Patents by Inventor David L. Selinger
David L. Selinger 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: 8510178Abstract: A performance analysis system analyzes the performance of affiliate sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate sites to improve performance. An association mining component analyzes transaction data attributable to specific categories of affiliate sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within a marketplace or auction system.Type: GrantFiled: June 7, 2012Date of Patent: August 13, 2013Assignee: Amazon Technologies, Inc.Inventors: Dilip S. Kumar, David L. Selinger, Michelle K. Anderson, Paat Rusmevichientong
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Publication number: 20120245976Abstract: A performance analysis system analyzes the performance of affiliate sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate sites to improve performance. An association mining component analyzes transaction data attributable to specific categories of affiliate sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within an marketplace or auction system.Type: ApplicationFiled: June 7, 2012Publication date: September 27, 2012Inventors: Dilip S. Kumar, David L. Selinger, Michelle K. Anderson, Paat Rusmevichientong
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Patent number: 8224715Abstract: A performance analysis system analyzes the performance of affiliate sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate web sites to improve performance. An association mining component analyzes transaction data attributable to specific categories or types of affiliate web sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within an online mall, online marketplace, or online auction system.Type: GrantFiled: August 9, 2010Date of Patent: July 17, 2012Assignee: Amazon Technologies, Inc.Inventors: Dilip S. Kumar, David L. Selinger, Michelle K. Anderson, Paat Rusmechientong
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Publication number: 20100324979Abstract: A performance analysis system analyzes the performance of affiliate sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate web sites to improve performance. An association mining component analyzes transaction data attributable to specific categories or types of affiliate web sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within an online mall, online marketplace, or online auction system.Type: ApplicationFiled: August 9, 2010Publication date: December 23, 2010Inventors: Dilip S. Kumar, David L. Selinger, Michelle K. Anderson, Paat Rusmevichientong
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Patent number: 7797197Abstract: A performance analysis engine analyzes the performance of affiliate web sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate web sites to improve performance. An association mining component analyzes transaction data attributable to specific categories or types of affiliate web sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within an online mall, online marketplace, or online auction system.Type: GrantFiled: November 12, 2004Date of Patent: September 14, 2010Assignee: Amazon Technologies, Inc.Inventors: Dilip S. Kumar, David L. Selinger, Michelle K. Anderson, Paat Rusmevichientong
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Patent number: 7594189Abstract: An apparatus and methods advantageously select content items for dynamically-generated web pages in an intelligent and virtually autonomous manner. This permits the operator of the web site to rapidly identify and respond to trends, thereby advantageously updating the web site relatively quickly and efficiently without or with less time consuming and expensive manual labor. User interaction for a plurality of users with the web site is collected in a database. For various content items, the database is mined to extract relationships between probability and references of select attributes in probability models. When a new web page is requested, attributes, which can include attributes associated with a user, are used as references to the applicable probability models of selected content items, combined with value weighting to generate expected values, and selected for use in the web page at least partially based on the expected values.Type: GrantFiled: March 29, 2006Date of Patent: September 22, 2009Assignee: Amazon Technologies, Inc.Inventors: Toby H. Walker, David L. Selinger, John M. Rauser, Patrik P. Sundberg
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Patent number: 7536322Abstract: Computer processes are disclosed for identifying and informing users of early adopter items. In one embodiment, scores are generated for particular items represented in an electronic catalog, with each score reflecting an extent to which a corresponding item has been ordered by customers who tend to order items promptly after they become available. Information pertaining to such scores may be incorporated into item detail pages of the electronic catalog to assist customers in making item selection decisions. For example, the electronic catalog may identify specific items as early adopter items, and/or may display information pertaining to the degree to which specific items are early adopter items.Type: GrantFiled: March 19, 2004Date of Patent: May 19, 2009Assignee: Amazon Technologies, Inc.Inventors: David L. Selinger, Bhavnish Lathia, Hoi-Cheung Pang, David Liu, ShengHuo Zhu, Paat Rusmevichientong