Abstract: A system to catalog and search point-in-tine instances of a file system is disclosed. A catalog engine takes backups of file data generated by a storage system and catalogs the backups of file data into a searchable catalog of independent metadata records. The metadata is represented by baseline structure and delta files.

Abstract: The present invention provides systems and methods for presenting a quantity of information in a single tool. Such a tool includes a map of various objects, the objects having themes relating to a given overall concept, wherein at least one object contains information relating to other objects that have a relationship with that object.

Abstract: A method, apparatus, and article of manufacture for optimizing a query in a computer system. During compilation of the query, a GROUP BY clause with one or more GROUPING SETS, ROLLUP or CUBE operations is maintained in its original form until after query rewrite. The GROUP BY clause with the GROUPING SETS, ROLLUP or CUBE operations is then translated into a plurality of levels having one or more grouping sets. After compilation of the query, a grouping sets sequence is dynamically determined for the GROUP BY clause with the GROUPING SETS, ROLLUP or CUBE operations based on intermediate grouping sets, in order to optimize the grouping sets sequence. The execution of the grouping sets sequence is optimized by selecting a smallest grouping set from a previous one of the levels as an input to a grouping set on a next one of the levels. Finally, a UNION ALL operation is performed on the grouping sets.

Abstract: Embodiments of the present invention relate to systems, methods and computer program products for allowing a user to define output data to be optimized for a population, define one or more input constraints based on which the output data is to be optimized, and optimizing the output data for the population by selecting an object based on a selection routine. Embodiments of the present invention allow fast and accurate optimization of output data associated with large populations.

Abstract: User data and a plurality of micro-segment definitions such that each micro-segment definition in the plurality of micro-segment definitions corresponds to one or more offers in an offer provider campaign are received. Further, a dispatcher dispatches a first subset of the user data and a first subset of the plurality of the micro-segment definitions to a first node in a network. In addition, the dispatcher dispatches a second subset of the user data and a second subset of the plurality of the micro-segment definitions to a second node in the network. Parsing and compiling are performed at each node. Further, parallel processing is performed at a scalable evaluation engine at each node to apply micro-segment condition rules to user data to determine matches to micro-segments. Computation of micro-segments occurs in parallel and resulting micro-segment assignments are collected, filtered to remove duplicates, then ranked to produce a final set of micro-segments that can be used to find offers.

Abstract: Embodiments of the invention relate to organizing data records in a relational database. An aspect of the invention includes creating index items for a plurality of data records. Each index item includes a counter and the creating results in a plurality of counters. The numerical values of counters in corresponding index items are updated for data records in the plurality of data records that are subjected to random access. The plurality of data records are reorganized based upon the numerical values of the plurality of counters.

Abstract: Systems and methods are provided for improved web searching. In one implementation, suggested search queries are provided based on previous search queries and click data. A weighted bi-partite graph or index may be used to identify related search queries based on overlapping clicked URLs. According to a method, query-click log data of a search engine is processed to generate sets of suggested search queries, data corresponding to each suggested search query, and a set of clicked URLs related to each suggested search query. Additionally, or independently, methods may be provided for contextually correcting spelling errors within sets of suggested search queries using a contextual algorithm, and/or identifying and discarding sets of suggested search queries and URLs that lead to restricted material, such as restricted content and related URLs.

Abstract: A method for discovering and presenting ordered groups of names of objects that are commonly used together by an individual user of a computer system. The invention tracks usages of computer objects and computes a measure of importance (a “weight”) based on attributes such as time of use and other application dependent data. The objects that are commonly used at the same time are called a cluster, and clusters with the highest cumulative weights are the ones a user is most likely to use again in conjunction with one another. A user can select an entire cluster or a subset. The objects with the highest weights in the cluster are presented first when the user, having selected a cluster, needs to select a subset of the objects in the cluster. The invention uses space saving techniques to represent clusters in computer memory.

Abstract: Systems for organizing product information in accordance with a catalog taxonomy including: a database storing product information, and a processor configured to receive input of product information associated with a plurality of products, store at least one of the plurality of products in a catalog, associate at least one first tier attribute with a first tier category, the first tier attribute being common to products in the first tier category and being inherited by products in a second tier category, associate at least one second tier attribute with the second tier category, the second tier attribute being common to the products in the second tier category, retrieve second tier attributes of at least two second tier categories, determine at least one common attribute of the second tier categories, generate a first tier attribute group, and associate the at least one common attribute with the first tier attribute group.

Abstract: Example embodiments herein include a system having one or more edge servers disposed in an edge site of a content delivery network (CDN). The system can include a collector for collecting analytics associated with requests for content in the CDN. One or more additional collectors can be instantiated in the system, for example, in response to an increase in recordable events detected in the CDN. The system can include an aggregator for aggregating the collected analytics with analytics collected from other edge stages of the CDN. The system can also include a data store that stores the aggregated analytics according to a configurable data model.

Abstract: An apparatus and method for managing content data of a portable terminal. for the method allows the portable terminal to be able to assign a user's preference on content data by assigning the preference on the content data to data information such as meta-data. The apparatus includes a preference manager configured to assign a preference on acquired content data, and a content manager configured to determine a transmission priority and sorting rule for the content data by confirming the assigned preference.

Abstract: This invention relates to a method and device for computer system performance analysis. All instructions are split into clusters based on significant offset gaps in top-down processing steps. Comments on instruction clusters can be generated automatically or can be edited manually. The comments can be shared among users for the achievement of portability. Significant clusters can be recognized as hotspots based on predetermined metrics.

Abstract: A technology can be provided for change invariant scene recognition of an environment by an agent that uses image sensors to capture images. An example method can include grouping the images into situation image sets to form an image database. A navigation image can be captured by the agent at the agent's current location. Another operation can be searching through images by separately loaded situation image set to identify images that are a probable match for the navigation image. Error values can be computed between the navigation image and situation image sets. A probability can be calculated that situation image sets are to be used as a relevant situation image set based on the error values. Then the relevant situation image set can be searched for matching purposes with the navigation image while the error value is below a defined threshold.

Abstract: A significant recent trend in the internet and mobile telephony has been the dominance of user generated content. As such, in mobile technology have permitted users to upload content onto the internet, whereby sites provide an easily accessible and manageable medium for users to share their thoughts and form a portal for media-rich exchanges. It has been found that much of what is exchanged by users in such settings is context-sensitive, ranging from users' moods and opinions, to communication about users' plans. Broadly contemplated herein, in accordance with at least one embodiment of the invention, is the employment of data mining in information repositories settings to efficiently classify an information stream in real-time and thereby discern user intent.

Abstract: In various embodiments, a semantic space associated with a corpus of electronically stored information (ESI) may be created and used for concept searches. Documents (and any other objects in the ESI, in general) may be represented as vectors in the semantic space. Vectors may correspond to identifiers, such as, for example, indexed terms. The semantic space for a corpus of ESI can be used in information filtering, information retrieval, indexing, and relevancy rankings.

Abstract: Systems and methods for inferring category synonyms from prior result data may include identifying prior query data including query information and category information relating to the prior result data; determining whether the query information is a synonym for the category information; and using the query information and the category information in subsequent search requests if it is determined that the query information is a synonym for the category information.

Abstract: A computer-implemented method of sorting electronic messages can include identifying at least one recipient of an electronic message and retrieving a classification scheme of the recipient. An identifier can be included within the electronic message. The identifier can specify a tag selected from the classification scheme of the recipient. The electronic message, including the identifier specifying the selected tag, can be sent.

Abstract: A document is compared to the documents in a document collection using a hash algorithm and collection statistics to detect if the document is similar to any of the documents in the document collection.

Abstract: A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

Abstract: A method for selecting clusterings to classify a predetermined data set of numerical data comprises five steps. First, a plurality of known clustering methods are applied, one at a time, to the data set to generate clusterings for each method. Second, a metric space of clusterings is generated using a metric that measures the similarity between two clusterings. Third, the metric space is projected to a lower dimensional representation useful for visualization. Fourth, a “local cluster ensemble” method generates a clustering for each point in the lower dimensional space. Fifth, an animated visualization method uses the output of the local cluster ensemble method to display the lower dimensional space and to allow a user to move around and explore the space of clustering.

Abstract: A system and method involves detecting operational social disruptive events on a global scale, assigning event staging and warnings to express data in more simplistic terms, modeling data in conjunction with linguistics analysis to establish responsive actions, generating visualization and modeling capabilities for communicating information, and modeling propagation of events for containment and forecasting purposes.

Abstract: Methods and computer program product relate to the animation of data. The methods and product are executable on a processing device in a computing system environment so as to effectively empower new data files to find and make associations with other applications or principles that already have built up associations or binding with data files that are similar to the new data file.

Abstract: Techniques for meta-directory control and evaluation of events are provided. Disparate events from heterogeneous processing environments are collected as the events are produced by resources within the processing environments. The events are filtered and organized into taxonomies. Next the filtered and organized events are assigned to nodes of a Meta directory, each node defining a relationship between two or more of the resources and policy is applied. Finally, additional policy is evaluated in view of the events and their node assignments with other events, and one or more automated actions are then taken.

Abstract: A computer system for evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively.

Abstract: The present disclosure relates to methods and systems for clustering individual items of web content, and then utilizing activity and profile data to both select clusters of content items for presentation to a user, and determining how the selected clusters of content items are presented to the user of an online social network service. With some embodiments, the activity data are derived by monitoring and detection interactions with the individual items of web content by an individual user, or other users with whom the individual user is related, as established via, and defined by, the social network service.

Abstract: A method and system for generating a taxonomy for documents from tag data are provided. The method includes obtaining tag data in the form of tags on documents with tag weightings for a document and clustering the tags using the tag weightings for documents, wherein each cluster is an identified subject. The documents are associated with each identified subject and the subjects are compared to identifying relationships between subjects to build a taxonomy of subjects. A tag weighting for a document is the number of times the tag is applied to the document with a user rating of the relevance of the tag to the document. The steps are carried out automatically without user intervention.

Abstract: A method for characterizing data elements in an enterprise including ascertaining at least one of an access metric and a data identifier for each of a plurality of data elements and employing the at least one of an access metric and a data identifier to automatically apply a metatag to ones of the plurality of data elements.

Abstract: The present invention is directed to an integrated implementation framework and resulting medium for knowledge retrieval, management, delivery and presentation. The system includes a first server component that is responsible for adding and maintaining domain-specific semantic information and a second server component that hosts semantic and other knowledge for use by the first server component that work together to provide context and time-sensitive semantic information retrieval services to clients operating a presentation platform via a communication medium. Within the system, all objects or events in a given hierarchy are active Agents semantically related to each other and representing queries (comprised of underlying action code) that return data objects for presentation to the client according to a predetermined and customizable theme.

Abstract: A computer program product evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively.

Abstract: A data processing apparatus, comprising a metadata store storing information about files that are stored in a distributed data storage system, and comprising a class database; one or more processing units; logic configured for receiving and storing in the class database a definition of a class of data storage servers comprising one or more subclasses each comprising one or more server selection criteria; associating the class with one or more directories of the data storage system; in response to a data client storing a data file in a directory, binding the class to the data file, determining and storing a set of identifiers of one or more data storage servers in the system that match the server selection criteria, and providing the set of identifiers to the data client.

Abstract: Methods and apparatus, including systems and computer program products, to provide clustering of users in which users are each represented as a set of elements representing items, e.g., items selected by users using a system. In one aspect, a program operates to obtain a respective interest set for each of multiple users, each interest set representing items in which the respective user expressed interest; for each of the users, to determine k hash values of the respective interest set, wherein the i-th hash value is a minimum value under a corresponding i-th hash function; and to assign each of the multiple users to each of the respective k clusters established for the respective user, the i-th cluster being represented by the i-th hash value. The assignment of each of the users to k clusters is done without regard to the assignment of any of the other users to k clusters.

Abstract: Systems and methods are provided for expanding database search queries. In one embodiment, a method comprises receiving a token that is usable in search queries for data in a database, the database including items of data stored in a tree hierarchy of categories. The method further comprises determining a synonym candidate for the token, and identifying the synonym candidate as a synonym for the token in response to a determination that the token and the synonym candidate are in a same category for a level of the tree hierarchy.

Abstract: The invention relates to a system (100) for identifying a document of a plurality of documents, based on a multidimensional image, the system (100) comprising an object unit (110) for identifying an object represented in the multidimensional image, based on a user input indicating a region of the multidimensional image, and further based on a model for modeling the object, determined by segmentation of the indicated region of the multidimensional image; a keyword unit (120) for identifying a keyword of a plurality of keywords, related to the identified object, based on an annotation of the model for modeling the object; and a document unit (130) for identifying the document of the plurality of documents, based on the identified keyword. Thus, the system advantageously facilitates a user's access to documents comprising information of interest based on a viewed multidimensional image. The document may be identified by its name or, preferably, by a link to the document.

Abstract: A records management system classifies records according to a file plan. Record are declared, and then classified. Some records have in initially indeterminate classification and classification is deferred, either by request or due to a lack of sufficient information to classify the record according to the file plan. Unclassified records are placed into a temporary container. At some time while in the temporary container a classification event occurs with a given record which allows the records management system to classify the record and place it into a container corresponding to its classification.

Abstract: Described herein are techniques related to automatic sharing of superlative digital images. Such techniques include an automatic selection of one or more superlative digital images from a set of digital images based, at least in part, upon weighted criteria regarding properties (e.g., metadata or content) of the digital images. Instead, interested parties (e.g., subscribers and/or persons with an association with a particular image) are notified automatically. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: There is provided an ecommerce method and system to generate a data dictionary for searching data items stored in a database. In one embodiment, the system comprises a candidate list generator module to generate a list of keywords from search query information and generate a set of token pairs including a keyword from the list of keywords and a token, the token being a synonym of the keyword. Demand information retrieved from query logs maintained for user-provided query entries is used to apply candidate selection rules to token pairs. The system also comprises a validation module and a data dictionary module to receive validated token pairs as entries in a vocabulary.

Abstract: Systems and methods of supplying missing impact factors in a database. An example of a method is carried out by program code stored on non-transient computer-readable medium and executed by a processor. The method includes providing a matrix of each tree in the database in computer-readable medium, with each dimension in the matrix representing a node of the tree, and each of another dimension in the matrix representing an impact factor for a component of a system under consideration. The method also includes identifying at least one missing impact factor in the matrix. The method also includes estimating the missing impact factor and populating the estimated impact factor in the matrix in the computer-readable medium.

Abstract: A method, apparatus and system for generating recommendations of items to users. Ratings of items made by users are collected (1:1). User behaviour information is also collected (1:2). Then correlations in ratings are obtained (1:3) and similarities in user behaviour amongst the users are obtained (1:4). Thereafter, an item for recommendation to a user is identified (1:5), based on both the correlations in ratings and on the similarities in user behaviour amongst the users and the item is recommended to the user (1:6).

Abstract: A method is described for providing a named entity classification in a computing system having a processor, comprising the steps of the processor reading, from an LOD (Linking Opening Data) set, an LOD node corresponding to a to-be-classified named entity. The processor also determining a type attribute of the LOD node corresponding to the to-be-classified named entity as a tagged type of the to-be-classified named entity and further reading a candidate type. Finally, the processor computing, based on the tagged type, a possibility of the to-be-classified named entity belonging to the candidate type.

Abstract: Embodiments for identifying event beacons are provided. Position observations for a beacon are grouped into a plurality of clusters based at least on spatial distance. A location of each cluster is compared to event locations corresponding to events. Based on the comparison, the beacon is associated with the event, and the location of the beacon is set to the location of the event. In some embodiments, location requests are analyzed to identify event beacons, and the event information for the event beacons is used to identify event locations in response to the location requests.

Abstract: A system and method of directing queries to human assistants who may be users of an information search system is described. An area of interest of a user is identified based on queries and/or other activities of the user. When a request is received analysis of available human assistants is performed to determine a suitable human assistant to aid in production of a response includes directing a task to a user associated with the type of request received.

Abstract: Methods and systems for indexing, storing, recalling and displaying social network user profiles, event calendar postings and user feed postings are described. A single, discrete set of keywords, can be utilized and assigned to both user profiles and postings and can operate as a method of indexing. The assignment of these keywords may allow users to control the display of calendar and feed content by matching assigned posting keywords to assigned profile keywords via a matching algorithm. Matched event-related postings may also be automatically displayed in a user's calendar. Searches of profiles and postings may also be performed by constructing queries using the same set of discrete keywords attached to profiles and postings. Users may have the ability to control the display of specific profile information and postings via privacy settings, which utilize unique methods of tracking relationship segmentation and social distance.

Abstract: A method of sorting and displaying data on a portable electronic device includes: determining geographical coordinates of the portable electronic device, providing search criteria to the portable electronic device, performing a search in a database based on the search criteria resulting in a list of database records, determining a search area of the portable electronic device and displaying selected records from the list of database records on a display screen of the portable electronic device. Each of the selected records is located within a search radius, which originates at the geographical coordinates of the portable electronic device, and within the search area, which is determined based on a pointing direction of the portable electronic device.

Abstract: Methods and apparatus teach providing semantic associations between data available on one or more computing devices, including grouping together related files and creating an association between the related grouped files and at least one anchor file to provide a semantic association for the grouped files. Also is taught configuring an agent on the one or more computing devices to undertake the grouping and to create the association without a user request. Also is taught triggering an evaluation of current files against related grouped files, and creating an association between the current files and at least one of the related grouped files and the at least one anchor file. Information may be added to the created association to create additional semantic associations for one or more of the grouped files and the current files. In turn, computer program products and computing systems for accomplishing the foregoing are provided.

Abstract: The present invention is associated with an information providing apparatus and method, a terminal apparatus and an information processing method, and a program that are configured to provide users with registered information without locational restrictions. A recognition device 21 recognizes a category from an image of a target object 122-1 obtained by the user in a terminal apparatus 12-1. A server 11 transmits the recognized category to the terminal apparatus 12-1 and receives category “fixed phone” selected by the user and additional information 123 corresponding thereto. An information DB 22 relates the additional information 123 with a recognition device 21 of “fixed phone” and register the related additional information 123. Subsequently, the recognition device 21 recognizes a category from an image of a target object 122-2 obtained by the user in the terminal apparatus 12-1.

Abstract: A method for managing data in an enterprise by identifying data of interest from among a multiplicity of data elements in an enterprise, the method including characterizing data of interest at least by at least one non-content based data identifier thereof and at least one access metric thereof, the at least one access metric being selected from data access permissions and actual data access history and selecting data of interest by considering only data elements from among the multiplicity of data elements which have the at least one non-content based data identifier thereof and the at least one access metric thereof.

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Abstract: A method for updating records associated with work items within a business process workflow according to embodiments of the invention, includes the steps of processing the work items according to the business process workflow, and updating a record associated with a group of work items as the group of work items transitions from a first state to a second state within the business process workflow.

Abstract: The contents of a computer file system are displayed on a graphical user interface. File system metadata descriptive of the computer file system and file metadata descriptive of each of a plurality of files are gathered. A file selection is received indicating a file accessed by the user. A user context is determined by the file metadata. The files are clustered using the file system metadata, a set of file metadata, and the user context. The set of file clusters are mapped onto a visualization model and graphically displayed on the graphical user interface using the visualization model.

Abstract: Systems and methods for identifying candidate queries related to a trending topic based on a user query are described. A trending topic identification module identifies topics trending in one or more real-time content sources. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. A query recommendation module suggests at least one candidate query in response to receiving a user query. The query recommendation module obtains the at least one candidate query by comparing words and named entities of the user query with words and named entities associated with the trending topics identified by the trending topic identification module.