Abstract: A vehicle is detected at a drive thru terminal and an automated voice-based dialogue is established with a user in the vehicle and the terminal. An order is placed for a transaction using natural-language speech. The automated voice-based dialogue identifies commands, nouns associated with menu items, adjectives associated with modifying the menu items, prepositions associated with modifying the menu items, and exclamations associated with confirming the order and associated menu items. The automated speech is identified and processed based on a specific lexicon associated with a specific type of restaurant. The speech is translated into actions processed through an ordering system/interface as text-based instructions. Feedback for the order and guidance during the order are provided to the user through: speech played over a speaker associated with the terminal, text displayed on a display, and/or images associated with the ordered items.

Abstract: A vehicle is detected at a drive thru terminal and an automated voice-based dialogue is established with a user in the vehicle and the terminal. An order is placed for a transaction using natural-language speech. The automated voice-based dialogue identifies commands, nouns associated with menu items, adjectives associated with modifying the menu items, prepositions associated with modifying the menu items, and exclamations associated with confirming the order and associated menu items. The automated speech is identified and processed based on a specific lexicon associated with a specific type of restaurant. The speech is translated into actions processed through an ordering system/interface as text-based instructions. Feedback for the order and guidance during the order are provided to the user through: speech played over a speaker associated with the terminal, text displayed on a display, and/or images associated with the ordered items.

Abstract: A set of values and a condition are provided. The values are sorted and placed in zones based on the condition and first rules. The values are grouped into combinations within select ones of the zones based on second rules while other zones are excluded. Sizes of the combinations are modified and the values are regrouped into new combinations and re-evaluated in view of the second rules. A final combination of the values is identified using third rules. The final combination representing an optimal grouping of the values based on the condition.

Abstract: A set of values and a condition are provided. The values are sorted and placed in zones based on the condition and first rules. The values are grouped into combinations within select ones of the zones based on second rules while other zones are excluded. Sizes of the combinations are modified and the values are regrouped into new combinations and re-evaluated in view of the second rules. A final combination of the values is identified using third rules. The final combination representing an optimal grouping of the values based on the condition.

Abstract: A vehicle is detected at a drive thru terminal and an automated voice-based dialogue is established with a user in the vehicle and the terminal. An order is placed for a transaction using natural-language speech. The automated voice-based dialogue identifies commands, nouns associated with menu items, adjectives associated with modifying the menu items, prepositions associated with modifying the menu items, and exclamations associated with confirming the order and associated menu items. The automated speech is identified and processed based on a specific lexicon associated with a specific type of restaurant. The speech is translated into actions processed through an ordering system/interface as text-based instructions. Feedback for the order and guidance during the order are provided to the user through: speech played over a speaker associated with the terminal, text displayed on a display, and/or images associated with the ordered items.

Abstract: A set of values and a condition are provided. The values are sorted and placed in zones based on the condition and first rules. The values are grouped into combinations within select ones of the zones based on second rules while other zones are excluded. Sizes of the combinations are modified and the values are regrouped into new combinations and re-evaluated in view of the second rules. A final combination of the values is identified using third rules. The final combination representing an optimal grouping of the values based on the condition.