue relating to a point of interest has been reported, the system and method may monitor the reported issue to ensure that an action has been taken to address the reported issue.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Abstract: Embodiments described herein disclose methods and systems for managing a digital reputation of a user. The exemplary method can receive information about an item to be purchased by the user, determine in real-time or near real-time, based on one or more financial factors, a first digital reputation score indicative of an effect of the item on the user's digital reputation, determine an alternative item to be purchased instead of the item to be purchased, and determine a second digital reputation score based on the purchase of the alternative item.

Abstract: A method of setting a listing price for an item is disclosed. One or attributes of the item are determined based on data entered into fields of a listing user interface. One or more additional items are identified based on a comparison of one or more attributes of the one or more additional items with the one or more attributes of the item. Sales information associated with the one or more additional items is determined. A range of suggested prices and at least some of the sales information is incorporated into a selection user interface region of the listing user interface. Based on a selection of a suggested price from the range of suggested prices, a preview of the listing as it would appear in a search results page with the one or more additional items is presented in the listing user interface.

Abstract: An embodiment may include a machine learning based classifier that maps input observations into respective categories and a database containing a corpus of training data for the classifier. The training data includes a plurality of entries, each entry having an observation respectively associated with a ground truth category thereof. A computing device may be configured to select, from the training data, a plurality of subsets each containing a different number of entries. The computing device may also be configured to, for each particular subset: (i) divide the particular subset into a training portion and a validation portion, (ii) train the classifier with the training portion, (iii) provide the validation portion as input to the classifier as trained, and (iv) based on how entries of the validation portion are mapped to the categories, determine a respective precision for the particular subset.

Abstract: Implementations of the disclosure are directed to OCR error correction systems and methods. In some implementations, a method comprises: obtaining, at a computing device, optical character recognition (OCR) text extracted from a document image, the text comprising a token; searching, at the computing device, based on a token bigram determined from the token and a mapping between words in a corpus and a corpus bigram set comprised of unique bigrams from the beginning or ending of the words in the corpus, the corpus for a best word to replace the token; and replacing, at the computing device, the token with the best word.

Abstract: The present disclosure provides an error correction method. The error correction method includes: determining a plurality of target candidate entities from a preset dictionary tree based on a query request; for each target candidate entity, calculating a first probability that the target candidate entity is a legitimate entity; evaluating each target candidate entity to obtain an evaluation result, a target candidate entity corresponding to an evaluation result; and determining a real intent entity corresponding to the query request based on the first probability and the evaluation result.

Abstract: Various embodiments relate generally to dating/friendship finder application systems. An online and in-person gathering system which includes a method for tracking affinity and aversion between users by requesting individual user's feedback on other users based on post-gathering interactions amongst them. System tracks and discloses affinity and aversion feedback towards another user to facilitate decision making with regards to attending or not attending a gathering. Gathering invites are visible or invisible to users based on the affinity and aversion responses from hosts (users planning a gathering) and prospective participant-users. Through empirical affinity and aversion feedback, system identifies proclivity towards personality types defined by the hashtag descriptors provided by users, as well as provide relevant ranking for the presentation of other users, gatherings and 3rd party content objects.

Abstract: A computer-implemented method of generating a musical composition containing a plurality of musical texture groups is disclosed. The method includes assembling musical texture groups from musical instrument components and associating therewith a tag expressing emotional textural connotation. The instrument components have musical textural classifiers selected from a set of pre-defined textural classifiers such that different instrument components may have a different subset of pre-defined textural classifiers. The textural classifiers within a texture group possess either no musical feature attribute or a single musical feature attribute and any number of musical accompaniment attributes. The method then generates at least one chord scheme to a narrative brief, to provide an emotional connotation to a series of events, the chord scheme generated by selecting and assembling Form Atoms.

Abstract: This specification describes methods for performing inferencing based on input data, the methods comprising: initialising a neural network based on a set of stored model information, which defines a plurality of orthogonal binary basis vectors which are to be used to implement kernels in one or more hidden layers of the neural network, and plural sets of plural coefficients, each set of plural coefficients corresponding to a respective one of the kernels, wherein each of the coefficients in a given set of coefficients is associated with a respective one of the one or more orthogonal binary basis vectors; passing input data through the neural network such that convolution operations between the kernels and data arriving at the kernels are performed, wherein each of the kernels is implemented using a respective set of coefficients and the orthogonal binary basis vectors with which the coefficients in the set are associated; and outputting data from the neural network, the output data representing an inference c

Abstract: Technologies for creating a digital link between an acronym in an electronic document and a definition that is retrievable by an online system include receiving digital data that includes the acronym and a current usage context; where the acronym and the current usage context form an acronym-usage context pair; creating, as digital output in response to the digital data, a link between the acronym-usage context pair and the definition; where a similarity metric is used to select the definition from different stored definitions of the acronym; where the similarity metric is determined by computer program instructions mathematically comparing the current usage context to usage context data of at least one of the different stored definitions of the acronym; where the link is traversable to cause display of the definition on a display device in response to a display of the acronym on the display device.