Abstract: A computer-implemented method, system and computer program product for identifying equivalent technical terms. A deep learning model is trained to identify equivalent technical terms. The deep learning model is then applied to a new document. The sentences of the document are analyzed to identify technical terms. Text is then analyzed surrounding the technical term identified in the document to determine the meaning of such text. A glossary list is then reviewed to determine if the identified meaning of the analyzed text matches a meaning/concept in the glossary list linked to a technical term. In response to determining that the meaning of the analyzed text matches a meaning/concept in the glossary list linked to an equivalent technical term, the technical term in the document is annotated with the equivalent technical term. In this manner, non-standard equivalent technical terms in different documents with the same meaning/concept are able to be identified.

Abstract: Device and method for implementing a vehicle sharing reward program. The present invention provides for a cost-sharing plan where two or more constituencies share the rental cost associated with a user who rents a shared vehicle in a vehicle sharing program. This results in a reimbursement of the rental cost to the user. When enrolling in the vehicle sharing reward program, the user is given a health prescription to adhere to on any trip taken while using a shared vehicle. On a selected travel route, the user visits a vehicle sharing station, where the sharing station includes a kiosk that the user uses to check-in and upload relevant information such as distance traveled and locations visited. By complying with the health prescription issued to the user, the user can have its total rental cost reimbursed.

Abstract: An example operation may include one or more of creating a smart contract with a conditional result distribution schedule for one or more referral events performed by account profiles associated with approved sites, storing the smart contract in a blockchain, identifying the one or more referral events being performed on the one or more approved sites, and storing the one or more referral events in the blockchain.

Abstract: In an approach location allocation planning, one or more computing units determine at least one location matching model for a first current participating entity of a plurality of current participating entities of a current event, wherein an output of the location matching model indicates a matching degree between the first current participating entity and a current event location. The one or more computing units create at least one initial location allocation plan for the plurality of current participating entities of the event based, at least in part, on the at least one location matching model. The one or more computing units receive feedback from at least one of the plurality of current participating entities. Responsive to the feedback indicating acceptance of the initial location allocation plan, the one or more computing units determine a final location allocation plan based on the initial location allocation plan.

Abstract: Some embodiments of the present invention are directed towards techniques for building and using machine learning enhanced trees for automated solution determination in a technical support context. Historical technical support records with associated problems, actions and results are received and clustered. A solution determination tree is constructed from the clustered actions, and a machine learning model is trained to predict which action will lead to a solution based on an accumulated data set including a problem and subsequent results from previous actions. Using the solution determination tree and the machine learning model, classes of actions are recommended based on accumulated data for an incoming support request/problem or a result resulting from a executing a previously recommended action.

Abstract: A computer-implemented method for automatically adjusting a Uniform Resource Locator (URL) seed list. The method includes crawling for documents based on a seed URL list. The method generates relations data from the documents using a Natural Language Processing (NLP) model. The method analyzes the relations data using an auto-seed model. The method modifies the seed URL list.

Abstract: A plurality of slang sentences and respective explanations for the plurality of slang sentences are extracted from audio or video data. A set of training samples are generated by clustering the plurality of slang sentences and the explanations. Each of the training samples comprises at least one slang sentence and at least one explanation corresponding to same slang. A model is trained based on the set of training samples, such that the trained model identifies slang from an input sentence and provides at least one explanation for the identified slang. In other embodiments, another method, systems and computer program products are disclosed.

Abstract: A first natural language document is received. The document includes unstructured data and a first table structure that includes a plurality of first table entries. The first table structure is identified based on the document. The first table structure is extracted from the document in response to the identifying. A first machine learning output is generated based on a first machine learning model and from the document. A second machine learning output is generated based on a second machine learning model and from the first table structure. The first output of the document and the second output of the first table structure are combined.

Abstract: Embodiments for graph computing are provided. A graph including a plurality explicit nodes and at least one implicit node is generated. A first of the plurality of explicit nodes and a second of the plurality of explicit nodes are traversed between utilizing deductive reasoning. A third of the plurality of explicit nodes and a fourth of the plurality of explicit nodes are traversed between through the at least one implicit node utilizing inductive reasoning.

Abstract: A masking system and method for automatically masking sensitive user information on a webpage is provided. The method includes the steps of identifying a location of the first user data of the first type of sensitive user information on the webpage, updating an initial path to the first user data to account for changes to the initial path detected in response to repeated visits to the webpage, wherein the updated initial path to the first user data is stored as a stable path, locating a second user data associated with a second type of sensitive user information on the webpage, by accessing a central database containing path information to a location of the second user data on the webpage, and masking the first user data and the second user data on the webpage, using the stable path and the path information obtained from the central database.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for identifying advertisements in a video. The method includes obtaining a plurality of copies of the video and processing each of the plurality of copies of the video, wherein the processing identifies a plurality of iframes in each of the plurality of copies of the video. The method also includes comparing the plurality of iframes of each of the plurality of copies of the video. The method further includes identifying one or more common portions of each of the plurality of copies of the video one or more advertisement in the video, based on the comparison.

Abstract: Provided are systems, methods, and media for multiphase graph partitioning for malware entity detection. An example method includes receiving an input string associated with the malware entity. A determination is made as to whether the input string includes a symbolic word, a non-symbolic word, a symbolic phrase, or a non-symbolic phrase. A branching graph is formed based on a combination of the input string and a plurality of stored strings that are each associated with the malware entity to determine whether the input string is a valid detection name of the malware entity, in which the branching graph is formed by at least performing a first graph partitioning stage and a second graph partitioning stage. The input string is then labeled based on the formed branching graph and then outputted to a malware detection engine.

Abstract: Methods, systems and computer program products for flagging abnormal videos are provided. Aspects include training an image recognition model based on a plurality of images that depict one or more of a plurality of subjects. Aspects also include generating a normal subject relationship graph representing normal relationships between the plurality of subjects by applying the image recognition model to a plurality of training videos and a test subject relationship graph representing test relationships between subjects depicted in a test video by applying the image recognition model to the test video. Each normal relationship is associated with a strength value. Responsive to determining that a difference between a strength value associated with a first normal relationship and a strength value associated with a corresponding first test relationship exceeds a predetermined threshold, aspects include flagging the test video as being abnormal.

Abstract: A method, computer system, and a computer program product for crawling and extracting main content from a web page is provided. The present invention may include retrieving a HTML document associated with a web page. The present invention may then include identifying at least one entry point located in the retrieved HTML document by utilizing a self-adaptive entry point locator. The present invention may also include extracting a main content article associated with the retrieved HTML document based on the identified at least one entry point. The present invention may further include presenting the extracted main content associated with the retrieved HTML document to the user.

Abstract: Methods, systems and computer program products for flagging abnormal videos are provided. Aspects include training an image recognition model based on a plurality of images that depict one or more of a plurality of subjects. Aspects also include generating a normal subject relationship graph representing normal relationships between the plurality of subjects by applying the image recognition model to a plurality of training videos and a test subject relationship graph representing test relationships between subjects depicted in a test video by applying the image recognition model to the test video. Each normal relationship is associated with a strength value. Responsive to determining that a difference between a strength value associated with a first normal relationship and a strength value associated with a corresponding first test relationship exceeds a predetermined threshold, aspects include flagging the test video as being abnormal.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for identifying advertisements in a video. The method includes obtaining a plurality of copies of the video and processing each of the plurality of copies of the video, wherein the processing identifies a plurality of iframes in each of the plurality of copies of the video. The method also includes comparing the plurality of iframes of each of the plurality of copies of the video. The method further includes identifying one or more common portions of each of the plurality of copies of the video one or more advertisement in the video, based on the comparison.

Abstract: In an approach location allocation planning, one or more computing units determine at least one location matching model for a first current participating entity of a plurality of current participating entities of a current event, wherein an output of the location matching model indicates a matching degree between the first current participating entity and a current event location. The one or more computing units create at least one initial location allocation plan for the plurality of current participating entities of the event based, at least in part, on the at least one location matching model. The one or more computing units receive feedback from at least one of the plurality of current participating entities. Responsive to the feedback indicating acceptance of the initial location allocation plan, the one or more computing units determine a final location allocation plan based on the initial location allocation plan.

Abstract: A computer-implemented method and a computer system are proposed. According to the method, content and a rule are obtained. The rule specifies a condition associated with the content and an action to be performed if the condition is satisfied. A profile, instructions and chain code are determined at least based on the rule. The profile is used for recording a result of the action. The instructions are used for monitoring whether the condition is satisfied and for updating the profile. The chain code is used for operating a blockchain. In response to the condition being satisfied, the profile is updated and the updated profile is stored in association with the content and the rule into the blockchain by the chain code.

Abstract: A method, computer program product, and computing system device for receiving, on a computing device, a plurality of webpages. At least one webpage may be filtered from the plurality of webpages into at least one set of webpages using a decision tree algorithm. At least one remaining webpage may be filtered from the plurality of webpages into the at least one set of webpages using a supported vector machine (SVM) algorithm.

Abstract: A method, computer system, and a computer program product for a monitor security process is provided. The present invention may include configuring monitors in a chain configuration where sensors communicate with the monitors. The present invention may include receiving a first set of information from the sensor to a primary and backup monitor based on an event. The present invention may include broadcasting the information from the primary and backup monitor to a plurality of monitors and logging the information. The present invention may include receiving a second set of information from within the chain of monitors. The present invention may include determining that the sets of information conflict. The present invention may include marking at least one temporary log within the plurality of temporary logs as conflicting. The present invention may include determining that a conflicting threshold has been exceeded and then generate an audit and recovery plan.