Abstract: Techniques for distributed storage using a plurality of computing devices connected to a network can include storing an electronic file in a local storage layer of one of the computing devices. The stored electronic file can be asymmetrically transmitted, in portions, over the network to other computing devices to store the file across the other computing devices in a distributed storage layer. The electronic file can be asynchronously transmitted over the network to a cloud storage layer such that the electronic file is mirrored in the cloud storage layer. The local storage layer of each computing device can store, for each electronic file stored in the distributed storage layer, metadata having pointers to locations of the portions the electronic files stored in the local storage layer and distributed storage layer. The electronic files stored in the distributed storage layer can be displayed as stored in a single logical drive.

Abstract: A method of generating reports of one or more source systems associated with a worksite is provided. The method includes extracting information from the one or more source systems associated with the worksite. The method also includes processing the information extracted from the one or more source systems, defining a data warehouse based on the processed information related to the worksite. The method further includes generating reports of the one or more source systems associated with the worksite using a reporting tool.

Abstract: This system comprises methods that simplify the creation of multidimensional OLAP models from one or more semantically enabled data sources. The system also comprises methods enabling interoperability between existing OLAP end-user interfaces, the system's representation of OLAP and the underlying data sources. This includes web-enabled OLAP interfaces.

Abstract: Systems and methods disclosed herein associate forms with categories based on form features for non-text field characteristics or field-specific text characteristics of the forms. One embodiment provides a method for facilitating searching for a form by associating forms with categories based on form features. The method involves automatically associating, by a processor of a computing device, forms with respective categories based on form features for non-text field characteristics or field-specific text characteristics of the forms and storing the forms and the respective categories associated with the forms at an electronic form search server. Search results are provided from the electronic form search server based on input identifying a search category and a form is identified as a search result based on the form being associated with the search category.

Abstract: Disclosed aspects include a temporal relational database management system initiating a set of operations. A set of columns in a transaction time temporal table is identified for change categorization. A change categorization model is constructed. The change categorization model is based on a set of changes with respect to the set of columns in the transaction time temporal table. The change categorization model uses a cluster analysis technique. Based on the change categorization model, a group of change categories for a set of rows coupled with the set of columns in the transaction time temporal table is determined. Based on the change categorization model, a first change category of the group of change categories is established in a first row of the set of rows.

Abstract: Described herein are embodiments of systems and methods for document management for sharing documents according to document categories, wherein an author can generate a document for sharing, specify a document category for the document, and share the document or the category. Upon accessing a shared document by a recipient, the recipient may be prompted to access the most relevant document of the document category. The recipient may thus receive a link to a shared document and, upon invoking the link, instead of being directed to the shared document, may be directed to a subsequently authored, or otherwise more relevant document from the document category. The determination of relevancy may relate to the age of a document.

Abstract: A method for clustering product media files is provided. The method includes dividing each media file corresponding to one or more products into a plurality of tiles. The media file include one of an image or a video. Feature vectors are computed for each tile of each media file. One or more patch clusters are generated using the plurality of tiles. Each patch cluster includes tiles having feature vectors similar to each other. The feature vectors of each media file are compared with feature vectors of each patch cluster. Based on comparison, product groups are then generated. All media files having comparison output similar to each other are grouped into one product group. Each product group includes one or more media files for one product. Apparatus for substantially performing the method as described herein is also provided.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains validated training data containing a first set of content items and a first set of relevance tags, wherein the first set of relevance tags is used by one or more domain experts to identify the first set of content items as relevant to one or more topics. Next, the system uses the validated training data to produce a statistical model for classifying a relevance of content to the one or more topics. The system then uses the statistical model to generate a second set of relevance tags for a second set of content items. Finally, the system outputs one or more groupings of the second set of content items by the second set of relevance tags to improve understanding of content related to the one or more topics without requiring a user to manually analyze the second set of content items.

Abstract: A platform for socializing devices includes a knowledge database, a rules database, an event processor, an event queue, an advocate message processor, and an advocate message queue. A plurality of software advocates, each corresponding to a respective one of the devices, resides on the advocate message processor. The knowledge database includes a plurality of private social graphs, each corresponding to a respective one of the advocates. A policy database includes rules governing the relationships between and among the advocates and devices. The event processor is configured to process incoming payloads based on the knowledge database and the policy database.

Abstract: Disclosed aspects include a temporal relational database management system initiating a set of operations. A set of columns in a transaction time temporal table is identified for change categorization. A change categorization model is constructed. The change categorization model is based on a set of changes with respect to the set of columns in the transaction time temporal table. The change categorization model uses a cluster analysis technique. Based on the change categorization model, a group of change categories for a set of rows coupled with the set of columns in the transaction time temporal table is determined. Based on the change categorization model, a first change category of the group of change categories is established in a first row of the set of rows.

Abstract: An example method includes receiving a data set, each data point in the data set being associated with an indication of time, and a distance function, determining overlapping intervals over a time period range, identifying subsets of data in each overlapping interval based on the indications of time, applying the distance function to each subset of data to identify groups, constructing a node for each group to create a plurality of nodes, determining if two nodes of the plurality of nodes in adjacent time periods are connected by scoring shared data point membership between the two nodes and comparing a score of the shared data point membership to a threshold, and displaying at least two nodes with an indication of time, the two nodes being connected by a line based on the comparison of the score and the threshold.

Abstract: A user behavior recognition method, a user equipment, a behavior recognition server, and a behavior recognition system are presented, where the method includes acquiring, by a first user equipment, statistical distribution information of a target parameter corresponding to a target user behavior, where the target parameter includes at least one parameter in a behavior recognition model of the target user behavior, and the statistical distribution information of the target parameter is determined according to values of the target parameters in behavior recognition models of the target user behavior that are respectively corresponding to multiple other user equipment; and creating and saving, according to the statistical distribution information, a behavior recognition model of the target user behavior, to recognize the target user behavior.

Abstract: A method, system, and computer program product for subject-matter analysis of tabular data are provided in the illustrative embodiments. A first document including the tabular data is received. A library of functional signatures for a first subject-matter domain is selected. A determination is made whether a threshold number of functional signatures from the selected library are applicable to the tabular data, wherein a functional signature is applicable to the tabular data when values in the tabular data correspond to an operation and a table structure specified in the functional signature. Responsive to the threshold number of functional signatures from the selected library being applicable to the tabular data, a processor and a memory process the first document according to a process for the first subject matter domain selected from a plurality of processes for respective subject matter domains.

Abstract: Entity mappings that produce matching entities for a first data asset having attributes and a second data asset having attributes are generated by: generating entity mappings that produce matching entities for a first data asset having attributes with attribute values and a second data asset having attributes with attribute values by: matching the attribute values of the attributes of the first data asset with the attribute values of the attributes of the second data asset, using the matching attribute values to generate matching attribute pairs, and using the matching attribute pairs to identify entity mappings; computing an entity mapping score for each of the entity mappings based on a combination of factors; ranking the entity mappings based on each entity mapping score; and using some of the ranked entity mappings to determine whether a same real-world entity is described by the first data asset and the second data asset.

Abstract: A natural language query may be transformed to a transformed natural language while keeping sufficient semantic meaning such that the query may be transformed. A natural language query may be received by a computing device and sent to a natural language transformation model for transformation. The transformation may use a variety of techniques including stop word removal, stop structure removal, noun phrase/entity detection, key concept detection, dependency filtering. The techniques may be sequenced.

Abstract: Efficiency in monitoring documents is promoted by quantifying the priorities of the documents to be monitored. A document analysis system (1) includes: a score calculation unit (116) that calculates a score indicating strength of linkage between a document included in document information and a classification code indicating the relevance between the document information and a lawsuit or a fraud investigation; and a score report unit (701) that reports the score to a user according to the calculated score.

Abstract: Users in public forums often mention certain topics in the course of their discussions. Member's comments in messages to other members are analyzed to obtain terms that co-occur with topics. Frequencies of co-occurrence of a term with topics are normalized based on frequency of the term in a random sample of message. The terms are ranked by their normalized frequency of co-occurrence with a topic in messages. The top terms are selected based on their rank. Analysis of demographic information associated with members that mentioned top terms associated with a topic is displayed in graphical format that highlights the relationship between the age, gender, and usage of the top terms over time. The demographic information presented includes average age of members that mentioned a top term or their gender information within a selected time interval.

Abstract: The present disclosure relates to a method and system for automatic resolution of user queries by a query resolution system. The query resolution system receives user queries from a plurality of input sources, where the user queries are in a natural language. Further, the query resolution system determines user intent by analysing the user queries. Upon determination of user intent, the query resolution system resolves the user queries dynamically by performing one of providing a response for the user queries by retrieving information from one of a database and external data sources based on the user intent and routing the user queries to a query domain resource for resolving the user queries, where the query domain resources is determined based on the user intent.

Abstract: This string search method for a computer that searches documents for a specified string includes the following steps: a first step in which the specified string is divided into a plurality of characters or strings, including a first character or string and a second character or string; a second step in which a plurality of sets are created by grouping a plurality of documents in units; a third step in which a determination is made as to whether or not the first character or string appears in that set; a fourth step in which a determination is made as to whether or not the second character or string appears in that set; and a sixth step in which, if first appearance information and second appearance information were both added to one of the plurality of sets, namely a first set, a detailed search is performed on said first set.

Abstract: A computer system identifies high-value information in data streams. The computer system receives a filter graph definition. The filter graph definition includes a plurality of filter nodes, each filler node including one or more filters that accept or reject packets. Each respective filter is categorized by a number of operations, and the one or more filters are arranged in a general graph. The computer system performs one or more optimization operations, including: determining if a closed circuit exists within the graph, and when the closed circuit exists within the graph, removing the closed circuit; reordering the filters based at least in part on the number of operations; and parallelizing the general graph such that the one or more filters are configured to be executed on one or more processors.

Abstract: A method for assigning a topic to a collection of microblog posts may include, by an acquisition module, receiving from at least one messaging service server, a plurality of posts, wherein each of the plurality of posts comprise post content; by a generation module, analyzing the posts and extract, from at least one of the posts, a link with an address to an external document; and, by the acquisition module, accessing the external document that is associated with the address and fetch external content associated with the document. The method may also include by the generation module: analyzing the post content to identify at least one label for each post, for each post that includes a link, analyzing the external content to identify a topic, and using a topic modeling technique to generate a trained topic model comprising a plurality of topics and a plurality of associated words.

Abstract: Systems, methods, and media for identifying content are provided. In some implementations, systems for identifying content are provided, the systems comprising: at least one hardware processor that: receives content having audio; generates a representation of the audio of the content; performs a first database search based on the representation; performs a second database search based on text corresponding to words that are sung or spoken in the content; responsive to determining that the first database search yielded a match and the second database search yielded a match, causes a first indication that the content contains a known performance of known content to be output; and responsive to determining that the first database search failed to yield a match and the second database search yielded a match, causes a second indication that the content contains an unknown performance of known content to be output.

Abstract: This invention prevents a collation database from becoming bulky and shortening the delay time needed from person detection to registration in the collation database. An information processing apparatus comprises an acquiring unit which acquires a video, a detecting unit which detects a whole body or a part of a person from at least one frame of the acquired video, a tracking unit which tracks the whole body or the part of the person detected, and a registering unit which registers, in a database, a feature amount extracted from the whole body or the part of the person tracked during a first period from a timing of a start of tracking of the whole body or the part of the person by the tracking unit to a timing before an end of the tracking by the tracking unit.

Abstract: The present invention relates to an apparatus, a method and a computer program product for controlling a recommender system, wherein a user profile normally used by a recommender to predict user ratings is employed to generate a targeted query for the remote database yielding a set of results that can be scored by the recommender and provided as suggestions to the user.

Abstract: Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.

Abstract: A computer-implemented technique is described herein for modifying original keyword information to increase the probability that it will match the queries input by users. The technique operates by using a search engine to provide supplemental information that is relevant to the original keyword information. The technique then mines the supplemental information to extract frequently-occurring n-grams. Next, the technique removes n-grams that are considered to represent noise, and then uses a deep-structured machine-learned model to assign score values to the remaining n-grams. Finally, the technique supplements and/or replaces the original keyword information with the highest-scoring n-grams.

Abstract: A system and method for compiling search results is presented herein. A method can include gathering user behavior data, filtering the user behavior data, performing update calculations on the filtered user behavior data, using a decaying function to aggregate the filtered user behavior data; and facilitating the presentation of aggregated user behavior data. The user behavior data can include the user history for a plurality of users at an Internet-accessible site. The site can be an eCommerce site and the user history can include purchase and browsing history that can be used to determine a popularity of items sold by the eCommerce site. Facilitating the presentation can include displaying products in order of popularity. Other embodiments are also disclosed herein.

Abstract: According to various embodiments, the Translation Engine receives a current query in a first language from a target account. The Translation Engines determines a predicted product category for the current query from product categories of respective sets of historical queries from reference accounts. The Translation Engines determines a select translation of the current query in a second language based on the select translation triggering search results in the predicted product category.

Abstract: An enhanced method for indexing and retrieval of digital media entities is presented. Furthermore the method utilizes descriptive search queries and augmented digital media models for searching the digital media entities.

Abstract: Methods and systems for matching users include measuring a biometric state of a first user. The biometric state of the first user is matched to a set of biometric states of respective other users. The set of biometric states is limited in accordance with user preferences including how recently each biometric state was measured. A real-time connection is formed with a second user from the limited set of biometric states having a best match.

Abstract: The present invention provides an improved docket search and analytics engine for determining the outcome of a case for a particular entity or party, for predicting the outcome of a case for a particular entity or party, or for predicting the time to resolution of a case for a particular entity or party. More specifically, the present invention provides a system and engine for accessing and retrieving docket and other data from a plurality of databases and applying by one or more engines a set of models to the retrieved data to make a determination or prediction as to the outcome of a case for an entity or party involved in the case.

Abstract: Systems and methods have been developed for performing an advanced or detailed search based on information previously collected about a searcher's interests. In response to a search request, the searcher's interests are retrieved and inspected. In an embodiment, the interests may be obtained from multiple systems including those not associated with the search system. Based on the searcher's interests, the search request may be limited or otherwise modified from the actual request received. The results of the limited search may then presented to the searcher as the results of the requested search.

Abstract: A system, method and non-transitory storage medium to manage and process golf game data, golf player data, handicap data, golf team data, and golf course data so as to organize and manage team-based groups or golf leagues of extended duration where asynchronous golf game play during some periods and synchronous game play during other periods on real golf courses and potentially different golf courses is possible. Extensive grouping, scoring, and ranking of golf teams as well as qualification-based tournaments are provided so as to create previously unseen effects of creating a strong community of interest in golfing and increasing the enjoyment and frequency of golf play.

Abstract: There is provided a method that includes (a) receiving a request for access to data, (b) identifying a data store that stores the data, and (c) communicating with the data store, by way of an electronic communication, to access the data. There is also provided a system that performs the method, and a storage medium that includes a program module for controlling a processor to perform the method.

Abstract: A content recommendation system includes: a client terminal operated by a user; and a content recommendation server that recommends content to the terminal through a network and includes a preference discrimination information storage section accumulating and storing preference discrimination information in which information related to evaluation of content input to the terminal by a user and identification information of the user are associated with each other, a content feature information storage section storing content feature information in which data indicating features of content are associated with identification information of content, a preference information creation section creating preference information of each user by integrating evaluation for content with the feature of the content for each user based on the preference discrimination information and the content feature information, and a recommended content list providing section transmitting a list of recommended content, extracted by evalua

Abstract: A symbolic print-to-electronic media bridge system facilitates information flow across a computer network. Such a system can include a printed publication containing a print media instance with a printed symbolic key representation; a system agent with a media database having an electronic version of the print media instance stored therein; and a bridge agent having an output device and an optical input device to optically capture the printed symbolic key representation to provide a primary key. After such a capture, the bridge agent sends the primary key to the system agent, which references the electronic version and sends the same to the bridge agent for storage and subsequent output via the output device.

Abstract: A redirecting server generates interstitial web pages that redirect requests from user devices for alias URLs to corresponding destination URLs. The interstitial web pages tag user devices. In some embodiments the interstitial web pages include commands that provide cookies to the user devices. In some embodiments the interstitial web pages acquire ID characteristics from user devices. The cookies may persist on the user devices for some time and may cause information, for example in the form of banner advertisements to be displayed on the user devices. The information may be related to information contained in a resource identified by the destination URL. Some embodiments compile databases of concepts, keywords and/or key phrases represented in resources identified by the destination URLs. In such embodiments the concepts, keywords and/or key phrases may be associated with the alias URLs.

Abstract: Systems and methods are disclosed which facilitate dynamic generation of concatenated files. For example, one or more component contents may be dynamically joined or merged to create a concatenated content, while maintaining a formatting of the component contents. In one aspect, a content file, such as an HTML file, may include a link or reference to a multiple component contents to be included within a concatenated content. During rendering of the content file, a rendering device may transmit a request for the concatenated content to a concatenation server. The concatenation server may dynamically generate and return the concatenated content to the device. Thereafter, the concatenated content may be utilized within generated content, such as a web page. Illustratively, dynamic generation of concatenated content may facilitate use of concatenation techniques even where component content is dynamically determined or frequently changed.

Abstract: Systems and Methods are disclosed. One or more processors access, manage, modify, transmit, integrate, consolidate, reduce, organize, enhance, take action on, or a combination thereof, at least one data and data actions associated with a user. A presentation of data is provided that includes the data. The presentation may include a perpetually changing representation of data in accordance with time that provide visual spatial indication of data presented perpetually in accordance with the perpetual changing of Time. First electronic data event information representing a sending or receiving of data associated with at least one of a plurality of users is received and at least one of the data is organized and least some of the data actions are accessible. Data could be organized according to values of relevancy that are universally distinct and have continued importance.

Abstract: Visualizations of a serial process are provided. A process model of a serial process is constructed using an underlying statististical model. The process model represents each instance of the serial process as a series of interconnected nodes, wherein (i) the serial process includes a plurality of events; (ii) each node is associated with an event and a time at which the associated event occurred in an instance of the serial process; and (iii) connectors link nodes together to form the series of interconnected nodes, the connectors representing stages of serial process. The stages are scored and categorized into various categories based, at least in part, on the process model. One or more of the categories is associated with outlier stages. A visualization of the process model is presented such that the visualization associates the stages of the instances of serial process with respective categories.

Abstract: A apparel optimization system can present digital representations of apparel items in a user's wardrobe or at a store on an avatar built to resemble the user. The avatar can be sized to resemble the user, and the apparel items can be superimposed on the avatar. The system can provide outfit recommendations to the user based on the user's wardrobe, and visually display the recommended apparel items on the user's avatar. The system can also include providing future purchase recommendations based on seasonal, trend, and wardrobe composition data.

Abstract: Disclosed are some examples of database systems, methods, and computer program products for processing log files. In some implementations, log files can be accessed and identifiers can be generated for the data entries of the log files. The generated identifiers can be used to determine whether data entries in the log files are new, and therefore, should be extracted for analysis.

Abstract: A method includes receiving a plurality of design files at a computer-based system, wherein each of the design files is indicative of a respective structural design and a structural value associated with the respective structural design, causing a three-dimensional representation of at least a portion of the structural designs to be displayed to a user, causing a cost value to be displayed to the user for each of the displayed structural designs, receiving a user selection of a first structural design of the displayed structural designs, generating an additive manufacturing file indicative of the first structural design in a predefined format, wherein the predefined format enables the processing of the additive manufacturing file into a physical structure through an additive manufacturing process, and transmitting the selected first structural design in the predefined format.

Abstract: A method of designing or selecting an implantable medical device comprises the steps of: i) obtaining a plurality of measured data points of a characteristic of an anatomical feature of an individual; ii) using said data points to construct a surrogate model of said characteristic, the surrogate model being constructed by interpolating or regressing measured data points of the characteristic, and using said surrogate model to obtain predicted values of said characteristic at a plurality of locations; iii) using said predicted values to determine or select at least one value of a design parameter of the implantable medical device. There is further disclosed a method of monitoring or diagnosing a disease or disorder.

Abstract: Methods and apparatus for the sensor deployment.

Abstract: Systems and methods for use in the generation of layouts for spaces. User defined parameters are entered and, based on the user inputs and the system configuration, a layout for the space is provided. First, the space is defined in terms of dimensions and shape. Second, the desired areas or rooms are generated including areas for specific rooms as may be defined by user input. These rooms are then placed within the space. Constraints provided by the user input and system configuration are complied with when placing the rooms in the space. Third, corridors are determined to ensure that connectivity between rooms exist. Finally, the corridors are placed and the sizes of the various rooms are adjusted to account for the space used by the corridors.

Abstract: Computer based methods and systems for evaluating different building designs are disclosed. In one embodiment, the method involves generating a first set of different building massing configurations using a shape grammar, storing the generated first set of different building massing configurations in a building massing library, reducing the first set of different building massing configurations according to a parameter search to form a second set of different building massing configurations, the second set being a subset of the first set, and using the second set of different building massing configurations to evaluate an aspect of a building system.

Abstract: In one aspect, a method for tuning input parameters to a synthesis program is provided which includes the steps of: (a) selecting a subset of parameter settings for the synthesis program based on a tuning optimization cost function; (b) individually running synthesis jobs in parallel for each of the parameter settings in the subset; (c) analyzing results from a current iteration and prior iterations, if any, using the cost function; (d) using the results from the current iteration and the prior iterations, if any, to create combinations of the parameter settings; (e) running synthesis jobs in parallel for the combinations of the parameter settings in a next iteration; and (f) repeating the steps (c)-(e) for one or more additional iterations or until an exit criteria has been met.

Abstract: A method for generating training data. The method may include executing a simulation process. The simulation process may include traversing one or more virtual sensors over a virtual road surface defining a plurality of virtual anomalies that are each sensible by the one or more virtual sensors. During the traversing, each of the one or more virtual sensors may be moved with respect to the virtual road surface as dictated by a vehicle-motion model modeling motion of a vehicle driving on the virtual road surface while carrying the one or more virtual sensors. Virtual sensor data characterizing the virtual road surface may be recorded. The virtual sensor data may correspond to what a real sensor would have output had it sensed the road surface in the real world.

Abstract: A method of simulating a dynamic system includes receiving input data and applying the input data to a numerical forward model, and executing the forward model to simulate the dynamic system and generate solution data values. The method also includes, during execution of the forward model, comparing the solution data values to a pre-selected criterion. The method further includes, in response to at least one solution data value satisfying the pre-selected criterion, automatically generating a time mark for a time at which the at least one solution data value satisfied the pre-selected criterion and automatically outputting one or more solution data values associated with the time mark.