Patents by Inventor Aleksander Kolcz
Aleksander Kolcz has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9424346Abstract: A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.Type: GrantFiled: April 23, 2012Date of Patent: August 23, 2016Assignee: Mercury Kingdom Assets LimitedInventors: Abdur R. Chowdhury, Steven Michael Beitzel, David Dolan Lewis, Aleksander Kolcz
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Publication number: 20160156577Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data fro the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.Type: ApplicationFiled: February 3, 2016Publication date: June 2, 2016Inventors: Joshua ALSPECTOR, Aleksander KOLCZ
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Patent number: 9270625Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data for the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.Type: GrantFiled: August 5, 2014Date of Patent: February 23, 2016Assignee: AOL Inc.Inventors: Joshua Alspector, Aleksander Kolcz
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Patent number: 9171070Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: GrantFiled: September 13, 2012Date of Patent: October 27, 2015Assignee: FACEBOOK, INC.Inventors: Joshua Alspector, Abdur R. Chowdhury, Aleksander Kolcz
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Publication number: 20140344387Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be a determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data for the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.Type: ApplicationFiled: August 5, 2014Publication date: November 20, 2014Inventors: Joshua ALSPECTOR, Aleksander KOLCZ
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Patent number: 8799387Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails.Type: GrantFiled: July 3, 2012Date of Patent: August 5, 2014Assignee: AOL Inc.Inventors: Joshua Alspector, Aleksander Kolcz
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Patent number: 8768940Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: GrantFiled: September 13, 2012Date of Patent: July 1, 2014Assignee: Facebook, Inc.Inventors: Joshua Alspector, Abdur R. Chowdhury, Aleksander Kolcz
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Patent number: 8713014Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: GrantFiled: May 14, 2010Date of Patent: April 29, 2014Assignee: Facebook, Inc.Inventors: Joshua Alspector, Abdur R. Chowdhury, Aleksander Kolcz
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Patent number: 8626758Abstract: Systems and methods are provided for ranking documents. In accordance with certain implementations, a user selects one or more documents for viewing from a set of documents. Documents selected by the user for viewing within a predetermined time period are maintained in a profile associated with the user. At least one positive word vector is generated using words contained in at least a segment of at least one of the documents stored in the profile. At least one negative word vector is generated using words contained in at least a segment of at least one of the documents that was not selected by the user for viewing. Document word vectors are generated for documents to be ranked. A vector space relationship analysis of the positive word vector, the negative word vector, and the document word vectors is performed. The documents are ranked based on the performed vector space relationship analysis.Type: GrantFiled: November 4, 2011Date of Patent: January 7, 2014Assignee: AOL Inc.Inventors: Joshua Alspector, Aleksander Kolcz
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Patent number: 8504627Abstract: An e-mail filter is used to classify received e-mails so that some of the classes may be filtered, blocked, or marked. The e-mail filter may include a classifier that can classify an e-mail as belonging to a particular class and an e-mail grouper that can detect substantially similar, but possibly not identical, e-mails. The e-mail grouper determines groups of substantially similar e-mails in an incoming e-mail stream. For each group, the classifier determines whether one or more test e-mails from the group belongs to the particular class. The classifier then designates the class to which the other e-mails in the group belong based on the results for the test e-mails.Type: GrantFiled: April 5, 2010Date of Patent: August 6, 2013Assignee: Bright Sun TechnologiesInventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Publication number: 20130173518Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: ApplicationFiled: September 15, 2012Publication date: July 4, 2013Applicant: Facebook, Inc.Inventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Publication number: 20130173562Abstract: A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes.Type: ApplicationFiled: September 13, 2012Publication date: July 4, 2013Inventors: Joshua ALSPECTOR, Aleksander KOLCZ, Abdur R. CHOWDHURY
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Publication number: 20130173563Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: ApplicationFiled: September 15, 2012Publication date: July 4, 2013Inventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Patent number: 8429178Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: GrantFiled: July 18, 2011Date of Patent: April 23, 2013Assignee: Facebook, Inc.Inventors: Joshua Alspector, Aleksander Kolcz, Abdur R. Chowdhury
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Publication number: 20130091131Abstract: Systems and methods are provided for classifying a search query. A first group of query classifiers can be used to evaluate a query relative to various subject matter domains. The evaluation results from the first group of domain classifiers can then be used by a second group of meta-classifiers. The meta-classifiers are associated with meta-classifier categories that may correspond to a domain or that may correspond to a plurality of domains. The assigned meta-classifier category for a query can be used in any convenient manner, such as by triggering additional uses of the search query to match images or other alternative types of documents, or such as by allowing a subject matter domain to be assigned to the query.Type: ApplicationFiled: October 6, 2011Publication date: April 11, 2013Applicant: MICROSOFT CORPORATIONInventors: JAKUB SZYMANSKI, LI JIANG, ALEKSANDER KOLCZ
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Patent number: 8370930Abstract: Detecting spam from metafeatures of an email message. As a part of detecting spam, the email message is accessed and a distribution of numerical values is accorded to a set of features of the email message. It is determined whether the distribution of numerical values accorded the set of features of the email message is consistent with that of spam. Access is provided to the determination of whether the email message has a distribution of numerical values accorded the set of features that is consistent with that of spam.Type: GrantFiled: February 28, 2008Date of Patent: February 5, 2013Assignee: Microsoft CorporationInventors: Chad Mills, Ryan Colvin, Kevin Chan, Robert McCann, Aleksander Kolcz
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Publication number: 20130007026Abstract: In a single-signature duplicate document system, a secondary set of attributes is used in addition to a primary set of attributes so as to improve the precision of the system. When the projection of a document onto the primary set of attributes is below a threshold, then a secondary set of attributes is used to supplement the primary lexicon so that the projection is above the threshold.Type: ApplicationFiled: September 13, 2012Publication date: January 3, 2013Inventors: Joshua ALSPECTOR, Aleksander KOLCZ, Abdur R. CHOWDHURY
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Publication number: 20130007152Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails.Type: ApplicationFiled: July 3, 2012Publication date: January 3, 2013Inventors: Joshua Alspector, Aleksander Kolcz
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Publication number: 20120209870Abstract: A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.Type: ApplicationFiled: April 23, 2012Publication date: August 16, 2012Inventors: Abdur R. CHOWDHURY, Steven Michael BEITZEL, David Dolan LEWIS, Aleksander KOLCZ
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Patent number: 8214437Abstract: In general, a two or more stage spam filtering system is used to filter spam in an e-mail system. One stage includes a global e-mail classifier that classifies e-mail as it enters the e-mail system. The parameters of the global e-mail classifier generally may be determined by the policies of e-mail system owner and generally are set to only classify as spam those e-mails that are likely to be considered spam by a significant number of users of the e-mail system. Another stage includes personal e-mail classifiers at the individual mailboxes of the e-mail system users. The parameters of the personal e-mail classifiers generally are set by the users through retraining, such that the personal e-mail classifiers are refined to track the subjective perceptions of their respective user as to what e-mails are spam e-mails. Retraining data for the personal e-mail classifiers may be aggregated and a subset of the aggregate may be chosen for use in retraining the global e-mail classifier.Type: GrantFiled: December 23, 2003Date of Patent: July 3, 2012Assignee: AOL Inc.Inventors: Joshua Alspector, Aleksander Kolcz