Patents by Inventor Daniel Marc Veidlinger
Daniel Marc Veidlinger 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).
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Publication number: 20080294621Abstract: 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 25, 2007Publication date: November 27, 2008Inventors: Issar Amit Kanigsberg, Daniel Marc Veidlinger, Tamer El Shazli