Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending Cannabis products based on objective data of the chemical composition of products is described. This system allows Cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.

Abstract: A system for categorizing, visualizing, and recommending cannabis products based on objective data of the chemical composition of products is described. This system allows cannabis products 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.