Patent application number | Description | Published |
20150154301 | METHOD AND SYSTEM FOR TESTING SPAM RESULT DETECTION ALGORITHMS - A method and system tests spam result detection algorithms. A query processing server is operable to test one or more spam filtering algorithms by submitting high risk queries for processing. The method and system then track whether the spam filtering algorithms successfully filter spam results from the high risk queries. If spam results are detected within the response to the high risk queries, then the spam filtering algorithms are identified as faulty and appropriate action is taken. The spam filtering algorithms may be tested using high risk queries previously detected by the same algorithms, in order to verify that the algorithms continue to function properly. | 06-04-2015 |
20150154607 | SYSTEMS AND METHODS OF CORRELATING BUSINESS INFORMATION TO DETERMINE SPAM, CLOSED BUSINESSES, AND RANKING SIGNALS - Systems and methods are provided for determining whether given business listings are spam or are closed businesses. In one example, a system receives a business listing from a user. The business listing contains a geolocation and the name of a business. The system also receives one or more street level images related to a geographic object that is at or near the same geolocation as the business listing. The system determines if the business listing is spam or is closed based on the received street level images by determining if the geographic object is the business or by analyzing whether the business associated with the listing is shown in any of the street level images. | 06-04-2015 |
20150154609 | METHOD AND SYSTEM FOR IDENTIFYING BUSINESS RECORDS - A method and system as described identifies business records. A business listing stores one or more business records. In order to filter spam records, the method and system operate to identify whether a target business record is a spam business record. To identify the target record as a spam record, the method and system compare extracted characteristics of the target record with characteristics of known spam or good business records. Depending upon the similarity with the known business records, the target business record is identified as a spam record or a good record. | 06-04-2015 |
20150154610 | DETECTING POTENTIALLY FALSE BUSINESS LISTINGS BASED ON AN ANOMALY DETECTION THRESHOLD - An apparatus for detecting potentially false business listings is provided. The apparatus may include a memory that stores a plurality of business listings and a plurality of corresponding impression values for the business listings. The apparatus may also include a processor operative to provide one or more business listings to one or more client devices during a first time period. During the first time period, the processor may determine one or more impression values for the provided one or more business listings. Based on one or more of these impression values, the processor may further determine an anomaly detection threshold. The processor may then compare the anomaly detection threshold with one or more impression values stored during a second time period in which the one or more business listings were requested. Based on this comparison, the processor may identify potentially false business listings in the plurality of business listings. | 06-04-2015 |
20150161619 | VERIFYING A BUSINESS LISTING BASED ON PHOTOGRAPHIC BUSINESS LISTING INFORMATION OBTAINED THROUGH IMAGE RECOGNITION - An apparatus for verifying the authenticity of a potentially false business listing is provided. The apparatus may include a memory that stores a plurality of business types and a plurality of business listings. The business types may identify one or more spam business types. The apparatus may further include a processor in communication with the memory that identifies a selected one of the business listings as a potentially false business listing when the business type of the selected business listing is identified as one of the spam business listing types. The apparatus may then communicate a request for a photograph of a business corresponding to the identified business listing and extract photographic business listing information from the requested photograph. When the extracted photographic business listing information does not match the identified business listing, the apparatus may remove the business listing from the plurality of business listings. | 06-11-2015 |
20150187201 | NOTIFICATION ENGINE - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing recommendations to users. One of the methods includes receiving data indicating a selection, by a user, of a notification option relating to a first entity, adding the first entity to an interest list for the user, determining, based at least on adding the first entity to the interest list for the user, to provide a notification relating to an entity, and providing, based on determining to provide the notification relating to the entity, the notification. | 07-02-2015 |
Patent application number | Description | Published |
20100068392 | PROCESS FOR THE DEMULSIFYING CLEANING OF METALLIC SURFACES - The demulsifying cleaning of metallic surfaces which may be contaminated with oil(s) with at least one further nonpolar organic compound, with fat(s), with soap(s), with particulate dirt or with at least one anionic organic compound using an aqueous, alkaline, surfactant-containing bath solutions. | 03-18-2010 |
20120273013 | PROCESS FOR THE DEMULSIFYING CLEANING OF METALLIC SURFACES - The demulsifying cleaning of metallic surfaces which may be contaminated with oil(s) with at least one further nonpolar organic compound, with fat(s), with soap(s), with particulate dirt or with at least one anionic organic compound using an aqueous, alkaline, surfactant-containing bath solutions. | 11-01-2012 |
20140041693 | PROCESS FOR THE DEMULSIFYING CLEANING OF METALLIC SURFACES - The demulsifying cleaning of metallic surfaces which may be contaminated with oil(s) with at least one further nonpolar organic compound, with fat(s), with soap(s), with particulate dirt or with at least one anionic organic compound using an aqueous, alkaline, surfactant-containing bath solutions. | 02-13-2014 |
20140311533 | PROCESS FOR THE DEMULSIFYING CLEANING OF METALLIC SURFACES - The demulsifying cleaning of metallic surfaces which may be contaminated with oil(s) with at least one further nonpolar organic compound, with fat(s), with soap(s), with particulate dirt or with at least one anionic organic compound using an aqueous, alkaline, surfactant-containing bath solutions. | 10-23-2014 |