Patent application number | Description | Published |
20100145928 | METHODS AND SYSTEMS TO COMMUNICATE INFORMATION - There is provided a method and system to communicate information. The system receives a first query that contains at least one constraint and retrieves a first plurality of data items from a database based on the first query. Next the system generating a first distribution based on the first plurality of data items, the first distribution utilizing a first plurality of domains used to identify data items. Next the system generates a second distribution based on a plurality of requests to view a second plurality of data items. Next the system generates a third distribution based on the first distribution and the second distribution. Finally the system generates interface information, to be communicated to a user, based on the third distribution. | 06-10-2010 |
20120150832 | METHOD AND SYSTEM TO ENABLE NAVIGATION OF DATA ITEMS - There is provided methods and systems to enable navigation of data items based on aspect-value pairs extracted from the data items. First, the system receives the query. Second, the system identifies the plurality of data items found by the query. Third, the system identifies an aspect of at least one of the plurality of data items. Fourth, the system identifies a value of a plurality of values corresponding to the aspect. Fifth, the system a request to navigate to a set of data items within the plurality of data items, the request comprising the aspect and a requested value of the plurality of values. Each one of the set of data items has the aspect and the value. Sixth, the system presents, in a user interface, information about each one of the set of data items. | 06-14-2012 |
20120290550 | METHOD AND SYSTEM TO IDENTIFY A PREFERRED DOMAIN OF A PLURALITY OF DOMAINS - There is provided methods and systems to identify a preferred domain of a plurality of domains corresponding to a query. First, the system receives the query. Second, the system accesses demand information corresponding to the query, the demand information including navigation information associated with the query. Third, the system accesses supply information corresponding to the query, the supply information including a count of data items in each of the plurality of domains that match the query. Fourth, the system identifies the preferred domain based on the demand information and the supply information. | 11-15-2012 |
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 |
20140280033 | RULE TRIGGERING FOR SEARCH RULE ENGINE - A computer-implemented system and method of executing search queries by a search rule engine is disclosed. Embodiments of the present disclosure comprise a search engine that may evaluate an arbitrary number of rule triggering conditions with constant run-time complexity, which may result in increased efficiency and faster searching relative to traditional search rule engine methods. | 09-18-2014 |
20140289211 | METHOD AND SYSTEM FOR RESOLVING SEARCH QUERY AMBIGUITY IN A PRODUCT SEARCH ENGINE - Techniques for providing improved search results for queries are provided. The techniques include obtaining a candidate pair from a query log comprising a single word unigram and a two word bigram which expresses the same content as the unigram, receive customer interaction data from the query log for the unigram and the bigram, and determining if the candidate pair includes a dominant form, equivalent form, or un-comparable pair. The techniques also include creating a rule regarding treatment of the unigram or bigram in analyzing a query. The techniques further include receiving a query, analyzing the query to identify modified query results according to the rule, and presenting the query results. | 09-25-2014 |
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 |