Abstract: A system, a computerized method, and a computer program product for classification of items based on their attributes and on a classification scheme that is defined based on information pertaining to each item of a set of items, and which is indicative of: (a) a quantity of occurrences of the item in a sample; (b) a quantity of successful occurrences of the item in the sample; and (c) at least one attribute of the item with regard to at least one variable out of a set of variables.

Abstract: Some implementations disclosed herein provide techniques and arrangements to train a blocking scheme using both labeled data and unlabeled data. For example, training the blocking scheme may include iteratively: learning a conjunction, identifying first matches in the labeled data and the unlabeled data that are uncovered by the conjunction, and identifying second matches in the labeled data and the unlabeled data that are covered by the conjunction. The conjunction learned in each iteration may be combined using a disjunction. A search engine may use the search engine when searching for records that match an entity.

Abstract: The present disclosure is directed to a computer system and method performed by a selectively programmed data processor for providing data to a Web page such that items are presented to the user in a way that imitates a real world shopping experience. Various aspects of the disclosed technology also relate to systems and methods for calculating product or category associations using associative relation extraction. Additional aspects of the disclosed technology relate to automatic topic discovery, and event and category matching.

Abstract: Provided is a technique for organizing content objects in an enterprise content management system. Auditing of the content objects is performed to identify one or more content objects that are to be re-classified. A content object is selected. A first category associated with the content object is obtained. A relevancy score is obtained for the first category. A list of candidate categories and relevancy scores for each of the candidate categories are obtained. In response to determining that the first category does not correspond to a candidate category or that the relevancy score does not exceed a threshold, the content object is identified as improperly categorized, and the candidate categories that have associated relevancy scores that exceed the threshold are provided in an audit report.

Abstract: An approach is provided to correlate transaction data occurring at two different domains running on a common operating system image without using static, or common, correlators. Request-type event records are collected at a first domain within the operating system image, with each of the request-type event records including execution identifiers and a unique token that indicates the order in which the corresponding request-type event occurred on the first domain. Similarly, response-type event records are collected at a second domain within the operating system image. The request-type event records are matched with the response-type event records based on the execution identifiers and an overall order that is indicated by unique tokens included in the records. The matching of request-type event records with response-type event records indicate a number of inter-domain transactions which are recorded in a correlation data store.

Abstract: Techniques for accessing a parallel database system via an external program using vertical and/or horizontal partitioning are provided. An external program to a database management system (DBMS) configures external mappers to process a specific portion of query results on specific access module processors of the DBMS that are to house query results. The query is submitted by the external program to the DBMS and the DBMS is directed to organize the query results in a vertical or horizontal manner. Each external mapper accesses its portion of the query results for processing in parallel on its designated AMP or set of AMPS to process the query results.

Abstract: There is provided an information processing apparatus including a transmission section which transmits, to an external device that has collected an index pertaining to a feature of an output of a sensor for each classification, classification information for specifying the classification, and a reception section which receives information about the index corresponding to the classification information.

Abstract: According to some embodiments, a plurality of source records may be received from a plurality of data sources, with each source record including a plurality of fields. It may be determined that a match group of source records from different data sources relate to the same entity, and a single best record may be automatically created for the match group based on field values from different source records in the match group. The creating may includes, for example, assigning a first set of fields to a first survivorship group associated with a first survivorship rule and a second set of fields to a second survivorship group associated with a second survivorship rule. All records in the match group may then be simultaneously ranked in accordance with the first and second survivorship rules using a single query. The best record could then be stored for subsequent use by other applications.

Abstract: Architecture that provides a preview template of information supplemented to a result entry of a results page, such as a search engine results page. A data component supplements the result entry with information from a results destination document. The information is segmented and grouped into logical collections of related results according to contextual templates. Each template is associated with an interactive label that exposes a corresponding collection in response to label interaction. Each label of a template is a visual cue that includes a descriptive title which relates to individual web results of the collection. A user can scan through the labels and interact only with the section (collection) of interest to obtain a preview of destination document results before committing a click that navigates the user to the destination document of the website. The labels are also ranked within the template of information for a given result entry.

Abstract: A social networking service (SNS) trap collection system capable of accurately and effectively extracting and collecting information including a malicious code among information exchanged in an SNS, and a uniform resource location (URL) collection method by the same. URL information for a malicious code included in post (a bulletin script, a message, a note, or the like) exchanged is effectively collected by using an account IDD and a password of account information and utilized for detecting a malicious code in the SNS, thus significantly reducing damage to users due to infection of a malicious code.

Abstract: Systems and methods for dynamic partitioning in a relational database are described herein. A system can be configured to receive a data object definition statement to define a data object, where the data object definition statement associates an expression with the data object, and where the expression defines a correlation between an attribute of the data object and a prospective partition of the data object. The system can then receive a data manipulation statement to manipulate data in the data object, and in response to receiving the data manipulation statement, process the data manipulation statement, where processing includes initiating evaluation of the expression to identify a target partition based on the correlation between the attribute and the prospective partition.

Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a self-organizing map load feature database of a plurality of different electric load types and a plurality of neurons, each of the load types corresponding to a number of the neurons; employing a weight vector for each of the neurons; sensing a voltage signal and a current signal for each of the loads; determining a load feature vector including at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the loads; and identifying by a processor one of the load types by relating the load feature vector to the neurons of the database by identifying the weight vector of one of the neurons corresponding to the one of the load types that is a minimal distance to the load feature vector.

Abstract: A system is disclosed for organizing at least one community. The system includes: a memory having a plurality of modules, including: a community manager module, a community member module, a group manager module, a group member module, and an activity creator module providing functions for an activity creator of the at least one group. The system has a database storing information regarding the community members and the group members. The at least one community corresponds to a pre-existing member-based organization, and each of the plurality of community members of the at least one community is a member of the corresponding organization. Each community is organized in the system to include individuals, but not groups, and one or more of the individuals is also a member of at least one group. A corresponding method is described.

Abstract: An electronic achievement and recognition system provides a software-based platform that allows users to receive, share, view and create achievements.

Abstract: Techniques for managing accounts are provided. An access management system may check out credentials for accessing target systems. For example a user may receive a password for a period of time or until checked back in. Access to the target system may be logged during this time. Upon the password being checked in, a security account may modify the password so that the user may not log back in without checking out a new password. Additionally, in some examples, password policies for the security account may be managed. As such, when a password policy changes, the security account password may be dynamically updated. Additionally, in some examples, hierarchical viewing perspectives may be determined and/or selected for visualizing one or more managed accounts. Further, accounts may be organized into groups based on roles, and grants for the accounts may be dynamically updated as changes occur or new accounts are managed.

Abstract: A suggestion system for providing suggestions of features for inclusion in a clause of a structured query. The suggestion system receives a partial query that is being created by a user. The suggestion system analyzes a query log having queries submitted by one or more users to identify features to suggest to the user based on a likelihood that users who submitted queries similar to the partial query included that feature in the query. The query system then presents to the user the identified features as suggestions to include in the partial query.

Abstract: Management systems, methods, and mediums. A method includes identifying a name of a first object in a plurality of objects. The plurality of objects is associated with one more devices communicably connected to a building automation and controls network. The method includes parsing characters in the name of the first object to identify a plurality of name segments separated by one or more delimiters in the name in response to identifying the one or more delimiters. The method includes identifying a type of the first object and a location of a first device associated with the first object based on the plurality of name segments. Additionally, the method includes generating a hierarchical structure for the plurality of objects based on the type and the location, the hierarchical structure comprising a name for each of the plurality of objects.

Abstract: Systems and methods are disclosed for contextual analysis and segmentation of information objects. According to one implementation, information objects, such as web pages and user profiles, may be analyzed to identify key terms. These key terms may be included in a contextual representation of an information object. By comparing the contextual representations of a plurality of information objects, one or more contextual segments (i.e., categories of information objects) may be created. Each contextual segment may also be associated with its own contextual representation. Once a contextual segment has been created, information objects may be assigned to the contextual segment. These contextual segments may be used to deliver targeted advertising, for example.

Abstract: A apparatus and method for clipping and sharing content at a portable terminal are provided. The method includes receiving a selection of specific content, analyzing related information of the selected content, and classifying the selected content, and storing the classified content according to the classification.

Abstract: An information management method to be executed by a computer, the information management method includes: accepting a registration request including information in which latitude and longitude are included, and correspondence information corresponding to the position information; generating one character string by alternately arraying one character of the latitude and another one character of the longitude, each of the one character and the other one character is in a same digit regarding all of the digits of each of the latitude and the longitude, or some digits from the least significant digit of each of the latitude and the longitude; and storing the correspondence information in a storage unit in a manner correlated with the character string as a key.

Abstract: A method for summarizing capabilities in a hierarchically arranged data center includes receiving capabilities information, wherein the capabilities information is representative of capabilities of respective nodes at a first hierarchical level in the hierarchically arranged data center, clustering nodes based on groups of capabilities information, generating a histogram that represents individual node clusters, and sending the histogram to a next higher level in the hierarchically arranged data center. Relative rankings of capabilities may be used to order a sequence of clustering operations.

Abstract: The present invention presents a system and method for improving interaction between participants of Online Networks increasing the probability of a match connecting Online Networks and Marketplace Participants, using conventional retrieval technology.

Abstract: In an embodiment, a client acquires an operation log of operations in the client. A management system acquires a first operation log group consisting of operation log records including an operation log record of an operation in which a first problem is generated from the operation log. The management system stores in advance problem examples associated with operation log groups each consisting of operation log records and with solutions. The management system searches the operation log groups associated with the stored problem examples for an operation log group determined to be similar to the first operation log group based on the operation log records of the first operation log group. The management system determines a solution to one of the problem examples that is associated with the operation log group determined to be similar to the first operation log group, as a solution candidate to the first problem.

Abstract: According to a general aspect, a method includes maintaining rating groups, each rating group providing a rating for content compiled based on information received from a user evaluating the content. The method also includes receiving, from a first user, a selection of a first rating group to be applied to a set of users associated with the first user. The method also includes receiving, from a user, a request for a piece of content. The method also includes determining that the user from which the request was received belongs to the set of users associated with the first user. The method also includes, based upon the determination that the user belonged to the set of users associated with the first user, accessing information associated with the first rating group and determining whether the first rating group includes a rating for the requested piece of content.

Abstract: The characteristic point detection system of this invention includes: a staying area detection unit 1003 which performs clustering based on distribution of data points contained in GPS log data of a user, determines an index showing a staying time of the user in a cluster based on a number of data points contained in each cluster, extracts one or more clusters based on the index, and forms a staying area of the user based on the extracted clusters, wherewith a cluster is extracted with higher probability as the staying time is longer; a representative point extraction unit 1004 which extracts, one at a time, a representative point of the staying area from each of the extracted staying areas, and determines a score of each of the representative points based on density of the data points in each of the staying areas; and an output unit 1005 which outputs a list ranking each of the representative points based on the score.

Abstract: An approach is provided for providing information clustering based on predictive social graphs. An information clustering platform processes and/or facilitates a processing of one or more social graphs associated with one or more users to cause, at least in part, a prediction of one or more future states of the one or more social graphs. The information clustering platform further causes, at least in part, a clustering of one or more data items associated with at least one information space based, at least in part, on the one or more social graphs, the one or more future states, or a combination thereof.

Abstract: Method and apparatus for determining a metric for use in predicting properties of an unknown specimen belonging to a group of reference specimen electrical devices comprises application of a network analyzer for collecting impedance spectra for the reference specimens and determining centroids and thresholds for the group of reference specimens so that an unknown specimen may be confidently classified as a member of the reference group using the metric. If a trait is stored with the reference group of electrical device specimens, then, the trait may be predictably associated with the unknown specimen along with any traits identified with the unknown specimen associated with the reference group.

Abstract: Dynamically generated lists are provided. Data elements may be sorted in a list according to a value. An index may be dynamically generated to divide the data elements into one or more index groupings, the index groupings containing an equal or nearly-equal number of data elements. The index may comprise index grouping entry points allowing for navigation to each of the one or more index groupings. If a list is modified, for example a data element is added, removed, or otherwise modified, the index may be automatically regenerated to preserve equal distribution of data elements across the index groupings.

Abstract: A system, software and method which enable the analysis of a spatial database.

Abstract: A data mapping acceleration system may include a syntactic profile module to generate a syntactic profile of a data source to be mapped. A semantic classification module may generate a semantic classification of the data source. A similarity module may evaluate the syntactic profile and semantic classification to determine an overall similarity between attributes of data from the data source for mapping the data source.

Abstract: Techniques for automatic sort and propagation of information relating to electronic documents are presented. With regard to an electronic document, such as an incoming message, an enhanced information management component (EIMC) can analyze the document to identify a file folder associated with a subject to which the document relates. Based on interaction with or tagging of the document in a first user interface (UI) and predefined user preferences, the EIMC can propagate information relating to the subject and/or document to a second UI. The EIMC can archive the document in the identified file folder automatically or in response to as little as one UI control manipulation. The EIMC can analyze audio or video content to facilitate tagging and archiving of such content using the first UI and propagation of information relating to such content and/or related subject to a second UI.

Abstract: Techniques are disclosed for resolving entities based on relationships to a common entity. In one embodiment, two entities are compared to determine that an entity resolution threshold is not satisfied. One or more entities commonly related to the two entities are determined. The two entities are determined to satisfy the entity resolution threshold on the basis of the one or more commonly-related entities. The two entities are then resolved into a single entity.

Abstract: Disclosed below are representative embodiments of methods, apparatus, and systems for managing and classifying assets in an information technology (“IT”) environment using a tag-based approach. The disclosed tag-based classification techniques can be implemented through a graphical user interface. Embodiments of the disclosed tag-based classification techniques can be used to allow a user to easily and quickly select and perform actions on groups of one or more assets (e.g., monitor policies, perform upgrades, etc.). For example, the tag-based classification techniques can automatically classify assets into “tag sets” (or “tagged sets”) based on node properties or user-selected criteria or conditions (e.g., criteria or conditions that are established in a user-created tagging profile or rule). The tagged assets can then be further filtered to identify even deeper relationships between the assets.

Abstract: A script repository (embodied, for instance, as a SQL server database) of re-usable scripts may be provided that houses scripts previously developed and/or executed as part of a prior testing effort. The script repository may be searched to view and/or download one or more test scripts based on one or more search criteria, and/or may be checked for duplicate scripts. A development team thus may be able to easily find appropriate scripts for re-use based on particular testing requirements. At the end of testing, the information on the portion (e.g., percentage) of scripts that were re-used by the developers may be collected and reported on a periodic basis.

Abstract: A computer implemented method for matching data records from multiple entities comprising providing respective transaction logs for the entities representing actions performed by or in respect of the entities, determining a matching score using the transaction logs for respective pairs of the entities and for predetermined combinations of merged entities by generating a measure representing a gain in behavior recognition for the entities before and after merging, and using the gain as a matching score.

Abstract: A field-based similarity search system includes an input device which inputs a query molecule, and a processor which partitions a conformational space of the query molecule into a fragment graph including an acyclic graph including plural fragment nodes connected by rotatable bond edges, computes a property field on fragment pairs of fragments of the query molecule from the fragment graph, the property field including a local approximation of a property field of the query molecule, constructs a set of features of the fragment pairs based on the property field, the features including a set of local, rotationally invariant, and moment-based descriptors generated from all conformations of the fragment graph of the query molecule, and weights the descriptors according to importance as perceived from a training set of descriptors to generate a context-adapted descriptor-to-key mapping which maps the set of descriptors to a set of feature keys.

Abstract: To improve monetization of electronic advertisement placement, a profile owner company operates an automatic system for identifying media properties that have interests in specific profiles or profiles of a specified category or kind. The profile owner recognizes a collected visitor profile as one that a media property has previously requested or one that is within a category that a media property has previously requested and arranges for the visitor to be tagged with a tag readable by the media property that requested such a profile. The media property can use the tag in displaying customized advertising to the visitor. Using information received from the media property, the profile owner company then records usage of the profile by the media property.

Abstract: Techniques for organizing data of an information feed. An information feed including one or more feed items is displayed in a presentation on a display device. An indication that a portion of data of the one or more feed items of the information feed as being in a category is received. An identification of the first category is stored in a database system along with the portion of data. The identification and the portion of data may be evaluated, searched, modified or presented using various techniques.

Abstract: The present invention provides an extended context map that can be used in the prioritisation of content which is displayed to a user. The extended context map contains a hierarchical arrangement of contexts, which are associated with a hierarchical arrangement of topics and sub-topics.

Abstract: An item designation machine receives a seller-generated description of an item available for sale. The description is received from a seller of the item. The item designation machine identifies a proposed designation of the item based on the description of the item and presents the proposed designation to the seller. Where the seller refuses the proposed designation and selects a primary designation of the item distinct from the proposed designation, the item designation machine receives the selection from the seller and identifies the proposed designation as a secondary designation of the item. The item designation machine stores the primary and secondary designations in an item record within an item database of the network-based publication system. The item record indicates that the item is a specimen of the primary and secondary designations. The item designation machine lists the item as available for sale.

Abstract: Frequently Asked Questions (FAQ) data are generated using Community-based Question Answering (CQA) data. A thematic hierarchy generation module receives multiple data sources and generates a thematic hierarchy of the data source, where a data source has one or more topics and a topic has one or more themes. A feature classifier classifies multiple CQA data into one or more themes based on the thematic hierarchy, where a CQA data contains multiple question-answer pairs. A selection module selects multiple question-answer pairs from the CQA data based on the classification, measures the quality of the selected question-answer pairs and generates FAQ data using the selected question-answer pairs of the CQA data.

Abstract: Segment group generating means 502 generates a segment group as a group of users matching all of a plurality of user attribute-based conditions. Sample group generating means 503 generates a sample group, as a group of users matching a prescribed number of user attribute-based conditions among the plurality of user attribute-based conditions, for each of user attributes corresponding to the condition. Effect measurement means 506 calculates a ratio, regarding the effect of user information on the use of information transmitted by information transmitting means 504, for each user attribute based on usage notifications received by usage notification receiving means 505 from communication terminals of the users in the sample groups.

Abstract: A method of classifying a plurality of documents. The method includes steps of providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination.

Abstract: Systems, methods, and media for correlating objects according to relationships are provided herein. According to some embodiments, methods may include the steps of for each object in a database, determining a static weight, the static weight representing a number of relational connections between each object and one or more connected entities, setting a delta weight for each object, the delta weight being equal to the static weight, determining which object in the database comprises a highest delta weight, propagating the highest delta weight of the object to each of the connected entities, adding the highest delta weight to a static weight and a delta weight for each of the connected entities, setting the delta weight for the object to zero, wherein the method terminates upon determining that a highest delta weight for at least one object is below a threshold value.

Abstract: Tags on documents are clustered using tag weightings of the tags on the documents. Each cluster includes an identified subject. The identified subjects are compared to identify relationships between the identified subjects. A taxonomy of subjects is built using the identified relationships between the identified subjects programmatically without user intervention.

Abstract: A grouping apparatus (1) to allow a user to join or leave one or more groups according to a state of the user, has a change storage unit (13) that associates and stores a key, which is generated based on a first attribute value to represent the state of the user at a first time point and a second attribute value to represent the state at a second time point, which is later than the first time point, and a member list difference, which shows a difference, between the first time point and the second time point, in a list of members belonging to a group which the user is allowed to join or leave, as the state of the user changes from the state at the first time point to the state at the second time point.

Abstract: Provided are techniques for selecting row identifiers from an initial index structure storing rows of randomized indexes. The row identifiers are randomized. Groups are formed with the randomized row identifiers so that each group has a predetermined number of row identifiers. At least one group is selected from the groups. Indexes are retrieved from the initial index structure that correspond to the row identifiers in the selected at least one group. The retrieved indexes are encoded by adding product information to form new identifiers.

Abstract: This document describes techniques and apparatuses for enabling control or use of personal metadata. In some embodiments, the techniques assemble a person's metadata from various sources on the Internet, present the person's metadata in a user interface, and enable the person to control his or her metadata by adding, removing, or weighting portions of the metadata. By so doing, the techniques enable people to know and alter their metadata, which permits them to tailor their interactions with the Internet or improve their reputation or security.

Abstract: A parallel data processing system comprises: a unit of processing that generates, reads out or updates an object or relevant information on objects; a consistency controller that returns to the unit of processing a consistency value for an object within each object cluster; and an object to cluster association resolving unit that receives an identifier of an object to return an identifier of a consistency controller for an object cluster including the object, wherein, in generating, reading out or updating an object or relevant information on objects, the unit of processing acquires an identifier of a consistency controller for an object cluster including the object from the object to cluster association resolving unit, and performs consistency control based on the consistency controller, while the unit of processing accesses an object storage unit.

Abstract: Various embodiments herein provide system, method, and software solutions to facilitate not only timely, compliant monitoring of individuals housed within facilities, such as detention facilities, but also solutions that discover visible and latent behavior and mental conditions, among other potential issues that may be easily overlooked. Some embodiments focus on data collection and other embodiments focus on applying analytics to collected data to discover conditions and states of individuals, groups, a facility or portion thereof, staff, and procedures. Yet further embodiments include both data collection and analytic discovery. Some embodiments may also include messaging and other data processing and communication mechanisms implemented to facilitate compliance, safety, and monitoring accuracy.