Abstract: A distributed search framework with virtual indexing is disclosed. According to some embodiments, a virtual index that includes a first physical index is created, where the first physical index includes a first number of shards. A request to index a document is received. In response to the request, whether the first physical index has reached a capacity threshold is determined. In response to determining that the first physical index has reached the capacity threshold, a second physical index is automatically created and added to the virtual index, where the second physical index includes a second number of shards. The document is added into the second physical index.

Abstract: According to one embodiment, a document search apparatus includes the following elements. The query word extraction unit extracts, from an input sentence, a word for use in a search as a query word. The intention estimation unit estimates a search intention based on the input sentence. The query generator acquires, from a search expression list, a search expression corresponding to the estimated search intention, acquires, from an additional query word list, an additional query word corresponding to a set of the acquired search expression and the extracted query word, and generates a query based on the extracted query word, the acquired additional query word, and the acquired search expression. The search unit searches for a document that matches the query.

Abstract: An approach is provided in which an information handling system parses content received from resources based on a user query corresponding to a user. Next, the information handling system selects a set of prioritized content from the parsed content based on a confidence ranking the plurality of parsed content. The information handling system then filters the set of prioritized content based on a learning style of the user and presents a summarized output of the filtered set of prioritized content to the user.

Abstract: A computer-implemented method determines a category of a request provided by a user by means of a user device. The user device includes connection means and means for receiving a request description relating to said request from said user. The method includes receiving, from the user, the request description, by means of the device, and uploading the request description to a server. The server has access to a database which includes a number of previously categorized requests each including a category and a vocabulary, which includes a number of word vector representations. The method further includes identifying, by the server, a number of component words belonging to a natural language text string included in the request description; obtaining, for at least one of the component words, an associated word vector representation from the vocabulary, and determining a request vector, based on at least one obtained word vector representation.

Abstract: A user reading statistic data set relating to a natural language document is received. The user reading statistic data set includes information indicative of at least one of a set of user reading statistic types. A set of machine logic rules is applied to the user reading statistic data set to generate, as reading assistance to the reader with reading the natural language document, a user reading comprehension data set including information indicative of reading comprehension with respect to content of the natural language document.

Abstract: A digital magazine server generates a digital magazine for user based on a received request for the digital magazine identifying one or more topics. The digital magazine server applies one or more machined trained models to obtained content items to select content items for the topic. A hierarchy of the topics included in the received request may be determined by the digital magazine server and used by the trained models to select content items. When generating the digital magazine, the digital magazine server also includes one or more editorial content items that are manually selected. The digital magazine server may reposition one or more content items selected by the trained models to include an editorial content items.

Abstract: Method and systems for interactive research report viewing are disclosed. The method includes receiving a user request to access a research content in a report viewing platform present in a user device. The method includes causing display of the research content in the report viewing platform. The method includes provisioning one or more interactive tools in report viewing platform to be used by a user of the user device. The method includes receiving at least one user interaction input to the research content using the one or more interactive tools. The at least one user interaction input comprises an insight note provided into the research content. The method includes receiving a sharing request to share the research content with the at least one user interaction input with at least one contact of the user. The method further includes sharing the research content with at least one contact of the user.

Abstract: A multi-document summary generation method includes obtaining a candidate sentence set, training each candidate sentence in the candidate sentence set using a cascaded attention mechanism and an unsupervised learning model in a preset network model, to obtain importance of each candidate sentence, selecting, based on the importance of each candidate sentence, a phrase that meets a preset condition from the candidate sentence set as a summary phrase set, and obtaining a summary of a plurality of candidate documents based on the summary phrase set.

Abstract: A system verifies textual claims using a document corpus. The system includes a memory for storing program code and a processor device for running the code to retrieve documents from the corpus based on Term Frequency Inverse Document Frequency (TFIDF) similarity to a set of textual claims. The processor extracts named entities and capitalized phrases from the textual claims. The processor retrieves documents from the corpus with titles matching any of the extracted named entities and capitalized phrases. The processor extracts premise sentences from the retrieved documents. The processor classifies the premise sentences together with sources of the premises sentences against the textual claims to obtain classifications from among possible classifications including a supported, an unverified, or a contradicted classification.

Abstract: The present invention is directed to a system and method for organizing notes. The invention includes a main list to take notes. The main list having multiple subjective headers and a note can be taken below a header subjectively related to the note. Each header is further associated with a sub-list and the notes from the main list can be moved to the sub-list based on delimiters separating the notes.

Abstract: Embodiments build a knowledge base that includes a list of acronyms and their expansions. The list of acronyms may be associated with a particular organization, e.g. a product team, such that the acronym may have a different meaning to a different organization. In some embodiments, acronyms and their expansions are extracted from artifacts associated with the organization, e.g. documents, emails, attachments, calendar items, etc. Multiple potential definitions identified within the artifacts may be ranked based on contextual data extracted from the artifacts, e.g. who authored the artifact, when was the artifact modified, how often did the author use the acronym, an author's rank in the organization, how long has an author been part of the organization, an author's relationship to other authors, etc. By basing the analysis on artifacts associated with the organization the resulting definitions may be more accurate than if broader resources, such as dictionary definitions, were used.

Abstract: The improved exercise of artificial intelligence by systematically refining and semantically indexing the output from AI models, so that the semantic index is highly relevant. To do this, the computing system obtains results of an input data set being applied to an AI model. The computing system then determines a refinement to apply to the obtained results. This determination may be based on one or more characteristics of the AI model and/or input data set. The determination may also be based on hints associated with that AI model, and/or learned behavior regarding how that AI model is typically used. The obtained results are then refined using the determined refinement. It is then this more relevant refined results that are semantically indexed to generate the semantic index. Thus, the semantic index represents, the more useful output from an AI model, which is semantically exposed so as to provide meaning.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: Non-limiting examples of the present disclosure relate to automated presentation control during presentation of one or more digital documents. Processing operations described herein may be configured to work with any type of application/service, where examples described herein extend to presentation of any type of digital document(s) including slide-based presentations. Speech signals may be detected while a digital document is being presented. The detected speech signals may be converted to text. The converted text may be matched with contextual data (e.g., pre-processed content) associated with the digital document. Probability scoring for determination of a next placement position of a digital document may be generated based on the matching of converted text with the contextual data of the digital document. The next placement position may be selected based on the generated probability scoring. Display of the digital document may be automatically updated to reflect the selected next placement position.

Abstract: Content management server receives requests for geographically restricted domains and generates unique registrant identifiers responsive to the request based on the physical geographic location of the registrant and a related proximity condition. Each of the unique registrant identifiers identifying a registrant content server, and each of the registrant content servers storing content associated with the corresponding unique registrant identifier. The content management server receives queries from user devices, and the queries indicate a geographic location. The content management server identifies geographically relevant registrant content servers based on associated unique registrant identifiers relative to satisfied proximity conditions. The registrant content servers may communicate geographically relevant content objects to user devices.

Abstract: A method and an apparatus for storing a resource and an electronic device are provided. The method includes: extracting a resource with a storage size exceeding a preset capacity threshold, and backing up the extracted resource to a cloud server; obtaining link address information of the resource backed up to the cloud server; performing a clip processing on the extracted resource, and encapsulating the link address information corresponding to the extracted resource into the clip-processed resource; and replacing the extracted resource stored in an electronic device with the encapsulated resource.

Abstract: This application is directed to a method for automatically identifying and transferring relevant image data implemented at a server with a processor and memory including one or programs executable by the processor. The server obtains content items from a personal content collection of a user, analyzes the content items to identify attributes associated with the images, generates rule sets based on the identified attributes, applies the generated rule sets to a plurality of unclassified images, identifies a first set of one or more of the unclassified images, associates each image of the first set with the content items and stores the first set in the personal content collection. A second set of unclassified images is placed in a candidate list to be periodically, without user intervention, monitored and updated for storing in the personal content collection. The generated rule sets are updated after images are stored in the content collection.

Abstract: A system for object recognition in an autonomous vehicle includes non-transitory memory storage for storing instructions and an image feature database. One or more processors are in communication with the memory. The one or more processors execute the instructions to download a road object database associated with routes between a departure point and a destination. Sensor data is received from a plurality of sensors of the autonomous vehicle and compared to data in the road object database. If the sensor data is not found in the road object database, the sensor data is compared to data in the image feature database. If the sensor data is not found in the image feature database, it is transmitted over a wireless channel to an Internet-coupled database. The sensor data is interpreted based on at least one of the road object database, the image feature database, or the Internet-coupled database.

Abstract: Disclosed herein are, among other things, systems and methods for providing digital content for multiple venues to mobile devices. In some embodiments, venue location data defining a geographic boundary of each of a plurality of venues and venue content data for a plurality of different attractions associated with the venue is stored. A processing device system may be configured to determine a current location of the mobile device, and provide at least some of the venue content data based at least on an analysis of the venue location data, or attraction location data, and the current location.

Abstract: Systems and techniques for generating and/or configuring a similarity heat map representative of similarities between two data sets are presented. The system can include an input component, a similarity component and a mapping component. The input component receives a first data set associated with a first media item and a second data set associated with a second media item. The similarity component computes similarity between a data value of the first data set and a corresponding data value of the second data set. The mapping component configures a data point of a similarity map to represent a match between the data value and the corresponding data value in response to a determination that information associated with the similarity does not match previously determined information associated with another similarity between another data value of the first data set and another corresponding data value of the second data set.

Abstract: In a video surveillance system comprising a plurality of recording servers, each storing video data received from at least one video surveillance camera, a method of processing requests for thumbnail images comprises receiving a thumbnail request to a main queue 200. The thumbnail request includes information indicating a specific video camera and a specific recording server. The thumbnail request is allocated to a recording server queue 250 corresponding to the specific recording server. It is determined whether an idle resource processor 260 associated with the recording server queue is available to process the thumbnail request. If no idle resource processor is available, then it is determined how many resource processors are associated with the recording server queue and, if this is less than a maximum number, a new resource processor is initiated for processing the thumbnail request and the new resource processor is put into an idle state after processing the thumbnail request.

Abstract: Efficient distributed indexing of clumpy data is disclosed. For example, a plurality of data stores store a plurality of data objects, where a plurality of data references to each of the plurality of data objects is recorded on a distributed index and an index manager executes a processor to temporarily partition a namespace of the plurality of data references into a plurality of temporary partitions. A respective count of data references in each temporary partition is computed. A trend line approximating a distribution of data references is calculated based on the respective counts. A cumulative representation of the distribution of the respective counts is calculated based on the trend line. The namespace is repartitioned based on the cumulative representation resulting in a repartitioned namespace, where the distributed index is divided into index segments based on the repartitioned namespace.

Abstract: The present invention is a method for providing camouflaged, customized, synthetic data events and data points masquerading as true data events or data points, and for subsequent detection of such camouflaged data. Synthetic data as used herein is capable of iterative regeneration to provide customized identifiers for distribution to specific purchasers of data. The relationship between a particular data feed with a particular synthetic identifier and the identity of the user to which it was sent would be stored in the original data collector's centralized server for later reference.

Abstract: An interaction control method performed by a computer includes: executing a selection process that includes selecting any of one or more of interaction blocks generated by decomposing content into interaction units, and outputting the selected interaction block; executing a determination process that includes determining a reaction of a user to the outputted interaction block; and executing a response process that includes selecting a next action of the determined reaction based on a result of the determination process.

Abstract: One or more computing devices, systems, and/or methods for auto-generating subject suggestions are provided. For example, a set of n-grams are generated from text within an email body of an email being composed by a user and/or from descriptive information of attachments to the email. Features of the set of n-grams are identified, such as a date feature, a proper noun feature, an activity feature, a number of words feature, etc. Classifiers are used to assign probabilities to the n-grams based upon the features. A probability may specify a strength of an n-gram in relation to a user preference of the user for an email subject derived from the n-gram. In this way, an email subject suggestion is generated based upon a target n-gram with a probability exceeding a threshold. The email subject suggestion is provided to the user, such as during email composition or during sending of the email.

Abstract: A method of providing decisions to user queries includes: receiving, by at least one processor, a query transmitted from a client device; identifying, from a query database, a first query model; applying, by the at least one processor, the identified first query model to multiple user experience data entries from a user experience database, to obtain at least one correlation resulting from the application of the first query model to the multiple user experience data entries; and identifying, by the at least one processor, an answer to the query from the at least one correlation.

Abstract: A method, computer system, and a computer program product for sequential pattern mining is provided. The present invention may include receiving a data mining parameter. The present invention may also include computing a plurality of frequent sequences without temporal annotations based on the received parameters. The present invention may then include extracting a subsequence with temporal annotations for each frequent sequence based on the computed plurality of frequent sequences. The present invention may further include clustering a plurality of temporal intervals using a time window based on the extracted subsequence. The present invention may also include producing an output based on the cluster of plurality of temporal intervals.

Abstract: A parameter optimization method includes: a parameter search is performed on an input parameter, an output response value and a target value through a plurality of optimization schemes to search for a plurality of candidate recommended parameters. Each optimization scheme is assigned to a weight value according to user historical decision information. At least one recommended parameter is selected from the candidate recommended parameters according to the weight values. An user interface is provided for a user to input a decision instruction. A new input parameter is selected from the at least one recommended parameter according to the decision instruction; the new input parameter is inputted into the target system; and a new output response value is evaluated whether meets a specification condition. The user historical decision information is updated based on the decision instruction to adjust the weight values.

Abstract: Systems and methods for indexing blockchain data in a blockchain system so that search may proceed more quickly, efficiently, and reliably in all of the blockchain peers. These systems and methods receive a set of transactions from one or more transaction blocks of a blockchain, wherein the transactions in the set have been validated by one or more peer systems of the blockchain. The systems and methods further generate an index to one or more fields of one or more transactions in the set of transactions of the transaction block generate an index representative of at least one field in the set of transactions of the transaction block and provide the generated index for validation by a peer system of the blockchain. After receiving verification from at least a threshold number of peer systems that the generated index has been validated by the peer system, these systems and methods store the generated index as an index block in the block chain.

Abstract: The present disclosure includes apparatuses and methods for proactive corrective actions in memory based on a probabilistic data structure. A number of embodiments include a memory, and circuitry configured to input information associated with a subset of data stored in the memory into a probabilistic data structure and proactively determine, at least partially using the probabilistic data structure, whether to take a corrective action on the subset of data stored in the memory.

Abstract: A method, system and computer readable program storage device for facilitating a collaboration experience. In embodiments, the method comprises identifying a group of people for a specified collaboration experience; identifying specified conditions and preferences for the group of people; using the identified specified conditions and preferences for the group of people for determining an environment for the specified collaboration experience and one or more factors for improving the specified collaboration experience; and sending a specified set of information to one or more prospective collaboration entities to determine if any one of the prospective collaboration entities has the determined environment for the specified collaboration experience.

Abstract: A computer-implemented software system and method allows data-processing entities to visualize data as pseudo-three-dimensional objects dynamically and interact with and/or manipulate the objects.

Abstract: An environment information storage and playback method, a storage and playback system, and a storage and playback terminal are disclosed. The storage and playback method may include: acquiring current position data and time data (S101); collecting current environment data (S102); establishing a first association between the environment data and the position data, and establishing a second association between the environment data and the time data (S103); storing the position data, the time data, the environment data, the first association, and the second association (S104). The present storage and playback method could store the current environment data based on position and time.

Abstract: Receiving contextual data including a facial movement associated with an active document. A response associated with the active document is detected and associated with the received contextual data. A contextual metadata tag is generated based on the detected response to the active document. A contextual keyword is created that corresponds to the contextual metadata tag. Search results received in response to the query are filtered based on the contextual metadata tag.

Abstract: Systems, methods, and non-transitory computer readable media are provided for using linked documents. A system may receive, from a computing device, a request for a document. Content of the document may be defined based on state information and stateless information. A system may determine a local replica of the document in a local database. The local replica of the document may be linked to a primary replica of the document. The local replica of the document may include a snapshot of the primary replica of the document. The primary replica of the document may be stored in a remote database which may be accessible through a remote server. The system may subscribe to the primary replica of the document through the remote server, and may provide access to the document to the computing device based at least in part on the subscription to the primary replica of the document.

Abstract: Methods, computer systems and computer readable media for receiving data and information from medical devices in a healthcare setting are provided. In embodiments, an indication that a bolus is being administered to a patient in association with the infusion is received. Accordingly a graphical indication the bolus is running is provided, the indication causing a volume remaining and the rate of the infusion to be temporarily masked until the bolus is completed. In embodiments, a graphical indication is provided that indicates an infusion is being administered.

Abstract: A method, system and a computer program product are provided for obscuring web searches by performing cognitive analysis on one or more user search inquiries from a first user to identify a user search behavior profile for the first user, and then generating one or more obfuscating search inquiries consistent with the user behavior search profile for the first user for issuance with the user search inquiries to impair the search engine from accurately characterizing search information related to the first user.

Abstract: A user device sends a search query for an item to a first data store associated with a first entity, wherein the item comprises at least one of an electronic version or a physical version, determines a format to be used by search queries to the second data store and generates a first modified search query for the second data store that is different than the search query and corresponds to the format. The user device sends the first modified search query to the second data store, receives item search results from the first data store and item search results from the second data store, the item search results indicating at least one of: the electronic version is available from an electronic location, the physical version is available at a physical location, or the physical location at which the physical version is available, and causes presentation of at least a portion of the item search results from the first data store together with at least a portion of the item search results from the second data store.

Abstract: The present disclosure provides novel techniques to derive characteristic of mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a data file is built for each mobile entity to transform originally extremely high dimensional raw data derived from mobile devices communicating with a network into structured data characterizing associated mobile entities. The data file are structured for filtering and searching with respect to location and non-location features. A plurality of filters for a behavioral segment are applied to the data files of a large number of mobile entities. The plurality of filters including a preset hard constraint (HC) filter, a preset soft constraint (SC) filter, and an extended constraint (EC) filter built using location features in data files that have passed through the HC filter and/or the SC filter.

Abstract: A data set integration system receives a data set that includes a user identifier and a message type code. The integration system selects a terminal profile from a profile database. The selected terminal profile is associated with the user identifier and includes a tracking identifier. The integration system locates the tracking identifier in the selected terminal profile. The integration system selects an object profile from a data repository. The selected object profile is associated with the located tracking identifier and includes the located tracking identifier and an associated counter. The integration system updates the counter in the selected object profile in accordance with a value of the message type code.

Abstract: Techniques for improving access to and interactions with bots are described. In an example, a first bot, hosted on a computing system, may identify an action to be performed for a user associated with a computing device. The action may be identified based on a user interaction with the first bot, where the user interaction may be provided from the computing device. The first bot may select a second bot based on the action. The second bot may be hosted on a same or a different computing system. The first bot may determine, based on a previous user input to the first bot, a parameter value for an execution of the action and may send the parameter value to the second bot. In response, the first bot may receive a result of an execution of the action and may provide information about the result to the computing device.

Abstract: Disclosed herein are methods and systems that relate to an “activity assistant” that provides users with dynamically-selected “activities” that are intelligently tailored to the user's world. The subject technology receives the one or more global parameters of one or more selected activities. The subject technology further receives the one or more account-specific parameters of a selected user account. For the selected user account, and for each of the one or more selected activities, the subject technology: (a) determines one or more signals based at least in part on one or more of the global parameters of the selected activity and one or more of the account-specific parameters of the selected user account, and (b) uses the determined signals as a basis for determining an importance of the selected activity for the selected user.

Abstract: A third party website provides a search interface to a general search engine. A site profile of the third party website describes various topics, keywords, or domains that are potentially relevant or of interest to users who access the third party website. The topics are associated with a topical directory, with domains associated with each topic; the domains in a given topic are given various weightings. When a search is submitted to the general search engine from the third party website via the search interface, the general search engine uses the site profile to customize the search results. The search results are customized by weighting the ranking of documents from websites associated with the topics in the site profile. The site profile can be manually or automatically constructed.

Abstract: A system and method for filtering search results to exclude technically incompatible devices with a user's existing IoT network includes analyzing the search query to determine an objective of a user, calculating a relevance score for each IoT device, profiling an existing IoT network associated with the user, determining a compatibility of each IoT device with the existing IoT network, combining the relevance score and an ease of incorporation score to determine a total score, and filtering the search results for the IoT devices according to the total score, such that an optimal device is displayed at a top of the search results from the search engine on a webpage among other IoT devices that are above a minimum ease of incorporation score and removing other IoT devices from the search results displayed on the webpage that are below the minimum ease of incorporation score.

Abstract: A method, system and computer program product for improving the discoverability of messages on a social network. The creation of a proposed message that requests a response from a target audience is detected. The social network is then searched to identify search terms and posts related to the proposed message. Upon identifying the search terms, the search terms are ranked in order of usage among the identified posts. A list of identified search terms in order of rank is then presented to the user to modify the proposed message. The proposed message is modified using a search term selected by the user from the list of search terms. The modified message is then posted on the social network. In this manner, the message created by the user has been modified to improve the discoverability of the message on the social network and to increase responses from an appropriate target audience.

Abstract: A method and system for improving a network search query is provided. The method includes executing a real time search with respect to a database associated with an Internet based search for specified digital information. Digital attributes of digital data identified during the real time search are identified and keywords associated with the digital attributes are ranked. In response, search based software code associated with an Internet search for the digital information is generated and associated real time user interactions are recorded. The search based software code is modified resulting in generation of modified search based software code. The modified search based software code is executed and relevant results associated with the Internet based search are presented via a GUI. The database is configured such that the modified search is stored within a logical partition of the database.

Abstract: A method for generating a sentiment map user interface is presented. The method may include collecting a plurality of content data, whereby the plurality of content data includes an original message and at least one response. The method may include collecting a plurality content path data. The method may include determining a plurality of user sentiment data based on the collected plurality of content data. The method may include generating the sentiment map user interface based on the determined plurality of user sentiment data and the collected plurality of content path data, whereby the generated sentiment map user interface includes a plurality of user icons indicating a user sentiment, and whereby the plurality of user icons are positioned within the generated sentiment map user interface based on the collected plurality of content path data. The method may include presenting the generated sentiment map user interface to a user.

Abstract: A method, system and computer program product for assisting a user to meet with other users with complementary attributes. Attributes (e.g., likes, dislikes) of a user, such as a user of a mobile device, are received to populate a profile of the user. The user attributes of profiles of actively participating users that are located in a geographic area are analyzed with respect to the attributes of the user to identify other users with complementary profiles. Those users with complementary profiles as the user are clustered to form a “cluster” at a designated waypoint. Directions are then provided to the user to reach the designated waypoint to meet the other users of the same cluster. In this manner, the user is able to meet other users in the physical world with complementary interests and experiences at a designated waypoint.

Abstract: Systems and methods for providing notifications based on geofencing search results are provided. In particular, in response to a search query from a user, a plurality of search results can be determined. One or more physical search results having an associated geographic location can be determined from the plurality of search results. A geofencing search result can be generated for at least one of the physical search results. The geofencing search result can include data for establishing a geofence proximate to the geographic location by a user device associated with the user. Upon selection of the geofencing search result by the user, the geofence can be established by the user device. Upon detecting entry into the established geofence, the user device can provide one or more notifications associated with the geofence and/or the search query to the user.

Abstract: There is provided a method of creating an augmented reality image, comprising: capturing by an imaging sensor of a mobile device, a two dimensional (2D) image of a three dimensional scene (3D) comprising objects and pixel neighborhoods, selecting with a graphical user interface (GUI) presented on a display of the mobile device, pixel(s) of the 2D image corresponding to a certain object, computing a 3D geo-location of the certain object corresponding to the selected pixel(s) of the 2D image, wherein the 3D geo-location includes an altitude relative to sea level, and wherein the 3D geo-location is geographically distinct and spaced apart from a location of the imaging sensor outputted by a location sensor, and creating a tag for the selected pixel(s) of the certain object of the 2D image according to the computed 3D geo-location within a virtual grid, wherein the tag maps to media-object(s) correspond with real world coordinates.