Patents by Inventor Vladimir Zelevinsky
Vladimir Zelevinsky 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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Publication number: 20130238391Abstract: A system for generating web page analytics generates a plurality of web pages that each include a plurality of products and a plurality of web page sections, and each product is displayed in at least one of the sections of the web page. The system receives a plurality of selections by a user of one or more of the products and, for each selection, logs data that includes a selected product and a section of the web page where the selected product was displayed when it was selected by the user. The system then generates web page analytics from the logged data, where the analytics are based at least on the selected product and the corresponding section of the web page where the selected product was displayed.Type: ApplicationFiled: May 11, 2012Publication date: September 12, 2013Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Jeffrey Thomas KLUMPP, John Thomas LYNCH, II, Jonathan GRIMM, Vladimir ZELEVINSKY, Benjamin TRAFTON
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Publication number: 20130191377Abstract: A system for generating one or more recommended items for a user receives a target items set for the user which includes two or more target items. The system then queries a database of a plurality of related items sets using the target items set, where each related items set comprises a plurality of related items. In response to the querying, the system retrieves one or more similar items sets from the plurality of related item sets, each similar items set being similar to the target items set. The system then performs a union of the similar items sets to generate the recommended items.Type: ApplicationFiled: April 20, 2012Publication date: July 25, 2013Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Vladimir ZELEVINSKY, Jonathan GRIMM
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Publication number: 20120197877Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: July 25, 2011Publication date: August 2, 2012Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 8219593Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: July 10, 2012Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Joshua William Kapell
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Publication number: 20110276581Abstract: System and methods for dynamically generating taxonomies of keywords and/or descriptors are provided. In one example, a navigation system for accessing a corpus of information provides for dynamic taxonomy generation expanding upon a topic entered by a user in a user interface. The navigation system generates, dynamically, at least one term associated with the received topic from at least one sense or meaning retrieved from a semantic network. The navigation system is further configured to present to the user the at least one term as a selectable refinement in response to receiving the topic entered by the user in the user interface. The system can also be configured to retrieve terms and/or senses from the semantic network and evaluate any retrieved terms for their informativeness. The system can further cache any information generated during taxonomy creation and update the corpus to reflect useful refinements.Type: ApplicationFiled: May 10, 2010Publication date: November 10, 2011Inventor: Vladimir Zelevinsky
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Patent number: 8051084Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: November 1, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Paul Alexander Wehner
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Patent number: 8051073Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: November 1, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 8024327Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: September 20, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 8005643Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: June 25, 2008Date of Patent: August 23, 2011Assignee: Endeca Technologies, Inc.Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Patent number: 7548913Abstract: A method of generating a report from multiple sources includes obtaining a topic based on input queries relating to the topic, obtaining information about the topic from the multiple sources, where the information includes excerpts from the multiple sources that meet one or more criteria, and generating the report using the excerpts. Generating the report includes obtaining subtopics for the excerpts, organizing the excerpts based on the subtopics, and editing text in the excerpts.Type: GrantFiled: August 31, 2005Date of Patent: June 16, 2009Assignee: Lycos, Inc.Inventors: Christopher A. Ekberg, Brian Ulicny, Gray Watson, Steven Quince, Alden Dorosario, Vladimir Zelevinsky, Stavros Michael MacRakis
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Publication number: 20090006387Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Herng Albert Sheu
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Publication number: 20090006383Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20090006385Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Paul Alexander Wehner
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Publication number: 20090006386Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20090006438Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky, Joshua William Kapell
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Publication number: 20090006384Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20090006382Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: June 25, 2008Publication date: January 1, 2009Inventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir Zelevinsky
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Publication number: 20070050353Abstract: A method of generating a report from multiple sources includes obtaining a topic based on input queries relating to the topic, obtaining information about the topic from the multiple sources, where the information includes excerpts from the multiple sources that meet one or more criteria, and generating the report using the excerpts. Generating the report includes obtaining subtopics for the excerpts, organizing the excerpts based on the subtopics, and editing text in the excerpts.Type: ApplicationFiled: August 31, 2005Publication date: March 1, 2007Inventors: Christopher Ekberg, Brian Ulicny, Gray Watson, Steven Quince, Alden Dorosario, Vladimir Zelevinsky, Stavros MacRakis