Abstract: A cluster selector may determine a plurality of sample clusters, and may reproduce the plurality of sample clusters at each of a plurality of processing cores. A sample divider may divide a plurality of samples stored in a database with associated attributes into a number of sample subsets corresponding to a number of the plurality of processing cores, and may associate each of the number of sample subsets with a corresponding one of the plurality of processing cores. A joint operator may perform a comparison of each sample of each sample subset at each corresponding core of the plurality of processing cores with respect to each of the plurality of sample clusters reproduced at the corresponding processing core, based on associated attributes thereof.

Abstract: Automatically classifying content into a given project workspace is provided. New electronic mail items, documents, meeting requests, tasks, calendar items, and the like are automatically classified into a project workspace. Thus, a user is not required to engage in a time-consuming task of identifying, collecting, and associating such content with a given project workspace. In addition, feedback may be provided to the user on the quality of automatic assignments of content items to the desired workspace for editing content associated with the desired workspace and for improving the automatic classification process.

Abstract: A system and method for providing incentives to consumers to share their consumer information with third parties is provided. According to one aspect of the present invention, a method is provided which includes the steps of: accepting consumer information; storing the consumer information; requesting permission from the consumer to share their consumer information with a third party; and offering the consumer a selected incentive in exchange for their permission to share their consumer information.

Abstract: Computer-storage media, methods, and systems for mapping a previously submitted query to category(s) and for rendering the category(s) in visual association with the query are provided. Generally, the query is assigned the category(s) by employing one or more categorization processes. One categorization process involves selecting entity(s) that capture a topic inherent to the query, identifying the category(s) that encompass the subject matter of the entity(s), respectively, and generating a mapping between the identified category(s) and the query. Here, the entity(s) operate as a semantic representation of the query. Another categorization process involves inferring a logical description underlying the query, and identifying specific and general category(s) that are semantically related to the inferred logical description. Upon detecting an indication to view past queries, any combination of the specific category, the general category, and the query mapped thereto is presented concurrently to the user.

Abstract: An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.

Abstract: A system for organizing computer data by the use of naming rules, grouping rules, and sequencing rules. These rules name and sort data in a consistent and convenient manner, which can, in part or whole, be employed by a human, computer, or both.

Abstract: During application of data quality rules to a data set obtained from a data source, data is retrieved from the data source along with a common set of rules configured to format the retrieved data in a manner in accordance with one or more predefined data quality rules of the common set of rules. At least one predefined data quality rule is adjusted utilizing at least one editable widget to form a modified set of data quality rules adapted for use with a specified application. The modified set of data quality rules is applied to the retrieved data.

Abstract: In an automatic electronic discovery search tool, emails subject to a litigation hold can be clustered using collaborative information rather than the contents to speed the review process. Collaborative information may include non-content fields such as the sender or recipient of a document or message. Documents may then be reviewed as a group based on the collaborative information, or further filtered in accordance with desired criteria.

Abstract: The present disclosure discloses a method of providing suggested terms. The method includes: receiving an initial query input from a user, and obtaining corresponding suggested queries based on the initial query; determining at least two categories corresponding to the suggested queries and at least two clickable regions usable for looking up the suggested queries; separately determining a category weight associated with each obtained category in each clickable region for the suggested queries, and a click attribute weight associated with each clickable region; computing a degree of confidence of each category for the suggested queries; and separately determining target categories for the suggested queries based on the degree of confidence of each category for the suggested queries. As such, the user may quickly identify his/her search intention based on the target categories corresponding to the suggested queries, thereby effectively improving the speed of information searching.

Abstract: A system and method for generating a virtual tour on a display device is described. The method comprises providing at least one map. The method further comprises providing a plurality of sequenced images, wherein each of the images is associated with at least one location by a geo-coding module configured to generate a geo-location object data sheet that associates sequential images with a corresponding location. The sequenced images are organized based on the location of each of the sequenced images and displayed on the map. The method is implemented by the system.

Abstract: A user may submit product title information to a server. The server may generate a phrase based on the product title information. The server may then search a database to find relevancies between the phrase and product categories corresponding to multiple nodes in a product category tree. Based on the relevancies, the server may select a node from the multiple nodes. The server may associate the product title information with the node corresponding to a product category when the node is a leaf node of the product category tree.

Abstract: Embodiments of the invention provide a novel and non-obvious method, system and computer program product for generating a document taxonomy based upon tag data in groupings of tags. In an embodiment of the invention, a method for generating a document taxonomy based upon tag data in groupings of tags has been claimed. The method includes retrieving into memory of a host computer different groupings of tags for correspondingly different documents providing a bottom-up view of the documents. The method further includes deriving a folksonomy from the groupings of tags for the documents and organizing the folksonomy into a hierarchy of nodes. Of note, each of the nodes can be associated with a different subject in the folksonomy. Finally, the method includes publishing the hierarchy of nodes as a taxonomy for the documents to provide a top-down view of the documents.

Abstract: Document cluster ranking systems and methods of ranking document clusters are described. In some example embodiments, the method comprises: obtaining, at a document cluster ranking system, a value associated with a first feature for each of a plurality of document clusters; based on the values associated with the first feature, automatically generating, at the document cluster ranking system, a plurality of first feature bins, each first feature bin defining a range of values and a bin identifier; and obtaining a score for one of the document clusters, by: i) identifying the first feature bin having a range of values which includes the obtained value associated with the first feature for that one of the document clusters; and ii) determining a score for that document cluster based on the first feature bin identifier for the identified first feature bin.

Abstract: A system and method for organizing things (including persons, creatures, objects, thoughts, affairs, circumstances, actions, events, objectives, tasks, statements, attitudes, emotions, symbols, ideas, and information) using various relationships. Such a system and method may be used for documenting, searching, networking, and connecting, either individually or collaboratively. Such an Event Networking system, which encompasses events, persons, objects, activities, emotions, interests, etc., can be organized in relation to time, location, etc.

Abstract: There is provided an information processing device including a display control unit configured to display pieces of content at a first position of a screen, a condition setting unit configured to set a clustering condition for the pieces of content in accordance with a user operation, and a clustering unit configured to classify the pieces of content into a cluster in accordance with the clustering condition. The display control unit moves a display of the pieces of content from the first position toward a second position corresponding to the cluster.

Abstract: In an example of operation log management system, a storage device stores a plurality of operation log records obtained from an operation log in a client computer. The plurality of operation log records each contains an operation type of a corresponding operation and a group identifier for identifying a group to which the corresponding operation belongs. Each of at least a part of the plurality of operation log records contains at least one of identifiers of input data and output data of a corresponding operation. A processor groups the plurality of operation log records into groups by the group identifiers, identifies operation log records which belong to different groups and whose output data identifier and input data identifier match, and associates the different groups to which the identified operation log records belong as components of one integrated group. A display device displays information representing the integrated group.

Abstract: In various example embodiments, systems and methods for providing category aspect information by mining historical data is provided. In example embodiments, historical data is compiled. The historical data comprises user behavior data based on actions performed with past queries by users. Listing data is accessed. The listing data includes aspect data for each listing. The historical data is then joined with the listing data and a determined category of the listing to create joined data. Demand scores based on the joined data are determined. The determined demand scores is then sorted to determine at least one relevant aspect name for a category.

Abstract: There is provided an information processing device including an event cluster creation unit configured to create an event cluster including, among a plurality of types of content, reference content serving as a reference and related content, the related content having a different type from the reference content and indicating the same event as the reference content, and a meta information appending unit configured to create meta information about the event on the basis of the event cluster and append the meta information to the event cluster.

Abstract: An information processing device, method and computer program product use a candidate attribute area identification portion configured to receive information associated with a cluster including at least one data item. The candidate attribute area identification portion identifies at least one named attribute area for each of the at least one data item. A relatedness assessment portion assesses a relatedness between the cluster and each of the at least one named attribute area. A cluster name generation portion generates a cluster name based on the assessed relatedness, wherein said cluster name includes at least a part of one of the at least one named attribute area.

Abstract: Systems and methods are provided for manipulating data sets. In accordance with one implementation, a computerized system is provided for storing, managing, indexing, interrelating, and/or retrieving data sets in a manner independent of the data model. The system includes an element module configured to store and uniquely identify elements and an element relation module configured to store relationships between the elements in the element module. The computerized system may also comprise a class module configured to store attributes of elements in a class and a type definition module configured to define the class and the attributes related to the class. The computerized system may further comprise a state machine module, the state machine module including a state machine transition module and a status module.

Abstract: In a method for processing a bill of material (BOM) of an electronic product using a computing device, each electronic component of the electronic product is identified according to a function description of the electronic component, and an identification code for each of the electronic components is generated. The method creates a functional BOM of the electronic components according to characteristic data of the electronic components, and classifies the electronic components into different groups of the functional BOM according to the identification code of each of the electronic components. The method further counts a total number of the electronic components in each of the classified groups, generates assembly information of the electronic product according to the functional BOM, and displays the assembly information of the electronic product on a display device that is connected to the computing device.

Abstract: In accordance with the teachings described herein, systems and methods are provided for clustering time series based on forecast distributions. A method for clustering time series based on forecast distributions may include: receiving time series data relating to one or more aspects of a physical process; applying a forecasting model to the time series data to generate forecasted values and confidence intervals associated with the forecasted values, the confidence intervals being generated based on distribution information relating to the forecasted values; generating a distance matrix that identifies divergence in the forecasted values, the distance matrix being generated based the distribution information relating to the forecasted values; and performing a clustering operation on the plurality of forecasted values based on the distance matrix. The distance matrix may be generated using a symmetric Kullback-Leibler divergence algorithm.

Abstract: Some embodiments promote website credibility and the optimization of websites for people by automatedly quantifying various elements of a website into component credibility scores. In some embodiments, a set of encoded credibility scoring rules are used to compute each of the component credibility scores, wherein the credibility scoring rules are derived based on factors that have been identified by a grouping of people that preferably represent a primary demographic of users that consume the content of a particular classified type of website. In some such embodiments, the credibility scoring rules are derived from commonality that is identified from a sample set of known credible and/or non-credible websites of a particular classification. Once the credibility scoring rules are defined, the system applies the rules to other websites having the same classification as those from which the rules are derived to automatically generate credibility scores for the other websites.

Abstract: A computer implemented method for generating a set of updates for a database comprising multiple records including erroneous, missing and inconsistent values, the method comprising using a set of partitioning functions for subdividing the records of the database into multiple subsets of records, allocating respective ones of the records to at least one subset according to a predetermined criteria for mapping records to subsets, applying multiple machine learning models to each of the subsets to determine respective candidate replacement values representing a tuple repair for a record including a probability of candidate and current values for the record, computing probabilities to select replacement values for the record from among the candidate replacement values which maximise the probability for values of the record for an updated database.

Abstract: A virtual sub-metering process using combined classifiers includes generating an electric power consumption signature database by receiving data from an electric power consumption measuring meter and auxiliary data from a building management system, and clustering the data. After the generation of the electric power consumption signature database, additional data from the electric power consumption measuring meter and the auxiliary data from the building management system is received, and this additional data is processed to generate a second steady-state load classification component. A second transient state component is extracted from the additional data.

Abstract: A computer system comprising one or more processors and memory groups a set of documents into a plurality of clusters. Each cluster includes one or more documents of the set of documents and a respective cluster of documents of the plurality of clusters includes respective cluster data corresponding to a plurality of documents including a first document and a second document. The computer system determines that the second document includes duplicate data that is duplicative of corresponding data in the first document, identifies a respective subset of the respective cluster data that excludes at least a subset of the duplicate data, and generates an index of the respective subset of the respective cluster data.

Abstract: A method for calculating connectivity of a space having a number of objects using a computer system includes establishing a character matrix having a number of elements in accordance with the objects. A label matrix is established, and the character matrix is divided into blocks. Connectivity of the elements of each of the blocks is calculated, and then the elements are grouped into regions based on the values of the elements. Each of the regions is labeled and enhanced.

Abstract: An information management system creates data structures based entirely on the content of source files, then compares these data structures to discover synergies and commonalities. In one embodiment, the system accepts a first collection of source files, and extracts text from each source file. The text is compared to tags in one or more dictionaries, which comprise hierarchical listing of tags. Tags matching the text are associated with each source file. The system then generates a virtual relational network in which each source file having matching tags is a node. Tags associated with two or more source files are links between the nodes. This virtual relational network may be compared with another virtual relational network to discover common nodes or links. Source files later added to a collection are massively linked by associating all tags from all source files with the newly added source file, and vice versa.

Abstract: A method of retrieving information regarding an information resource, has the steps of: providing an information resource with a plurality of information instances from a first memory unit; providing a knowledge model with a plurality of type categories and a relationship between at least two type categories from a second memory unit; providing a multi-dimensional context model with a plurality of context categories and a number of dimensions corresponding to a number of the context categories from a third memory unit; annotating an information instance by one of the type categories; mapping at least one type category and/or annotating at least one information instance by one of the context categories; and; assigning a context variable to one of the context categories, the context variable determining a value of a context distance between the context category and the information instance mapped to the context category.

Abstract: A grid-based data clustering method performed by a computer system includes a setup step, a dividing step, a categorizing step and an expanding/clustering step. The setup step sets a grid quantity and a threshold value. The dividing step divides a space containing a data set having a plurality of data points into a two-dimensional matrix. The matrix has a plurality of grids G(i,j) comprising a plurality of target sequences and a plurality of non-target sequences interlaced with the plurality of target sequences. The indices “i” and “j” of each grid G(i,j) represents the coordinate thereof. The categorizing step determines whether each of the grids is valid based on the threshold value. The expanding/clustering step respectively retrieves each of the grids of the target sequences, performs an expansion operation on each of the grids retrieved and clusters the plurality grids G(i,j).

Abstract: Embodiments of the inventive concept reduce the burden of creating litigant sources of evidence or other evidentiary materials in connection with litigation in a court of law. Designation of at least one document file included in digital document information is accepted and designation of a language into which the designated document file is translated is accepted. The document file, the designation of which is accepted, is translated into the language the designation of which is accepted. A common document file representing the same content as that of the designated document file is extracted from digital document information recorded in a recording unit. Translation-related information representing that the extracted common document file is translated by invoking a translated content of the translated document file is generated, and, based on the translation-related information, a litigant-related document file is output.

Abstract: A data analysis system for analyzing data from multiple devices has a database service module including a data storage subsystem storing data from collected from different devices. The data is stored in a meta-structure using primitives to classify the data. An analysis engine analyzes the data to determine whether the data defined by the meta- structure meets certain criteria in accordance with a stored set of rules. The system is useful, for example, in the detection of faults in railway infrastructure.

Abstract: Methods and apparatus filter out unused information in irrelevant patterns to find an optimized relevancy group key. Such an optimized key occupies a smaller mapping space and functions to identify relevancy groups while requiring fewer computations to perform thereby improving the overall speed and performance of the processing device.

Abstract: Tools and techniques for identifying visual contextual synonyms are described herein. The described operations use visual words having similar contextual distributions as contextual synonyms to identify and describe visual objects that share semantic meaning. The contextual distribution of a visual word is described using the statistics of co-occurrence and spatial information averaged over image patches that share the visual word. In various implementations, the techniques are employed to construct a visual contextual synonym dictionary for a large visual vocabulary. In various implementations, the visual contextual synonym dictionary narrows the semantic gap for large-scale visual search.

Abstract: Architecture that mines intent of a query from search log data. For example, for a given query, the intent, the major URLs for the intent, and intent attributes, are found. The input is search log data and the output is a database that contains the intent of queries mined from the log data. Data mining techniques are employed to discover major intents of queries in the click-through log data of a search engine. For each query, its expanded queries are created and utilized, as well as co-clicks of the original query and expanded queries in the log data. For each query, clustering is performed on the co-click data of the query and expanded queries to find the major intents of the query.

Abstract: A system, architecture and model for facilitating extensible messaging and interaction are provided. The message system may use a messaging architecture that includes a domain message model, and open message model and a wire format. The wire format may implement primitive data types that may be used by the open message model to define additional and/or more complex data formats. The open message model may further specify interaction paradigms, generic messages, and message and transport attributes. The generic messages may include payload data whose meaning and context may be defined using the domain message model. The domain message model may include a content definition model and an item type model for building data and object types and specifying data context and relationships. As such, the message system may use generic messages and formats to create different message and item types.

Abstract: An embodiment of the invention provides a method and system for randomizing items within a storage device. A linkage module links a first linked item in the storage device to one or more second linked items in the storage device based on attributes of the items. The linking is performed without input from a user of the storage device. The second linked item has at least one attribute in common with the first linked item. A list generating module connected to the linkage module generates a list, wherein the list includes a random sequence of items. The generating of the list groups the first linked item and the second linked item(s) in the list such that there are no items between the first linked item and the second linked item(s) in the list.

Abstract: A method and a device for service management are provided. The method includes: receiving a management instruction corresponding to a virtual linkage group, where the virtual linkage group is grouped according to a service requirement; determining an object of the virtual linkage group, where the object of the virtual linkage group is a group of processes, a group of components, a group of boards, or a group of frames satisfying the service requirement; and performing unified management on the object of the virtual linkage group according to the management instruction. By grouping a virtual linkage group according to a service requirement, when a management instruction corresponding to the virtual linkage group is received, effective service management is performed on the basis of satisfying the service requirement, and the flexibility of the service management is improved.

Abstract: A document analysis device (1) comprises a common assessment information selection unit (90) and an event impact analysis unit (100). The common assessment information selection unit (90) identifies information that matches second assessment information that appears in event-related documents which include descriptions concerning a designated specific event, from among first assessment information that appears in documents for analysis which include descriptions relating to items for analysis, and classifies the information thus identified as common assessment information.

Abstract: Provided are methods, systems and apparatus which include computer program products, for generating topic models for text summarization In one aspect, a method includes receiving a first document of text that is associated with one or more category labels and that includes one or more sequences of one or more words, determining a category label that represents a first category associated with the first document, sampling the one or more sequences to determine a topic and a co-occurrence relationship between the topic and the category label, where a topic represents a subdivision within a category, sampling the one or more sequences to determine a co-occurrence relationship between a sequence in the first document and the topic, and generating a category-topic model that represents the co-occurrence relationships.

Abstract: Representative embodiments of a method for grouping participants in an activity include the steps of: (i) defining a grouping policy; (ii) storing, in a database, participant records that include a participant identifier, a characteristic associated with the participant, and/or an identifier for a participant's handheld device; (iii) defining groupings based on the policy and characteristics of the participants relating to the policy and to the activity; and (iv) communicating the groupings to the handheld devices to establish the groups.

Abstract: A system and method for tracking feeds in a social network is disclosed. The system includes a feed module and a personalization module. The feed module is communicatively coupled to the social network. The feed module is configured to receive a social information feed from the social network. The personalization module is communicatively coupled to the feed module to receive the social information feed from the feed module. The personalization module retrieves a category. The personalization module organizes the social information feed into a categorized feed based at least in part on the category. The personalization module extracts a feature based at least in part on a user query. The personalization module queries the categorized feed based at least in part on the feature to generate a personalized feed. The personalization module outputs the personalized feed to the user or a third party.

Abstract: According to some embodiments, systems, apparatus, methods and computer program code are provided for receiving data from a plurality of remote data sources, the received data being associated with a plurality of search terms, analyzing the received data to identify at least a first trending search term, comparing the trending search term with a database of topical terms to determine whether the trending search term is relevant to a predetermined topic, querying a content database using the trending search term to identify a caption to be associated with the trending search term, and storing the trending search term and the caption in a database.

Abstract: A method comprising, clustering a plurality of records, each record comprises at least one object image and at least one textual field associated with the object, to yield a plurality of clusters such that the object images in each cluster exhibit between them a visual similarity above a specified value; associating each cluster with a label by applying a dictionary function to the textual fields of each cluster, wherein the label reflects a common semantic factor of the textual fields of each cluster, and the factor has a value above a specified threshold. Accordingly, the visual similarity provides a measure of resemblances between two visual objects that can be based on at least one of: the fit between their color distribution such as correlation between their HSV color histograms, the fit between their texture, the fit between their shapes, the correlation between this edge histograms, and face similarity.

Abstract: A grouping apparatus manages user information, and executes grouping processing for extracting a subset which matches a predetermined condition from a set of users. A flow control apparatus transmits a set of users to one of a plurality of grouping apparatuses, and transmits a condition used in grouping processing to each of the plurality of grouping apparatuses. One of the grouping apparatuses transmits, to another grouping apparatus, a first subset which is extracted by executing grouping processing on the set transmitted from the flow control apparatus. The other grouping apparatus extracts a second subset by executing grouping processing on the first subset transmitted from the one of the grouping apparatuses.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium including receiving user interaction data, wherein the user interaction specifies user interactions with content items and conversion items. A conversion item is a user action that satisfies a predetermined conversion criteria. The method includes receiving conversion data including conversion path data for a plurality of conversion paths, wherein each conversion path includes user interaction data prior to and including a conversion event. The method includes determining a first interaction, an assist interaction or a last interaction with content items for the conversion event. The method includes providing an ability to define a segment, using a processor, the conversion path data based on path-level dimensions and path-level metrics.

Abstract: Data pertaining to mind-based perceptions is gathered from numerous sources via computer and, using statistical techniques, mind-based perceptions that are commonly occurring are identified. By considering mind-based perceptions from multiple sources that are repeated with a frequency above a certain threshold level, investigators can focus on events that are commonly-appearing at any given time, thereby filtering out much of the “noise” that could be associated with one-time or reoccurring-but-not-specific.

Abstract: In the provided document clustering system (100), a concept tree structure accumulation unit (11) stores a concept tree structure that represents a hierarchical relationship among concepts represented by each of a plurality of words. For any two words, a concept similarity computation unit (12) obtains a concept similarity, which is an index indicating how close the concepts represented by the two words are. Using concept similarities for words that appear in two documents in a document set, an inter-document similarity computation unit (13) obtains an inter-document similarity, which indicates how similar the two documents are semantically. A clustering unit (14) uses inter-document similarities to cluster the documents in the document set.

Abstract: Efficient search query clustering using tripartite graphs may enable a search engine developer to model information needs of users while expending less computing resources. The efficient clustering of search queries may involve multiple computing devices receiving a subgraph of a multi-partite graph that encompasses search queries, as well as receiving a global center vector table that includes cluster center entries for query clusters. At each computing device, the received global center vector table may be filtered to eliminate one or more cluster center entries that are irrelevant to the search queries. Subsequently, the search queries may be clustered into the query clusters by at least using the filtered global center vector table at each of the computing devices. In some instances, one or more comparisons between search queries and the cluster center entries in the global center vector table during the clustering may be eliminated.

Abstract: According to one aspect, provided is a horizontally scaled database architecture. Partition a database enables efficient distribution of data across a number of systems reducing processing costs associated with multiple machines. According to some aspects, the partitioned database can be manages as a single source interface to handle client requests. Further, it is realized that by identifying and testing key properties, horizontal scaling architectures can be implemented and operated with minimal overhead. In one embodiment, databases can be partitioned in an order preserving manner such that the overhead associated with moving the data for a given partition can be minimized during management of the data and/or database. In one embodiment, splits and migrations operations prioritize zero cost partitions, thereby, reducing computational burden associated with managing a partitioned database.