Patent application number | Description | Published |
20100167305 | Methods of Detecting Mutations Associated With Ataxia-Ocular Apraxia 2 (AOA2) - Methods of identifying polymorphisms associated with ataxia-ocular apraxia 2 (AOA2), are described. The polymorphisms associated with AOA2 include specific mutations in the senataxin (SETX) gene. Also described are methods of diagnosis of | 07-01-2010 |
20110230365 | Mutations Associated With Cystic Fibrosis - The present invention provides novel mutations identified in the cystic fibrosis transmembrane conductance regulator (CFTR) gene that can be used for a more accurate diagnosis of cystic fibrosis (CF) and CF related disorders. Methods for testing a sample obtained from a subject to determine the presence of one or more mutations in the CFTR gene are provided wherein the presence of one or more mutations indicates that the subject has CF or a CF related disorder, or is a carrier of a CFTR mutation. | 09-22-2011 |
20120237934 | METHODS OF DETECTING MUTATIONS ASSOCIATED WITH ATAXIA-OCULAR APRAXIA 2 (AOA2) - Methods of identifying polymorphisms associated with ataxia-ocular apraxia 2 (AOA2), are described. The polymorphisms associated with AOA2 include specific mutations in the senataxin (SETX) gene. Also described are methods of diagnosis of AOA2, as well as methods of assessing an individual for carrier status for AOA2. | 09-20-2012 |
20140234842 | Mutations Associated With Cystic Fibrosis - The present invention provides novel mutations identified in the cystic fibrosis transmembrane conductance regulator (CFTR) gene that can be used for a more accurate diagnosis of cystic fibrosis (CF) and CF related disorders. Methods for testing a sample obtained from a subject to determine the presence of one or more mutations in the CFTR gene are provided wherein the presence of one or more mutations indicates that the subject has CF or a CF related disorder, or is a carrier of a CFTR mutation. | 08-21-2014 |
20140323318 | METHODS OF DETECTING MUTATIONS ASSOCIATED WITH ATAXIA-OCULAR APRAXIA 2 (AOA2) - Methods of identifying polymorphisms associated with ataxia-ocular apraxia 2 (AOA2), are described. The polymorphisms associated with AOA2 include specific mutations in the senataxin (SETX) gene. Also described are methods of diagnosis of AOA2, as well as methods of assessing an individual for carrier status for AOA2. | 10-30-2014 |
Patent application number | Description | Published |
20110295658 | COLLECTING MEDIA DATA DESCRIPTIVE OF A PRODUCT - A crowd-sourcing system performs a method that includes generating a request that a user provide candidate media data to the crowd-sourcing system. The candidate media is descriptive of a product, and the request includes information about the product. The crowd-sourcing system transmits the request to a user system and receives the candidate media data from the user system. The crowd-sourcing system selects the candidate media data as stock media data for the product. The selection of the candidate media data may be based on a selection criterion, such as a grade of the candidate media data determined by the crowd-sourcing system. The crowd-sourcing system provides a reward to the user based on the selecting of the candidate media data as the stock media data for the product. | 12-01-2011 |
20120166266 | ENABLING A SECOND SYSTEM TO MANAGE SELECTED ANONYMOUS USERS OF A FIRST SYSTEM IN A PERFORMANCE OF A TASK - In a method of enabling a second system to manage selected anonymous users of a first system in a performance of a task, a rule is received from a second system, the rule specifying a criterion for a selection of a user from a plurality of users of the first system. A user is selected from the plurality of users, the selecting based on the criterion, the selecting including searching a record of a database, the record containing data pertaining to an activity of the user with respect to the first system, the database being inaccessible to the second system. A request is forwarded from the second system to the user, the request requesting that the user perform a task. A result is sent to the second system, the result including information pertaining to a performance of the task by the user. | 06-28-2012 |
20130226681 | COLLECTING MEDIA DATA DESCRIPTIVE OF A PRODUCT - A crowd-sourcing system performs a method that includes generating a request that a user provide candidate media data to the crowd-sourcing system. The candidate media is descriptive of a product, and the request includes information about the product. The crowd-sourcing system transmits the request to a user system and receives the candidate media data from the user system. The crowd-sourcing system selects the candidate media data as stock media data for the product. The selection of the candidate media data may be based on a selection criterion, such as a grade of the candidate media data determined by the crowd-sourcing system. The crowd-sourcing system provides a reward to the user based on the selecting of the candidate media data as the stock media data for the product. | 08-29-2013 |
20140214632 | Smart Crowd Sourcing On Product Classification - The present disclosure extends to methods, systems, and computer program products for updating a merchant database with new products in an optimized manner using both computer based classification models and human involvement in a smart crowd source environment. | 07-31-2014 |
20140214633 | RANKING KEYWORDS FOR PRODUCT TYPES WITH MANUAL CURATION - The present disclosure extends to methods, systems, and computer program products for automatically determining key words within item information with product types, and classifying new items within product types within a merchant's database. | 07-31-2014 |
20140214841 | Semantic Product Classification - The present disclosure extends to methods, systems, and computer program products for updating a merchant database with new product items and placing the new product items within a hierarchy of existing merchant product offerings. In operation, the new product is represented by a title and description that can be semantically classified using a plurality of classification models and reviewed by users for accuracy. | 07-31-2014 |
20140214844 | MULTIPLE CLASSIFICATION MODELS IN A PIPELINE - The present disclosure extends to methods, systems, and computer program products for updating a merchant database with new items automatically or with minimal human involvement. In operation, methods and systems disclosed use a pipeline of classification models to quantify new product information and create an accurate classification for the new product item. | 07-31-2014 |
20140214845 | PRODUCT CLASSIFICATION INTO PRODUCT TYPE FAMILIES - The present disclosure extends to methods, systems, and computer program products for updating a database with new products by classifying the new products within a hierarchy, and then using the hierarchy to improve the classification by including other product types within the classification for the new products. | 07-31-2014 |
20140214862 | AUTOMATED ATTRIBUTE DISAMBIGUATION WITH HUMAN INPUT - Systems and methods are disclosed herein for performing classification of documents or performing other tasks based on rules. The rules may include context rules that define a mapping that relates a value and context in a document to an attribute to which the value corresponds. Products are selected for labeling with attributes by identifying patterns, e.g. values and contexts that are not covered by a current rule set. Those products having a highest score are selected for labeling in a crowd sourcing forum, where the score is based on the number of non-covered patterns and a frequency of occurrence of the non-covered patterns in a document corpus. Proposed rules are generated for frequently occurring patterns and submitted to analysts for one or both of completion and validation. Proposed rules may include a proposed attribute for a frequently occurring value and corresponding context. | 07-31-2014 |
20140297570 | System And Method For High Accuracy Product Classification With Limited Supervision - Systems and methods are disclosed herein for classifying records, such as product records, using a machine learning algorithm. After training a classification model according to a machine learning algorithm using an initial training set, records are classified and high confidence classifications identified. Remaining classifications are submitted to a crowdsourcing forum that validates or invalidates the classifications or marks them as to unclear to evaluate. Invalidated classifications are automatically analyzed to identify one or both of classification values and categories having a high proportion of invalidated classifications. Requests are transmitted to analysts to generate training data that is added to the training set. The process of classifying records and obtaining crowdsourced validation thereof may then repeat. | 10-02-2014 |
20140314311 | SYSTEM AND METHOD FOR CLASSIFICATION WITH EFFECTIVE USE OF MANUAL DATA INPUT - Systems and methods are disclosed herein for classifying records, such as product records, using a machine learning algorithm. After training a classification model according to a machine learning algorithm using an initial training set, records are classified and high confidence classifications identified. Remaining classifications are submitted to a crowdsourcing forum that validates or invalidates the classifications or marks them as to unclear to evaluate. Invalidated classifications are automatically analyzed to identify one or both of classification values and categories having a high proportion of invalidated classifications. Requests are transmitted to analysts to generate training data that is added to the training set. The process of classifying records and obtaining crowdsourced validation thereof may then repeat. High confidence classifications may be identified using an accuracy model trained to relate an accuracy percentage to a confidence score output by the classification model. | 10-23-2014 |
20140324740 | Ontology-Based Attribute Extraction From Product Descriptions - Systems and methods are disclosed herein for obtaining a structured listing of attributes and corresponding values based on an unstructured document, such as a product description in a product record. Putative values are identified in the document and corresponding candidate attributes are identified in a taxonomy. Attribute-value pairs are then evaluated with respect to a plurality of rules. Attribute-value pairs and outputs of the one or more rules are evaluated using a machine-learning algorithm, such as a decision tree, in order to determine which attribute-value pairs to retain. Retained attribute-value pairs are stored and used to respond to search queries and facilitate comparison of products. Attributes selected may also be used to update a product template. | 10-30-2014 |
20140358931 | Product Record Normalization System With Efficient And Scalable Methods For Discovering, Validating, And Using Schema Mappings - Systems and methods are disclosed herein for generating a normalized record from an import record, the normalized record having attribute-value pairs corresponding to a native schema. In import records, a plurality of attribute-value are identified each having an attribute label not found in a native schema. One or more attribute labels in the native schema having as possible values one or more values corresponding to the values of the plurality of attribute-value pairs are also identified. The computer system generates one or more normalization rules relating one or more attribute labels of the plurality of attribute-value pairs to at least a portion of the one or more attribute labels in the native schema. Normalization rules may be validated by crowdsourcing. Normalization rules may be applied by identifying implicated rules by classifying the import record and identifying rules applicable to the classification. | 12-04-2014 |
20140372351 | RULE-BASED ITEM CLASSIFICATION - Systems and methods are disclosed herein for rule-based item classification. The methods include receiving, by a computing device, an item record for analysis. The computing device may determine ranked lists of item types using rule-based classifiers and machine learning-based classifiers. Then, the computing device may aggregate the ranked lists of item types to generate a combined ranked list of item types. | 12-18-2014 |
20140379616 | System And Method Of Tuning Item Classification - Systems and methods are disclosed herein for tuning an item classification. In one aspect, a method may include receiving, by a computing device, a classification request. The computing device may determine an item type of the item using a plurality of classifiers, and generate information of item type determination corresponding to the item. In response to a determination that a confidence score associated with the determined item type is less than a predetermined threshold, the computing device may provide the information of item type determination for analysis. | 12-25-2014 |
20150347572 | DETERMINATION OF PRODUCT ATTRIBUTES AND VALUES USING A PRODUCT ENTITY GRAPH - A method of determining structured product information for a product from a product description using a product entity graph. The product graph can include a plurality of nodes. Each of the plurality of nodes can include an entity value key, one or more entity names, and an entity name count for each of the one or more entity names. The method can include determining k-grams of the product description. The method also can include, for each k-gram of the product description, determining a matching node of the plurality of nodes of the product entity graph that corresponds to the k-gram and determining a derived entity name for the product from the one or more entity names of the matching node based at least in part on the entity name counts corresponding to the one or more entity names. Other embodiments of related systems and methods are also disclosed. | 12-03-2015 |