Patents by Inventor Joshua Mozersky
Joshua Mozersky 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: 9576313Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: GrantFiled: April 17, 2015Date of Patent: February 21, 2017Assignee: Piksel, Inc.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Myer Joshua Mozersky, Tamer El Shazli
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Publication number: 20150324889Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: ApplicationFiled: April 17, 2015Publication date: November 12, 2015Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Myer Joshua Mozersky
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Patent number: 9015185Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: GrantFiled: December 5, 2013Date of Patent: April 21, 2015Assignee: Piksel, Inc.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Myer Joshua Mozersky
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Publication number: 20140297658Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles, which can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can be used to match user profiles to provide mate-matching.Type: ApplicationFiled: May 23, 2014Publication date: October 2, 2014Applicant: PIKSEL, INC.Inventors: Issar Amit Kanigsberg, Daniel M. Veidlinger, Myer Joshua Mozersky, Tamer El Shazli
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Publication number: 20140289239Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles, which can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. A user interface can be provided to enable the user to fine-tune product and service recommendation results.Type: ApplicationFiled: May 23, 2014Publication date: September 25, 2014Applicant: PIKSEL, INC.Inventors: Issar Amit Kanigsberg, Daniel M. Veidlinger, Myer Joshua Mozersky, Tamer El Shazli
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Publication number: 20140180868Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: ApplicationFiled: December 5, 2013Publication date: June 26, 2014Applicant: PIKSEL, INC.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Myer Joshua Mozersky
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Publication number: 20140046776Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles at social networking and online dating applications and blogs. The profiles and blogs can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can enable advertisers to create and manage online advertising campaigns using a campaign manager in which they attach descriptions to ads in their inventory, thereby generating a profile for each ad which is then compared to the profiles in the target online environment.Type: ApplicationFiled: August 14, 2013Publication date: February 13, 2014Applicant: PIKSEL, INC.Inventors: Issar Amit Kanigsberg, Daniel M. Veidlinger, Myer Joshua Mozersky, Tamer El Shazli
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Patent number: 8615524Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: GrantFiled: January 26, 2012Date of Patent: December 24, 2013Assignee: Piksel, Inc.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Tamer El Shazli, Myer Joshua Mozersky
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Publication number: 20120330992Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: ApplicationFiled: January 26, 2012Publication date: December 27, 2012Applicant: Kit-Digital Inc.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Tamer El Shazli, Myer Joshua Mozersky
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Publication number: 20120066072Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles at social networking and online dating applications and blogs. The profiles and blogs can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can enable advertisers to create and manage online advertising campaigns using a campaign manager in which they attach descriptions to ads in their inventory, thereby generating a profile for each ad which is then compared to the profiles in the target online environment.Type: ApplicationFiled: June 7, 2011Publication date: March 15, 2012Inventors: Issar Amit Kanigsberg, Daniel M. Veidlinger, Myer Joshua Mozersky, Tamer El Shazli
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Patent number: 8122047Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: GrantFiled: May 17, 2010Date of Patent: February 21, 2012Assignee: Kit Digital Inc.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Tamer El Shazli, Myer Joshua Mozersky
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Publication number: 20100318423Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: ApplicationFiled: May 17, 2010Publication date: December 16, 2010Applicant: Peerset Inc.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Tamer El Shazli, Myer Joshua Mozersky
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Patent number: 7734641Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: GrantFiled: May 25, 2007Date of Patent: June 8, 2010Assignee: Peerset, Inc.Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Tamer El Shazli, Myer Joshua Mozersky
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Publication number: 20080294622Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software may determine the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The engine will allow the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.Type: ApplicationFiled: May 25, 2007Publication date: November 27, 2008Inventors: Issar Amit Kanigsberg, Joshua Mozersky, Daniel M. Veidlinger
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Publication number: 20080294624Abstract: A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms taken from user profiles at social networking and online dating applications and blogs. The profiles and blogs can include interests, eccentricities, age, gender, and location information associated with the user. The interest information can include music, movies, sports and personality traits. Based on the user's profile information, the system determines which ad from a stock of ads is best suited to a given profile and delivers that ad. The system can enable advertisers to create and manage online advertising campaigns using a campaign manager in which they attach descriptions to ads in their inventory, thereby generating a profile for each ad which is then compared to the profiles in the target online environment.Type: ApplicationFiled: October 31, 2007Publication date: November 27, 2008Applicant: Ontogenix, Inc.Inventors: Issar Amit Kanigsberg, Daniel M. Veidlinger, Myer Joshua Mozersky, Tamer El Shazli