Abstract: According to an aspect, food recipes are scored and ranked based on one or more culinary objectives. A general dish specification includes a selected dish type, a selected cuisine type, and one or more culinary objectives. Candidate ingredient types are identified based on recipes of the selected dish type and the selected cuisine type in a recipe database. A number or range of ingredients are computed for each candidate ingredient type based on a frequency of occurrence of ingredients of each candidate ingredient type. A recipe closeness score is computed for a plurality of the recipes of the selected dish type and the selected cuisine type in the recipe database based on the culinary objectives, a bill of ingredients, and parameters for the recipes stored in the database. The recipes are ranked based on the recipe closeness scores and a ranked list of the recipes is provided.

Abstract: According to an aspect, food recipes are scored and ranked based on one or more culinary objectives. A general dish specification includes a selected dish type, a selected cuisine type, and one or more culinary objectives. Candidate ingredient types are identified based on recipes of the selected dish type and the selected cuisine type in a recipe database. A number or range of ingredients are computed for each candidate ingredient type based on a frequency of occurrence of ingredients of each candidate ingredient type. A recipe closeness score is computed for a plurality of the recipes of the selected dish type and the selected cuisine type in the recipe database based on the culinary objectives, a bill of ingredients, and parameters for the recipes stored in the database. The recipes are ranked based on the recipe closeness scores and a ranked list of the recipes is provided.

Abstract: A vehicle seat cover (1) for a vehicle seat (3), the vehicle seat cover (1) covering at least part of the vehicle seat (3) when installed on the vehicle seat (3), and including a catching arrangement (15) secured to the vehicle seat cover (1) and locatable along at least one side of the vehicle seat (3) when the vehicle seat cover (1) is installed on the vehicle seat (3), the catching arrangement (15) providing an accommodating volume (17) having an upper opening (19) at said side of the vehicle seat (3).

Abstract: Receiving, by a computer, data identifying one or more flavor compounds and their respective quantities in a food and an enhancement objective. Identifying one or more flavor compounds associated with a distinct flavor of the food. Creating a vector of physicochemical properties associated with the one or more flavor compounds associated with the distinct flavor of the food. Creating a vector of physicochemical properties associated with each of one or more additive flavor compounds. Identifying an additive flavor compound to enhance the food based on the angle between the physicochemical property vector associated with the distinct flavor of the food and the physicochemical property vectors for the one or more additive flavor compounds, and the enhancement objective.

Abstract: Software that uses personalized information pertaining to a user to determine how familiar (or “novel” or “surprising”) a new artifact will be to the user, by performing the following steps: (i) receiving the identity of a first user; (ii) receiving a first dataset pertaining to the first user; (iii) receiving the identity of a first artifact; and (iv) applying a probabilistic familiarity algorithm to the first dataset with respect to the first artifact to yield a probabilistic familiarity value for the first artifact with respect to the first user. The first dataset is received over a computer network, and the first dataset includes at least one piece of personalized information for the first user.

Abstract: A method for setting a performance target in an outcome driven business model. The method includes receiving historical data, comprising industry performance data, for the outcome driven business model and performance target settings, including a forecasting horizon and confidence level. The method includes calculating, for a plurality of forecasting methods and the forecasting horizon, a function associated with a probability of an industry benchmark performance meeting a threshold value. The method includes determining, based on the function for each of the plurality of forecasting methods, a best forecasting method of the plurality of forecasting methods at the forecasting horizon and the confidence level. The method includes calculating, based on the historical data and the forecasting horizon, using the best forecasting method, a forecast benchmark value.

Abstract: A method and apparatus to determine: (a) the likelihood and timing for a sales opportunity to become a sale based on analytical models that incorporate the history of sales stage evolution and other covariates; and (b) the expected number of sales from invisible opportunities prior to a target date. Additionally, the method and apparatus is configured to predict an expected amount of revenue and/or an amount of resources given a current sales history.

Abstract: Systems and methods are provided for forecasting event dates. In one method, one or more defined process events are identified. For one event, a duration distribution between two dates is estimated dynamically. The first date may be the start date of the event and the second date may be the end date of the last event in the process. The estimated duration distribution is used for generating one or more modeling parameters used for forecasting.