The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 30, 2024
Filed:
Nov. 15, 2021
Leafly Holdings, Inc., Seattle, WA (US);
Nickolas Jikomes, Seattle, WA (US);
Marc Brandon Hensley, Seattle, WA (US);
Jason Makuch, Seattle, WA (US);
Andrew MacRae, Seattle, WA (US);
Nathan Lauer, Seattle, WA (US);
Matthew Bollen, Seattle, WA (US);
Stephanie Smith, Seattle, WA (US);
Camille Lim, Seattle, WA (US);
Michael Wityk, Seattle, WA (US);
Adam Hilborn, New York, NY (US);
Sam Starr, Sao Paulo, BR;
Christian Ramsey, Seattle, WA (US);
Renata Le Duartes, III, Seattle, WA (US);
Santiago Seira, San Francisco, CA (US);
Anna Zeng, Seattle, WA (US);
Leafly Holdings, Inc., Seattle, WA (US);
Abstract
A system for categorizing, visualizing, and recommendingproducts based on objective data of the chemical composition of products is described. This system allowsproducts to be visualized and compared based on their chemical composition, even by laypeople with little or no knowledge of the underlying objective data. A recommendation system is built upon this which can recommend products for consumption, including a user interface for receiving user input, which includes at least one of demographic data, desired level of psychoactivity, or prior experience with the product, a merchant interface for receiving merchant input, including at least one of general data descriptive of the regulated product, lab data descriptive of the regulated products chemical composition, and user data descriptive of subjective effects of the regulated product on a user; and a decision engine making a recommendation of product according to correlation of the lab data with the user data.