Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for entity review extraction. In one aspect, a method includes receiving documents identified as containing potential reviews of entities and extracting individual review candidates from one or more of the received documents wherein each individual review candidate contains at most one review and providing one or more of the review candidates to a sentiment analysis process wherein the sentiment analysis process is configured to calculate a sentiment magnitude for each of the review candidates based on words in the review candidates.

Abstract: Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for disambiguating names in a document corpus. In an aspect, a method includes generating context term lists for a person name, each context term list being a list of context terms from a resource for the person name; clustering the context term lists into a plurality of clusters, each of the clusters of context term lists including context term lists that are most similar to the cluster relative to other clusters; for each of the clusters, selecting a representative term for the cluster; receiving the person name as a search query; and generating a plurality of query suggestions from the search query and the representative terms for the clusters, each query suggesting being a combination of the person name and one representative term.

Abstract: A system and method for providing a classification suggestion for electronically stored information is provided. A corpus of electronically stored information including reference electronically stored information items each associated with a classification and uncoded electronically stored information items are maintained. A cluster of uncoded electronically stored information items and reference electronically stored information items is provided. A neighborhood of reference electronically stored information items in the cluster is determined for at least one of the uncoded electronically stored information items. A classification of the neighborhood is determined using a classifier. The classification of the neighborhood is suggested as a classification for the at least one uncoded electronically stored information item.

Abstract: A method for assessing a person's security risk includes receiving data from a plurality of disparate data sources in which at least two of the plurality of disparate data sources maintain their respective data in different manners. The method also includes identifying at least one item of data from at least two different data sources that correspond to a first real-world person. The method further includes merging the items from the at least two different data sources into a first record associated with the first real-world person. The method additionally includes identifying one or more relationships between the first real-world person and one or more other real-world people. The method also includes adding the identified one or more relationships to the first record associated with the first real-world person. The method further includes determining a level of risk associated with the first real-world person based on the first record.

Abstract: A system and method are provided for determining a dynamic relation tree based on images in an image collection. An example system includes a memory for storing computer executable instructions, and a processing unit for accessing the memory and executing the computer executable instructions. The computer executable instructions include an event classifier to classify main characters of images in an image collection as to an event identification based on events in which the main characters appear, wherein each main character is characterized as to at least one attribute; a relation determination engine to determine relation circles of the main characters; and a construction engine to construct a dynamic relation tree representative of relations among the main characters, where the dynamic relation tree provides representations of the positions of the main characters in the relation circles, and where views of the dynamic relation tree change when different time periods are specified.

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 collections on a mobile device may be user-defined to include various types of objects including any combination of apps, contacts, email subscriptions, data feeds, and so on. A user interface associated with the data collection includes representations of the various objects associated with the data collection and representations of broadcast data received in association with the objects associated with the data collection.

Abstract: A method in a data processing system and apparatus for organizing files, web pages, or web site members organized in a traditional first hierarchical file structure that is on a recordable medium of a data processing system. A user-defined metalabel is assigned to each of the electronic files, web pages, or web site members. The electronic files, web pages, or web site members are organized as a function of the metalabels into a second hierarchical file structure existing simultaneously with the first hierarchical file structure on the recordable medium of the data processing system. The files, web pages, or web site members can be organized or grouped by the metalabels for efficient searching or following conversations of group members on social networking sites.

Abstract: Architecture that facilitates the discovery of interesting and relevant content by a user in a serendipitous way on a microblogging site. For example, relevant content can be defined as connected to the user, the user's work, and user interests, while interesting content can be defined as content that does not directly affect the user, yet the user chooses to obtain (e.g., for viewing, interacting, etc.). The content can be presented as a tile cluster, where each tile is a specific content type (e.g., image, link, post, user recommendations, tags, etc.). Additionally, the content can be obtained and presented relative to a specific temporal setting such as the latest content. The different content types are visually distinguished such that one type of content looks and behaves differently from another content type. The user can also drill into content details from the top content.

Abstract: Data is received that characterizes each of a plurality of documents within a document set. Based on this data, the plurality of documents are grouped into a plurality of stacks using one or more grouping algorithms. A prime document is identified for each stack that includes attributes representative of the entire stack. Subsequently, provision of data is provided that characterizes documents for each stack including at least the identified prime document to at least one human reviewer. User-generated input from the human reviewer is later received that categorized each provided document and data characterizing the user-generated input can then be provided. Related apparatus, systems, techniques and articles are also described.

Abstract: A system for planning, preparation, and execution across multiple recipes and cookbooks simultaneously includes a database structure that distinguishes between different types of recipes stored in an electronic in the database. The system is further configured for performing actions such as scaling the recipe for a different number of servings, choosing between US and metric measurements, substituting ingredients, determining preparation times, determining needed cooking equipment, determining food parings from multiple cookbooks or series of cookbooks, determining wine pairings, and creating shopping lists. A corresponding method provides for users to search both e-Cookbooks and e-Recipes, where searching can be done on any number, combination of keywords or concepts.

Abstract: This patent discloses a system to compile a landmark image search result. The system may determine a rank of each image within a visual cluster according to at least one of a low-level self-similarity score, a low-level discriminative modeling score, and a point wise linking score. The landmark image search result may be compiled as a function of the rank of each image.

Abstract: A relational service system for generating an input method is disclosed; the system uses an input unit to provide phonetic symbol and symbol input for a user, transmits an input string by the user to a temporary storing unit for display and selection, and then transmits the selected input string back to the input unit. When the input string is in the temporary storing unit, a analysis unit breaks the input string to obtain one or more words and analyzes the word to find a keyword, then a decision unit uses the keyword to search in a database to determine if there's an associated word or phrase related to the word, if so, then a prompting unit is enabled to use a relational information display unit to display related information in a tree structure, and finally a service unit uses an associated word or phrase selected by the user to initiate a remote service, such as ordering food, restaurant reservation, or booking movie tickets.

Abstract: Systems and methods for clustering content according to similarity are provided that identify and group similar content using a set of tags associated with the content. A topic model of a group of content is built, producing a probability distribution of topic membership for the content. Individual items of content are then clustered using a clustering algorithm, and a distance matrix from the probability distribution is built. Based on the distance matrix, individual items of content are labeled as “must-link” or “cannot-link” pairs with the group of content. The topic model is then embedded into successively smaller dimensions using a kernel method, until the clustering is stable with respect to both the behavioral and content domains.

Abstract: Techniques that may be used for detecting a primary content (e.g., a web page) that the user is viewing and presenting one or more pieces of supplemental content (e.g., social media data) together with the primary content. The supplemental content presented to the user together with the primary content may be content that is matched to the primary content and therefore detected to be relevant to the user. Detection of primary content and matching to supplemental content may be carried out based on a comparison of entities related to the primary and supplemental content. In some embodiments, an analysis of the primary content for entities may include ordering entities according to significance in the primary content and selecting top entities for comparison. Also, in some embodiments, multiple pieces of supplemental content may be displayed to a user categorized based on entity.

Abstract: The invention concerns a method of visualizing consumption information, the method comprising the steps of presenting (103) the consumption information to a consumer and presenting (104) to the consumer a benchmark for assessing the consumption information, wherein the method further comprises the steps of, prior to presenting (104) the benchmark, determining (101) a peer group of consumers based on a characteristic of the consumer and determining (102) the benchmark based on the peer group. The invention further concerns a corresponding device, storage means, and software program therefor.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for providing an adaptive knowledge platform. In one or more aspects, a system can include a knowledge management component to acquire, classify and disseminate information of a dataset; a human-computer interaction component to visualize multiple perspectives of the dataset and to model user interactions with the multiple perspectives; and an adaptivity component to modify one or more of the multiple perspectives of the dataset based on a user-interaction model.

Abstract: A computer-readable, non-transitory medium stores therein an operation management support program that causes a computer to execute a process that includes acquiring execution history information recording for each element group included in activity diagrams expressing work procedures for operation processes executed by a system, correlations between elements and access destinations thereof; searching among elements not yet selected from among all element groups, for a second element having an access destination coinciding with that of a first element selected from among all element groups, the searching performed by referring to the acquired execution history information; setting the first and the second elements as synonymous elements, if a second element is retrieved at the searching; extracting from among the element groups included in the activity diagrams including synonymous elements, a common element string of elements common among the activity diagrams that include the synonymous elements; and output

Abstract: A method for retrieving information from a document includes a process of grouping paragraphs in the document to form passages, and forming indexes relating to a number of words in the passages. The number of paragraphs in a passage is determined based on the number of paragraphs considered optimum for a writer to cover a particular topic. Passages are formed by merging each N consecutive paragraphs in the document, where N is an integer greater than 1. Thus, individual passages may include paragraphs that are identical to other passages.

Abstract: An online address book system having sufficient hardware and software to operate an address book user interface and to perform intelligent interpretations of voice and text inputs from users. The system includes at least one server software module that includes software to perform a plurality of functions. These include the ability to receive voice input data and separate user voice queries, wherein the software can arrange the data so as to create a data base that includes at least three access dimensions, including contact access, contact-relationship access and contact-time frame access, and so as to create a connectivity matrix based on a plurality of contact pair relationships applying connective recognition logic. The system provides a voice operated user interface that permits access to address book stored data based on user input selected from the group consisting of contact, a contact-relationship pair, a contact-time frame pair, and combinations thereof.

Abstract: Disclosed herein are various exemplary systems and methods for conducting legal research using clustering analytics. A system for building relationships between passages, the system comprising a passage generation module configured to generate passages from one or more case law documents, an annotation module configured to annotate the passages based on one or more attributes, and a clustering module configured to build relationship clusters between the passages based on the one or more attributes.

Abstract: An expert list recommendation system is provided, including: a domain modeler for establishing an expert knowledge database according to a plurality of expert publications in different domains, receiving an inquired proposal, determining the academic field of the inquired proposal according to keywords of the inquired proposal and keyword sets of the expert publications in different domains stored in the expert knowledge database, and outputting a first domain expert list corresponding to the inquired proposal, wherein the first domain expert list comprises a first group of expert publications and a first group of expert names; and an expertise matcher for receiving the first domain expert list, comparing semantic relatedness between keywords of the inquired proposal and keywords corresponding to the first group of the expert publications of the first domain expert list to output a first expert list to a display device.

Abstract: An apparatus for authoring data in a communication system includes: an extraction unit configured to receive media corresponding to contents and extract contents information regarding the contents from the received media; a generation unit configured to generate a DMB ECG XML-based metadata comprising the extracted contents information; and a processing unit configured to visualize particulars of the DMB ECG XML-based metadata through a user interface and process the user interface so that the DMB ECG XML-based metadata is generated and edited on a template.

Abstract: An expertise locator enables user defined correspondences between experts and respective certain objects. Each object inherits from classes in a hierarchy. Using the correspondences, a locator processor routine finds a candidate expert about a particular subject area. The candidate expert may be in a correspondence with a certain object whose class is a subclass of the particular subject area. Output may display an indication of the candidate expert, relevant expertise per candidate and/or a list of experts per certain object. In the case of the certain objects being topics, the hierarchy is an ontology of the topics.

Abstract: A fast and efficient technique for hierarchical clustering of samples in a dataset includes compressing the dataset to reduce a number of variables within each of the samples of the dataset. A nearest neighbor matrix is generated to identify nearest neighbor pairs between the samples based on differences between the variables of the samples. The samples are arranged into a hierarchy that groups the samples based on the nearest neighbor matrix. The hierarchy is rendered to a display to graphically illustrate similarities or differences between the samples.

Abstract: An approach is provided for providing a contextual model based upon user context data. A context modeling platform collects context data of a user from a plurality of sources, and the sources include at least online activities of the user. The context modeling platform maps the collected user context data as context data points into a multidimensional contextual model.

Abstract: Systems and methods are provided for an expert search engine. In one embodiment, a method may employ a computer based system to define a meaning taxonomy including one or more meaning loaded entities, associate documents to the meaning taxonomy based on a set of expert rules and the syntactic structures included in the documents and provide the results to a user. In another embodiment, a system includes interfaces for meaning taxonomy, expert rule and search criteria information. The information provided by these interfaces is then used to determine how a set of documents maps to meaning taxonomy to assist the user in locating documents that are most interesting from a meaning perspective and to provide a user with an interface to navigate the meaning taxonomy as it applies to the set of documents.

Abstract: Information in which a user is interested when viewing a program and a situation and a behavior of the user are to be associated with each other. A keyword dictionary defining program information and a user behavior model are provided, and thereby the scene interesting the user is registered and stored, and information on the interesting scene is presented in a situation optimal to the user.

Abstract: Some general aspects of the invention relate to systems and methods of processing data, for example, to improve customer interactions. One aspect, in particular, relates to a computer-implemented method that includes accepting user input for analysis of a database having media data and metadata. The media data includes a group of audio recordings and the metadata includes descriptive information of the group of audio recordings. A representation of a set of call series is formed based on user input, and processed to generate an analysis report. A visual representation of the analysis report is formed for presentation to a user.

Abstract: A system and method for production of analyzing electronic documents includes document acquisition software; a database, comprising a document table; a document parser; a categorization schema; and a document processor operatively in communication with the database and the categorization schema. Document acquisition software operatively resident in a first computer acquires an electronic document which is then parsed by a document parser operatively resident in a second computer to create a set of parsed data related to the acquired document. A predetermined set of data describing the parsed document, comprising the created parsed data, are stored into a document table of a database accessible to the second computer. A non-neural network process is used to process the created parsed data in a document processor operatively resident in a third computer according to a categorization schema to create an association between the acquired document and the categorization schema.

Abstract: Systems and methods to summarize transaction data via cluster analysis and factor analysis. In one aspect, a method includes identifying at least one set of clusters based on a cluster analysis of transaction records to group entities, identifying a plurality of factors based on a factor analysis of the transaction records to reduce correlations in spending variables, classifying an entity according to the at least one set of clusters, and computing values of the factors based on the transaction records of the entity.

Abstract: An information map creating apparatus and method including summing strengths of associations of information elements and creating a duplicate of an information element selected on the basis of the sum of the strengths, calculating strengths, including direct paths, of the associations among the information elements in a state in which some association whose strength is relatively low is excluded from the associations of one of the information elements of a duplicate origin and the information element of a duplicate target, summing the strengths of the associations of each of the information elements, and excluding, from the object to be displayed, an association whose strength is relatively low among the associations of one information element among the information elements, whose strength summed by the summing unit is higher than the others.

Abstract: Methods and apparatus for identifying and analyzing clusters of medical billing claims in a queue to identify a shared root cause issue for the medical billing claims in the cluster. Exemplary methods and apparatus involve grouping each of the plurality of medical billing claims into clusters based on predetermined cluster patterns that include at least one attribute, validating the clusters using predetermined criteria to determine if the clusters should be analyzed, discarded, and/or marked for further analysis, collecting information about each of the medical billing claims in clusters, and determining a root cause issue for the medical billing claims in the clusters based on the collected information.

Abstract: A multimedia data organization process, i.e. creation, of a photo album or slideshow, said multimedia data being represented by contingent individuals (14a, 14b, 14c, 14d, 14e, 14f) of an instantiated ontology that in addition to generic individuals (EC, C, F, M, T, A) comprises semantic links between individuals, comprising: —the presentation to the user of the choice of at least one individual from the instantiated ontology, and in response to a user-prompted choice, —the selection and organization of a subset of multimedia data corresponding to the contingent individuals of the instantiated ontology according to at least one selection and/or organization rule engaging the user-chosen individual and the related semantic links.

Abstract: A system and method for communication and collaboration that uses a generalized annotation based mechanism such that items can be shared amongst users and both items and users can be searched and ranked based on existing Information Retrieval ranking techniques. A new method is introduced for clustering users and items simultaneously on the basis of category contexts. These mechanisms are leveraged to create a mechanism that allows for publishing and subscribing items based on context.

Abstract: A self-uploaded indexing and data clustering method and apparatus is disclosed. In one embodiment, a method of a server device includes processing a merchant-uploaded inventory data to determine a set of meta-data attributes associated with the merchant-uploaded inventory data and creating an index data using the set of meta-data attributes associated with the merchant-uploaded inventory data. The merchant-uploaded inventory data may be compared with a previous inventory data of a particular merchant associated with both the merchant-uploaded inventory data and the previous inventory data to identify at least a portion of the set of meta-data attributes which do not need to be updated. The index data may be created using an incremental algorithm that builds on preexisting indexes which have substantially similar data as the index data.

Abstract: A system for the entry of medical notes, wherein the medical notes, after submission, are stored is non-editable form and are locked in a database for historical archival. In one scenario, the entered medical notes are editable and can be deleted for a pre-set time period, wherein, after the expiration of the pre-set time period, the entered medical notes are stored is non-editable form and are locked in a database for historical archival. Filters can be used to categorize and render the stored medical notes based on a set of categories.

Abstract: The disclosed embodiments relate to a multimedia data encoding/decoding method and apparatus.

Abstract: A system and method is provided for the management of a patient's medical records by a central data repository under the direction of the patient and enabled by an entity managing records on behalf of the patient. Medical records from a plurality of the patient's healthcare providers, including past and present healthcare providers, are maintained in this central repository in a way that provides a centralized, comprehensive, and accessible medical history of the patient, as well as a comprehensive organizational structure across all records. An embodiment has the patient directed central repository as the hub in a hub-and-spoke arrangement, where each spoke goes to one of the patient's healthcare providers, both past and present. The patient's medical records are collected from all the patient's healthcare providers, then classified, stored, and organized for use by the patient, healthcare providers, and any other authorized individuals.

Abstract: A reproducing apparatus includes a storage section, a judgment section, an analysis section, a classification section, an input section, and a reproduction section. The storage section stores a plurality of pieces of audio data. The judgment section judges, based on a length of each piece of audio data stored in the storage section, an analysis time interval for each piece of audio data. The analysis section analyzes the audio data in the analysis time interval judged by the judgment section. The classification section classifies the respective pieces of audio data into a plurality of predetermined classification items based on results of the analysis. The input section causes a user to select the classification item of the audio data to be reproduced. The reproduction section reproduces the audio data belonging to the classification item selected by the input section from a reproduction start point within the analysis time interval.

Abstract: Automatically extracting information that matches a predetermined criterion from one or more web pages at one or more web sites and automatically producing one or more extracted data-field names from the information extracted from the one or more web pages at the one or more web sites. The extracted information includes at least one extracted data-field value associated with one of the one or more extracted data-field names. If one of the extracted data-field names matches an existing data-field name in a previously constructed data base including one or more data fields each associated with a data-field name and a data-field value, the method updates an extracted data-field value associated with the data-field name in the data base. If one of the extracted data field names does not match any of the existing data-field names in the data base, the method adds the extracted data-field name to the data base.

Abstract: Accessing data through a social network. User input may be received at a node in a social network requesting access to data or requesting a search for data. The node includes data for an entity. In some embodiments, the entity controls the data at the node exclusive of centralized control of the social network. The node further comprises one or more references defining relationships to other nodes. The relationships are defined on an informational basis such that information in data at one node is related through a relationship to information in data at another node. Each of the other nodes includes other data about other entities. Embodiments may further include receiving data at the node from one or more of the other nodes based on one or more of the relationships. At the node, the data from the other nodes may be published.

Abstract: Object clustering techniques are disclosed. A nonnegative sparse similarity matrix is constructed for a set of objects. Nonnegative factorization of the nonnegative sparse similarity matrix is performed. Objects of the set of objects are allocated to clusters based on factor matrices generated by the nonnegative factorization of the nonnegative sparse similarity matrix.

Abstract: A method for classifying and recommending wine includes establishing a network connection between a server and a computer, recording a wine inventory within a database management system (DBMS) of the sever, and populating the inventory with information describing the different wines. A weighted value is assigned to the information for each wine to determine a numeric bin value, and an objective personal taste profile (PTP) of the user is calculated as a number that objectively rates the user's taste preferences. The method matches a wine with the user based on the bin value and PTP, and displays a graphic of the wine on a web browser. A server-based system includes a data base management system (DBMS) and a server having an algorithm for classifying and recommending wine based on the user's PTP, and displaying a graphic of the wine on a web browser.

Abstract: An Internet Protocol Television (IPTV) which collects content information from content providers and a method and system for providing the IPTV with the content information are provided. The IPTV includes a connection unit which enables the IPTV to be connected to the Internet for data transmission or reception over the Internet, a content information collection unit which collects information about content created by IPTV content providers over the Internet, a content information processing unit which creates standard metadata by processing the collected content information, a storage unit which stores the standard metadata, and an output unit which displays the content information of at least one channel by using the standard metadata.

Abstract: A system and method for classifying and defining relationships between product information data is provided. The method classifies the product information data to two different data types. Each data type includes a plurality of items. The items of each of the two types are arranged in a product information tree. The items of all the product information trees are associated to construct a new tree for showing the relationships of the product information data.

Abstract: A system for organizing and searching data that relates to a product of manufacture includes a database module configured to store values for a plurality of attributes for each of a plurality of components. A portion of the plurality of components is employed in the product of manufacture. A processing module is configured to organize the plurality of components into one of a plurality of user selectable product structures. Each product structure is based on the values of one of the plurality of attributes. A display is configured to display the selected product structure of the article of manufacture with each of the components displayed within the selected structure.

Abstract: A reporting server, a method of performing rich media content web site analytics and a network analytics infrastructure. In one embodiment, the reporting server includes: (1) a location mapper configured to receive messages directly from rich media message generators over a network and associate geographical locations with the messages based on logical addresses contained therein, (2) an analytics engine coupled to the location mapper and configured to create associations among the messages based on aggregation criteria received from a reporting client and (3) a graphical user interface generator coupled to the analytics engine and configured to generate at least one representation based on the associations and transmit the at least one representation to the reporting client.

Abstract: The present invention is directed towards systems, methods and computer program products for clustering a plurality of user history items. According to one embodiment, a method of clustering a plurality of user history items comprises storing a plurality of history items corresponding to a plurality of user search queries and a plurality of user selected items, as well as clustering the history items according to a time-based clustering algorithm and clustering the history items according to a subject matter based clustering algorithm. The clustered history items are displayed on a display device to a user.

Abstract: Methods and apparatus for household level segmentation are disclosed. An example method to classify consumers in clusters includes receiving population data indicative of a population of consumers and receiving a plurality of profiles, at least one profile to evaluate partitioning of the population of consumers. The example method also includes selecting at least one of the plurality of profiles based on a count limit value in accordance with a classification tree dimension split.