Abstract: A content management device includes: a storage that stores (a) a content generated by imaging performed by a first terminal that is at least one of a plurality of terminals, (b) a time at which the imaging of the content was performed, and (c) a history indicating whether each of one or more terminals among the plurality of terminals excluding a second terminal received, during a period that includes the time at which the imaging was performed, a beacon signal transmitted from the second terminal by radio waves, the second terminal being at least one of the plurality of terminals; and a manager that manages the content as a permissible content that is permitted to be presented by the plurality of terminals when determining, with reference to the storage, that each of the one or more terminals received the beacon signal during the period.

Abstract: A method of improving efficiency of processing alerts by a Security Incident & Event Management (SIEM) platform involves a SIEM case creation platform made up of at least one pipeline, made up of multiple tasks, and is interposed between an alerts database and the SIEM platform.

Abstract: A search engine is provided that generates search results proportional to a natural distribution. Search results identified and ranked by the search engine for a search query are redistributed so that a fixed number of top ranked search results include search result attributes proportional to the natural distribution, as determined from interaction tracking of prior search results. A natural distribution index mapping prior search queries to search result attributes and a proportional representation of interactions with the search result attributes is generated. The natural distribution is determined from the proportional representation of interactions. The search engine redistributes the fixed number of top ranked search results by minimizing a gap between the ranked set of search results for the search query and the natural distribution.

Abstract: A system and method for measuring the quality of data reporting in a given medical study is presented. The instant innovation abstracts all relevant medical literature pertaining to a particular disease and categorizes the data and the study for quality and/or completeness. In an embodiment the instant innovation provides a system for study intake, permits user-determined search optimization, and provides for study data tagging. The innovation automates term inclusion and exclusion, automatically removing duplicates of previously collected study metadata, and then subjects the terms to a real-time sorting algorithm. Statistical analysis is performed upon included and excluded terms, and a representation of geometrical closeness from central tendency of any given data element is computed. The data elements and computed tendencies are reduced to a 2D visual representation and delivered to a user. The user may interact with the 2D visual representation using a device.

Abstract: A node in a blockchain network may initiate a non-fungible token identity, establish a profile for the non-fungible token identity, receive reputation data related to the non-fungible token identity, determine, based on the reputation data, a reputation score, append the non-fungible token identity with the reputation score as a non-fungible token metadata tag, and upload the non-fungible token identity and the metadata tag to an ID repository.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for filtering vehicle information. For instance, the method may include receiving a vehicle search request from a user device, the vehicle search request including conditions with corresponding weights. The method may also include, in response to receiving the vehicle search request, forming a search query based on the conditions and the weights of the vehicle search request; obtaining vehicle information; filtering the vehicle information based on the search query to obtain a result set and a partial match set; and transmitting a search result message based on the result set and the partial match set to the user device.

Abstract: Systems and methods for entity classification via an artificial intelligence model using a defined taxonomy framework are described. Entity classification includes identifying information associated with a entity, generating, by a processing device, a first query comprising the information associated with the entity and a first set of options for classification of the entity at a first level of classification granularity of a taxonomy framework, and providing the first query to a classification model. The method further includes receiving, from the classification model, a selection of a first option of the first set of options for classification and determining a classification of the entity based at least in part on the selection of the first option of the first set of options.

Abstract: A system performs named entity recognition for performing natural language processing, for example, for conversation engines. The system uses context information in named entity recognition. The system includes the context of a sentence during model training and execution. The system generates high quality contextual data for training NER models. The system utilizes labeled and unlabeled contextual data for training NER models. The system provides NER models for execution in production environments. The system uses heuristics to determine whether to use a context-based NER model or a simple NER model that does not use context information. This allows the system to use simple NER models when the likelihood of improving the accuracy of prediction based on context is low.

Abstract: Described herein is a system for predictive feature analysis to precompute and store data required to respond to a user input in advance of receiving the user input. To determine when to precompute the data, the system uses a prediction model to predict user interactions and when to expect the user input. The system predicts that a user input is about to be received, and starts to process certain data to determine feature data and stores the data in a cache. When the user input is received, the system retrieves the data from the cache for further processing to respond to the user input.

Abstract: Mechanisms are provided to implement a bias identification engine that identifies bias in the operation of a trained cognitive computing system. A bias risk annotator is configured to identify a plurality of bias triggers in inputs and outputs of the trained cognitive computing system based on a bias risk trigger data structure that specifies terms or phrases that are associated with a bias. An annotated input and an annotated output of the trained cognitive computing system is received and processed by the bias risk annotator to determine if they comprise a portion of content that contains a bias trigger. In response to at least one of the annotated input or annotated output comprising a portion of content containing a bias trigger a notification is transmitted, to an administrator computing device, that specifies the presence of bias in the operation of the trained cognitive computing system.

Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.

Abstract: A content delivery system for generating personalized content for a user. The system maintains an interest graph that shows the user's current attachment to one or more topics. When a user performs an action, a topic is determined for the action and the user's interest graph is modified based on the action. The system also receives content and analyzes the language of the content to determine a topic of the content. A similarity between the user's interests and the content is determined. The content is also analyzed to determine the popularity of the content. The user's interest level and the popularity of the content are then used to provide the user with a personalized content, such as a content recommendation or enhanced content.

Abstract: In accordance with some embodiments, processes and interfaces provide for refining a list of search results output by a search tool. In accordance with some embodiments, Natural Language Processing models are utilized to process an initial list of search results and the system is operable to identify additional search results that may be considered unwanted by the user based on input from the user for a sub-set of the search results and a word feature characteristic that the search results reviewed by the user have in common with search results not yet reviewed by the user. In one embodiment, a group search feature provides for facilitating a search involving a plurality of users that resorts a list of search results based on inputs from the plurality of users.

Abstract: Systems and methods for weakly-supervised training a machine-learning model to perform named-entity recognition. All possible entity candidates and all possible rule candidates are automatically identified in an input data set of unlabeled text. An initial training of the machine-learning model is performed using labels assigned to entity candidates by a set of seeding rules as a first set of training data. The trained machine-learning model is then applied to the unlabeled text and a subset of rules from the rule candidates is identified that produces labels that most accurately match the labels assigned by the trained machine-learning model. The machine-learning model is then retrained using the labels assigned by the identified subset of rules as the second set of training data. This process is iteratively repeated to further refine and improve the performance of the machine-learning model for named-entity recognition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ranking query completions based on activity session data. One of the methods includes receiving a query prefix from a user. A reference parameter for the user is obtained. One or more likely queries that are likely to co-occur with the reference parameter in user activity sessions are identified, wherein each likely query has an associated prediction score. A ranking of the one or more likely queries is provided in response to receiving the query prefix.

Abstract: A content management system categorizes electronic documents stored in a document storage database. The electronic documents include metadata. The content management system includes a categorization rules database of categorization rules. A recurrent categorization engine takes the rules and applies them to the electronic documents to generate a plurality of category groupings. Each category grouping includes groups based on the applicable rule used to create the grouping. The electronic documents are grouped between the groups. The most balanced dataset of groups is selected to generate a user prompt for further categorization of the electronic documents.

Abstract: The present disclosure provides method and apparatus for providing a summary of a multimedia document in a session. In some implementations, a message may be received from a user in a session and the session is between the user and an electronic conversational agent. The multimedia document may be obtained based at least on the message. The emotion information in the multimedia document may be extracted. The summary of the multimedia document may be generated based at least on the message and the extracted emotion information. A response including the generated summary of the multimedia document may be provided to the user.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for filtering vehicle information. For instance, the method may include receiving a vehicle search request from a user device, the vehicle search request including conditions with corresponding weights. The method may also include, in response to receiving the vehicle search request, forming a search query based on the conditions and the weights of the vehicle search request; obtaining vehicle information; filtering the vehicle information based on the search query to obtain a result set and a partial match set; and transmitting a search result message based on the result set and the partial match set to the user device.

Abstract: Provided is a method for providing product data to a user. The method may include receiving query data associated with a plurality of queries of a database by a user. A classification for at least two queries of the plurality of queries may be determined. A product associated with the classification of the at least two queries may be determined. A potential revenue associated with the product may be calculated based on the user. A probability that the user will purchase the product may be calculated. A score may be calculated based on the potential revenue and the probability that the user will purchase the product. Product data associated with the product may be transmitted to the user if the score exceeds a threshold. A system and computer program product are also disclosed.

Abstract: Systems and methods are provided for performing context-based keyword searching using a search bar. Based on search terms received via the search bar, the system may be configured to provide suggested search parameters to associate with that search term. The suggested search parameters may each include a type of data and/or a filter to associate with the search term (e.g., name, phone number, date of birth, etc.). The one or more suggested search parameters may be identified based on the search term itself, a list of possible types of data or filters, a preliminary search of one or more datasets, a record of one or more previous searches performed, requirements associated with one or more searchable datasets, the format of user input received via the search bar, and/or one or more other factors.

Abstract: The present disclosure provides method and apparatus for providing a summary of a multimedia document in a session. In some implementations, a message may be received from a user in a session and the session is between the user and an electronic conversational agent. The multimedia document may be obtained based at least on the message. The emotion information in the multimedia document may be extracted. The summary of the multimedia document may be generated based at least on the message and the extracted emotion information. A response including the generated summary of the multimedia document may be provided to the user.

Abstract: Techniques for data curation are provided. A data set is received for ingestion into a question answering system, where the data set includes a first question and a first answer. Relevance of the first question is validated by comparing the first question to a first question cluster in the question answering system, and it is determined that the first answer satisfies predefined security criteria. The first data set is evaluated to identify a set of references, and a generalized data set is generated by replacing each respective reference of the set of references with a corresponding entity identifier. The first generalized data set is then ingested into the question answering system.

Abstract: An electronic device is provided that includes a first display configured to display a primary resource, and a second display electronically coupled to the first display. The electronic device also includes a processor, and a data storage device having executable instructions accessible by the processor. Responsive to execution of the instructions, the processor shares the first display, including the primary resource, with at least one network based electronic device, and obtains context data related to a user of the at least one network based electronic device. Also responsive to the instructions, the processor selects between the first display and the second display to launch a network responsive resource based on the context data related to the user of the at least one network based electronic device while sharing the first display with the at least one network based electronic device.

Abstract: A method includes: determining, based on an elapsed time, a priority for each of groups obtained by clustering a plurality of pieces of response information based on similarity between the pieces of response information, each response information indicating a response to an event that has occurred, the elapsed time being measured from a time period in which the event recorded in each response information of each group occurred most often; calculating credibility for each response information, based on a number of times specifications of a system relating to the event have been changed after the response, and an elapsed time from date and time when the response recorded in the pieces of response information has been made; and controlling a presentation mode upon presenting the plurality of pieces of response information, based on the priority calculated for each group and the credibility calculated for each response information.

Abstract: A computer system monitors network sites to provide expedited delivery services. Operation of a network site is monitored to determine that an item is being obtained from the network site. The network site is scraped to determine that the item is available at a physical location associated with the network site. A courier service is identified to transport the item from the physical location to the delivery location. Delivery of the item is enabled by the courier service to the delivery location. Embodiments of the present invention further include a method and program product for monitoring network sites to provide expedited delivery services in substantially the same manner described above.

Abstract: Various embodiments pertain to techniques for proactively delivering navigation options to a user via a mobile device. In various embodiments, one or more navigation options can be determined for the user and delivered to the user's mobile device at a relevant time. Navigation options can be selected based on the user's current location, the user's future plans, the time, and other locally relevant information, such as friends nearby or a nearby favorite location of the user. The navigation options can be delivered to the user's mobile device at a time that the navigation options are relevant.

Abstract: A method and a system of using machine learning to automatically generate a reference data structure for a K-anonymity model. A vector space is generated from reference text data, where the vector space is defined by numerical vectors representative of semantic meanings of the reference text words. Input text words are converted into numerical vectors using the vector space. Word clusters are formed according to semantic similarity between the input text words, where the semantic similarity between pairs of input text words is represented by metric values determined from pairs of numerical vectors. The word clusters define nodes of the reference data structure. A text label is applied to each node of the reference data structure, where the text label is representative of the semantic meaning shared by elements of the word cluster.

Abstract: Systems and methods of machine learning for digital assets and message creation are provided herein. The present disclosure includes mechanisms for receiving one or more assets that include textual content, performing machine learning on the one or more assets in order to determine relevant words, phrases, and statistics included in the textual content, and displaying segments of data on a graphical user interface that also includes an interface that is used to create a message using content of the segments of the textual content that have been extracted from the one or more assets.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating a plan for document processing. A plurality of electronic documents are received, by a computer, using a network. The plurality of electronic documents are analyzed, using the computer, to identify a plurality of tabular data, based on the analyzed plurality of electronic documents. Textual data is identified within the identified tabular data, of the analyzed plurality of electronic documents. Textual hints are generated, based on the identified textual data within the identified tabular data. References are identified, wherein references are based on matching textual hints with textual data in the received plurality of electronic documents. A count of references is calculated, associated with one or more sets of tabular data. A priority score is calculated based on the count of references, and an ingestion plan is generated, based on the calculated priority score.

Abstract: Systems and methods for metadata tag inheritance during backup are disclosed. The method includes maintaining a plurality of data storage systems in communication with an external metadata management system, operating the metadata management system to store metadata corresponding to data residing on the data storage systems as a plurality of entries that include or more custom tags, detecting an execution of a backup data operation command on data residing in a data storage system that causes creation of a backup copy of a data set in that data storage system in a destination data storage system, and operating the metadata management system to create a new metadata entry corresponding to the execution of the backup data operation command in response to detecting the execution of the backup data operation command. The new metadata entry includes at least one custom tag created before the execution of the backup data operation command.

Abstract: Systems and methods for metadata tag inheritance are disclosed. The methods include maintaining a plurality of data storage systems in communication with an external metadata management system, operating the metadata management system to store metadata corresponding to data residing on the data storage systems as a plurality of entries, detecting an execution of a data operation command on data residing in a data storage system that causes movement of a data set from that data storage system to a destination data storage system that is different from that data storage system, and operating the metadata management system to create a new metadata entry corresponding to the execution of the data operation command. Each of the plurality of entries may include one or more custom tags, and the new metadata entry may include at least one custom tag created before the execution of the data operation command.

Abstract: Systems and methods for metadata tag inheritance are disclosed. The methods include maintaining a plurality of data storage systems in communication with an external metadata management system, operating the metadata management system to store metadata corresponding to data residing on the plurality of data storage systems as a plurality of entries, detecting an execution of a data operation command in a data storage system that causes movement of a data set from source storage location to a destination storage location in that data storage system, and operating the metadata management system to create a new metadata entry corresponding to the execution of the data operation command in response to detecting the execution of the data operation command. Each of the plurality of entries includes one or more custom tags, and the new metadata entry includes at least one custom tag created before the execution of the data operation command.

Abstract: Systems and methods for metadata tag inheritance are disclosed. The methods include maintaining a plurality of data storage systems including at least one tiered data storage system in communication with an external metadata management system, operating the metadata management system to store metadata corresponding to data residing on the plurality of data storage systems as a plurality of entries, detecting an execution of a data operation command in the tiered data storage system that causes movement of a data set from a source storage tier to a destination storage tier, and in response to detecting the execution of the data operation command, operating the metadata management system to create a new metadata entry corresponding to the execution of the data operation command. The new metadata entry includes at least one custom tag created before the execution of the data operation command.

Abstract: The arrangement and selection of digital content to present to a user can be based at least in part upon probabilities of the user selecting to view more information and/or entering into a transaction with respect to instances of the content. For example, user behavior with respect to various items provided through a content provider can be determined in order to calculate a probability that a user was searching for a particular type of item for a given search. The user behavior can include historical action data, such as information that indicates items that were selected in response to a particular search and/or items that were purchased in response to a particular search. The historical action data can be analyzed to generate an index that indicates a likelihood that the search was intended for a particular type of product. Additionally, the historical data can be used to train language models that can be used to determine a probability of interest for a particular type of product for a given search.

Abstract: An object is to efficiently generate a list of data elements that complement a given key element. A computer includes a memory and a controller, wherein the memory stores data, and the controller performs: selection processing of selecting data elements in vicinity of a predetermined data element as cooccurrence data elements; calculation processing of calculating a degree of importance of each cooccurrence data element; and presentation processing of presenting the cooccurrence data elements.

Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.

Abstract: There is described a system and computer-implemented method for providing a recommendation based on a sparse pattern of data. An exemplary method comprises determining a likelihood that an item for which no user preference data is available will be preferred. The exemplary method also comprises determining a likelihood that an item for which user preference data is available for users other than a particular user will be preferred based on the likelihood that the item for which no user preference data is available will be preferred. The exemplary method additionally comprises predicting that an item for which no user preference data relative to the particular user is available will be preferred if the likelihood that the particular user will prefer the item exceeds a certain level.

Abstract: Technical solutions are described to arbitrarily order and access email messages based on text analysis and social network analysis. One general aspect includes a system that includes an email server and an email client. The email server generates a topic map of email messages stored on the email server. The email server also generates a social map of users with accounts on the email server. The email server receives an email message from a first user, the email message directed to a second user. The email server sends the email message to a third user in response to determining that the email message is relevant to the third user. The present document further describes examples of other aspects such as methods, computer products.

Abstract: A system and method are disclosed for quickly and easily browsing to points of interest within a recorded video. In examples, the present system works in tandem with a segment list which includes a list of different video sequences of a stored video of an event. One typical example of a segment list is a play-by-play (PBP) which is prepared contemporaneously with a sporting event. Segments from a segment list may be associated with, or indexed to, corresponding sequences from the stored video. Thereafter, a user interface allows a user to interactively watch or browse the event by jumping to a desired point in the video for playback by selecting its associated segment from the user interface.

Abstract: In one embodiment, a method for cognitively filtering data in a storage environment includes generating a plurality of cognitive data filters based on one or more factors to create a plurality of groups. The method also includes cognitively filtering data received by a global data repository to place independent portions of the data into the plurality of groups using the plurality of cognitive data filters prior to receiving a query on the global data repository. Data within each of the plurality of groups share a common definable characteristic. Other systems, methods, and computer program products for cognitively filtering data within storage environments are presented in accordance with more embodiments.

Abstract: Techniques for performing query-dependent and content-class (e.g., with product class as a subset, in which content class can be based on a product class in an example implementation) based ranking are disclosed in accordance with some embodiments. In some embodiments, a process for performing query-dependent and content-class based ranking includes receiving a query for a search for content on a web site; performing a query-dependent and content-class based ranking of content available on the web site (e.g., using a processor); and returning a ranked list of content based at least in part on the query-dependent and content-class based ranking of content available on the web site in response to the query.

Abstract: A system and a computer program product are provided for evaluating question-answer pairs in an answer key by comparing a first answer key answer to a plurality of candidate answers to determine if the answer key may have a problem if the plurality of candidate answers are more similar to one another than to the first answer and to determine if the plurality of candidate answers has gradient information which may be used to update the answer key if not already included in the answer key.

Abstract: Implementations relate to relate to interface elements for directed display of content data items. In some implementations, a method includes causing a subset of content elements to be presented in a display view of a graphical user interface on a device, the set of content elements corresponding to a collection of content data items. Search topics are identified based on one or more content characteristics associated with content elements that are within a threshold distance of the subset of content elements in the display view. Topic elements are displayed in the interface, corresponding to the search topics. In response to a selection of a particular topic element based on user input, the collection of content data items is searched to identify resulting content data items that have content characteristics corresponding to the selected search topic. The display view is updated to present resulting content elements.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting textual representations for entity attribute values. One of the methods includes receiving, for presentation to a user, data identifying a relevant entity and a respective presentation attribute value for each of a plurality of presentation attributes associated with the relevant entity; obtaining user profile data for the user; selecting a respective textual representation for each of the presentation attribute values, wherein selecting the textual representations comprises selecting a first alternative textual representation for a first presentation attribute value based on the user profile data; and providing data identifying the entity and the textual representations for presentation to the user.

Abstract: A technique for use in analyzing multidimensional data is disclosed. In the technique, a subset of texts specified by a textual feature is selected from the multidimensional data. Each text of the subset is projected into a target image based on the corresponding spatial information to obtain a spatial distribution map for the textual feature. The similarity between the spatial distribution map for the textual feature and each property distribution map for each predefined property is determined. For the similarity exceeding a threshold, the textual feature is outputted as a notable textual feature.

Abstract: Disclosed are various embodiments for editable search. A computing device displays a term on a network page. The computing device then displays a search result on the network page, wherein the search result is related to the term. Later, the computing device displays an alternative term in response to a selection of the term. The computing device then sends a search query to a remote application executing on a remote computing device in response to a selection of the alternative term, wherein the search query includes the alternative term. The computing device subsequently updates the search result on the network page with a new search result related to the alternative term.

Abstract: An electronic device for receiving an account identifier is described. The device includes display; one or more processors; and memory storing one or more programs. The device displays a user interface that includes an area for receiving an account identifier and a first set of candidates for a first set of characters. The device detects a selection of a first candidate of the first set of candidates. In response, the device displays characters in the first candidate in the area. The device, subsequent to detecting the selection of the first candidate, receives a manual input of each character in one or more sets of characters; and displays, in the area, characters in the one or more sets of characters concurrently with at least the characters in the first candidate. A corresponding method and a computer readable storage medium storing one or more programs for execution by the electronic device are also described.

Abstract: An information handling system includes a memory to results for different search queries. The processing device communicates with the memory. The processing device generates signals for the first search query based on the first search terms, the user context, and behavioral data and interactional data from previous search queries, generates an overall result strategy for the search query based on the signals, determines a first set of results for the search query in response to a first probability that the first search query is directed to a first result strategy in the overall result strategy. The first set of results is a subset of a second set of results available for the first search query. The processing device also generates final results based on the first set of results, and to provide the final results as a response to the first search query.

Abstract: An electronic device, a keyword management device and a method are disclosed. The electronic device includes a processor that receives a keyword and a keyword search condition, transmits the keyword and the keyword search condition to a keyword management device to perform a search based on at least the keyword search condition, receives a search result from the keyword management device, and displays the search result and combines the search result, the keyword and the keyword search condition for subsequent retrieval. The keyword management device includes a processor that receives a keyword and keyword search condition from the electronic device, executes a search on at least one of a plurality of information providing servers utilizing the keyword and the keyword search condition, acquires the search result and combines the search result, the keyword and the keyword search condition for subsequent retrieval, and transmits the search result to the first electronic device.

Abstract: Provided are techniques for avoiding sentiment model overfitting in a machine language model. A current list of keywords in a current sentiment model can be updated to create a proposed list of keywords in a proposed sentiment model. Machine-generated sentiment results, based on the proposed sentiment model, are presented to identify model overfitting, without revising the current set of keywords. The proposed set of keywords can be edited, and when overfitting is not present, the current list of keywords is replaced by the proposed list of keywords.