Patents by Inventor Uri Lerner
Uri Lerner 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: 10452718Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: October 18, 2017Date of Patent: October 22, 2019Assignee: GOOGLE LLCInventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: 9817920Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: February 23, 2015Date of Patent: November 14, 2017Assignee: Google LLCInventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: 8965919Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: December 30, 2013Date of Patent: February 24, 2015Assignee: Google Inc.Inventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: 8626787Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: June 20, 2013Date of Patent: January 7, 2014Assignee: Google Inc.Inventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: 8473510Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: May 31, 2012Date of Patent: June 25, 2013Assignee: Google Inc.Inventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: 8214385Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: May 2, 2011Date of Patent: July 3, 2012Assignee: Google Inc.Inventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: 7945579Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: August 4, 2008Date of Patent: May 17, 2011Assignee: Google Inc.Inventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: 7877371Abstract: One embodiment of the present invention provides a system that selectively deletes clusters of conceptually-related words from a probabilistic generative model for textual documents. During operation, the system receives a current model, which contains terminal nodes representing random variables for words and contains one or more cluster nodes representing clusters of conceptually related words. Nodes in the current model are coupled together by weighted links, so that if an incoming link from a node that has fired causes a cluster node to fire with a probability proportionate to a weight of the incoming link, an outgoing link from the cluster node to another node causes the other node to fire with a probability proportionate to the weight of the outgoing link. Next, the system processes a given cluster node in the current model for possible deletion. This involves determining a number of outgoing links from the given cluster node to terminal nodes or cluster nodes in the current model.Type: GrantFiled: February 7, 2007Date of Patent: January 25, 2011Assignee: Google Inc.Inventors: Uri Lerner, Michael Jahr, Vishal Kasera
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Patent number: 7409383Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.Type: GrantFiled: March 31, 2004Date of Patent: August 5, 2008Assignee: Google Inc.Inventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
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Patent number: D533561Type: GrantFiled: March 26, 2004Date of Patent: December 12, 2006Assignee: Google, Inc.Inventors: Kerah Cottrell Pelczarski, Nikhil Bhatla, Adam Smith, Bay-Wei Chang, Dylan Parker, Jennifer McGrath Fitzpatrick, Uri Lerner, Marissa Ann Mayer, Marcellus Paulus van Lohuizen, Karen Anne White
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Patent number: D599372Type: GrantFiled: March 7, 2006Date of Patent: September 1, 2009Assignee: Google Inc.Inventors: Kerah Cottrell Pelczarski, Nikhil Bhatla, Adam Smith, Bay-Wei Chang, Dylan Parker, Jennifer McGrath Fitzpatrick, Uri Lerner, Marissa Ann Mayer, Marcellus Paulus van Lohuizen, Karen Anne White
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Patent number: D601154Type: GrantFiled: March 9, 2006Date of Patent: September 29, 2009Assignee: Google Inc.Inventors: Kerah Cottrell Pelczarski, Nikhil Bhatla, Adam Smith, Bay-Wei Chang, Dylan Parker, Jennifer McGrath Fitzpatrick, Uri Lerner, Marissa Ann Mayer, Marcellus Paulus van Lohuizen, Karen Anne White
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Patent number: D607465Type: GrantFiled: March 9, 2006Date of Patent: January 5, 2010Assignee: Google Inc.Inventors: Kerah Cottrell Pelczarski, Nikhil Bhatla, Adam Smith, Bay-Wei Chang, Dylan Parker, Jennifer McGrath Fitzpatrick, Uri Lerner, Marissa Ann Mayer, Marcellus Paulus van Lohuizen, Karen Anne White