Abstract: Search results obtained from a ranking model are re-ranked based on user-configured ranking rules. For example, a user may desire to: place certain search results at a top/bottom of a ranking of search results; remove some search results; and/or adjust a ranking of some of the search results. A Graphical User Interface (GUI) allows a user to configure the ranking rules (e.g. enter key/value restrictions and to set a boost value) and to preview an application of one or more of the ranking rules. Query language operators that follow a standard operator syntax are created based on the inputs (e.g. a ranking query operator is created that may include multiple user supplied parameters). The user may also specify a portion of the results from which statistics (e.g. standard deviation, average score) are calculated. For example, a user may specify to calculate statistics for the top N number results.

Abstract: A method, apparatus, article of manufacture for providing list of a plurality of media programs responsive to a user search query is disclosed. In one embodiment, the method comprises the steps of accepting an general search query from a user computer, identifying a synonym for the general search query, identifying a category for the general search query according to the identified synonym, performing a categorical search of a media program database using the identified synonym and the identified category to obtain a search result, and transmitting the search result to the user computer for presentation on a display communicatively coupled to the user computer.

Abstract: A data mining method, apparatus, and system are provided.

Abstract: Systems and methods for managing user ratings in a web services environment. A method includes storing a comment associated with a web service and storing an influence rating associated with an author of the comment. The method also includes transmitting information associated with the web service, the comment, and the influence rating to a user. Additionally, the method includes receiving feedback from the user, and determining an updated influence rating based upon the feedback and the influence rating.

Abstract: Disclosed are various embodiments for automatically generating item taxonomies based upon attributes of an item. An item taxonomy application analyzes a set of items and an item taxonomy comprising at least one node to generate one or more item families associated with each node in the item taxonomy. The items in each item family have the same values in common for a number of attributes. As part of the generation of item families, a number of potential classification, categorization, or other taxonomic errors may be detected and reported.

Abstract: A constant-vector computation system and method are provided that exploit constant-value blocks during data processing in a database. The system and method may be implemented in any data processing system that processes data at a vector or block granularity.

Abstract: A method and apparatus for using a classifier for processing a query are disclosed. For example, the method receives a query from a user, and processes the query to locate one or more documents in accordance with a search engine having a discriminative classifier, wherein the discriminative classifier is trained with a plurality of artificial query examples. The method then presents a result of the processing to the user.

Abstract: Techniques for query statistics inheritance are provided. Statistics for a database are used to determine selectivity estimates for sparse joins and tables being joined together within a given query. These statistics are inherited up to the given query along with the selectivity estimates and provided to a database optimizer to use when developing query plans and selecting an optimal query plan for the given query.

Abstract: According to one embodiment of the invention, a method includes generating a person-name Information Gain (IG)-Tree and a relation IG-Tree from annotated data. The method also includes tagging and partial parsing of an input document. The names of the persons are extracted within the input document using the person-name IG-tree. Additionally, names of organizations are extracted within the input document. The method also includes extracting entity names that are not names of persons and organizations within the input document. Further, the relations between the identified entity names are extracted using the relation-IG-tree.

Abstract: Techniques are described herein for making a clean file snapshot of a target file. The techniques may be applied to a single target file, to a set of target files, or to an entire database The techniques involve transitioning the target file through a series of states. During each state, particular actions are performed and/or prevented. In the final state of each approach, a clean file snapshot of the target file exists. Transitioning through the states, only one of which does not allow new changes to be made to the target file, allows the database to remain online and available to a greater extent than is possible with an approach that prevents database changes for the duration of the clean file snapshot creation operation.

Abstract: A method, computer program product, and computing system for defining a transactional log file for a data storage system including a data array. A first plurality of IO requests for the data storage system is processed. The transactional log file is updated to include information concerning the first plurality of IO requests. An IO pointer is defined to locate a specific IO request of the first plurality of IO requests within the transactional log file. File system metadata is defined on the data array for the data storage system.

Abstract: Systems and methods are disclosed for identifying associations between binary samples, such as e-mail files and their attachments or a document and an executable program associated with the document. In one implementation, the method includes receiving a plurality of binary samples, and extracting metadata from the plurality of binary samples. The metadata for a binary sample from the plurality of binary samples includes a set of attributes of the binary sample. The method further includes identifying a set of associations between the plurality of binary samples based on the extracted metadata. Each association is characterized by at least one attribute the associated binary samples have in common, and each association has a confidence level indicative of a strength of the association. The method also includes identifying associations with a confidence level that exceeds a predefined threshold.

Abstract: Systems and methods of determining computing device characteristics from computer network activity are provided. A data processing system can obtain data identifying a global cluster that indicates an interest category and can create a sub-cluster of the global cluster based on a characteristic common to content access computing devices. A weight indicating a correlation between the characteristic common to content access computing devices and the interest category can be assigned to the sub-cluster. Responsive to a communication between a first content access computing device and a content publisher computing device, the data processing system can identify a characteristic. The data processing system can associate the first content access computing device with the sub-cluster based on the characteristic of the first content access computing device and the characteristic common to the content access computing devices, and based on the weight can determine a status of the first content access computing device.

Abstract: A spam score is assigned to a business listing when the listing is received at a search entity. A noise function is added to the spam score such that the spam score is varied. In the event that the spam score is greater than a first threshold, the listing is identified as fraudulent and the listing is not included in (or is removed from) the group of searchable business listings. In the event that the spam score is greater than a second threshold that is less than the first threshold, the listing may be flagged for inspection. The addition of the noise to the spam scores prevents potential spammers from reverse engineering the spam detecting algorithm such that more listings that are submitted to the search entity may be identified as fraudulent and not included in the group of searchable listings.

Abstract: Disclosed herein is a terminal apparatus including an extraction portion configured to extract from a content to be reproduced signature data representative of a characteristic of the content; a query generation portion configured to generate a query including the extracted signature data; a communication portion configured to transmit the generated query to a server apparatus and receive a response returned therefrom in reply to the query; and an application execution portion configured to acquire and execute an application corresponding to an application identifier included in the received response.

Abstract: Disclosed is a system and method for extending search capabilities of contentment management systems, such as SharePoint 2013®, to enable geographic and name entity based searches. Geographic and named entity searches are enabled by a content enrichment web service. The content enrichment web service calls a geotagging or a named entity tagger web service application to tag crawled managed properties as input and return geographically or entity modified managed properties as output. The system associates one or more geographically and named entity modified managed properties with content and stores this information as metadata in a SharePoint 2013® search index. Thus, the search system allows users to identify a particular geographic entity the user is interested in finding, and to receive search results directly related to that geographic entity on SharePoint 2013®.

Abstract: An information processing device is connected to multiple information processing terminals wherein multiple types of expressions exhibited by a user during playback of content are detected, evaluation of each played-back content is obtained, of the detected plurality of types of expressions a predetermined expression serving as a high evaluation index indicated by the user during playback of high evaluation content is identified, and the expression information serving as a identified high evaluation index and the information expressing evaluation as to each content are transmitted. The information device includes a receiving unit to receive expression information serving as the high evaluation index from multiple information processing terminals; a user identifying unit to identify a user indicating an expression of similar high evaluation index for the same content; a recommended content identifying unit to identify recommended content having a high evaluation to other similar users; and a transmitting unit.

Abstract: An embodiment provides a computer-implemented system and method for providing visual suggestions for cluster classification. One or more clusters comprising uncoded documents from a set are obtained. A different set of reference documents that are each classified with a code is designated. A cluster center in one of the clusters is identified. The cluster center is compared to one or more of the reference documents. Those of the reference documents that are similar to the cluster are identified based on the comparison. The classification codes of each of the similar reference documents are visually represented as a suggestion for assigning one of the classification codes to the cluster.

Abstract: Embodiments relate to a method to dynamically generate a user interface for computing a prediction on analytical models. The analytical models received from a computing device are parsed by a processor of a server to extract a plurality of analytical metadata and the extracted plurality of analytical metadata is stored in a set of metadata tables. Analytical relationship information from the one or more analytical models is extracted for scoring using the stored plurality of analytical metadata and is stored in a set of relationship tables created by the processor. The user interface is generated using the stored plurality of analytical metadata and displayed on computing device for receiving one or more inputs for each of the data entry fields from a user. The prediction is computed by applying the stored analytical relationship information on the received one or more inputs and displaying the computed prediction on the user interface.

Abstract: The present disclosure relates to a method of alerting users regarding newly disambiguated features. More specifically, a newly disambiguated feature may pass through different filters/restrictions, such as, the known knowledge base. The disclosed known knowledge base may filter the newly disambiguated feature, comparing the newly disambiguated features to the existing features to discover a new feature of interest. Particularly, the disclosed new feature of interest may include a new person, a new phone number, a new place, a new company, among others. Finally, if there is a new feature that did not match with the existing disambiguated features in the known knowledge base, then an alert may be emitted to a user.