Integrated Gourmet Item Data Collection, Recommender and Vending System and Method
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Abstract
Items—including gourmet products—are evaluated and rated by participants in a controlled event, which can be coordinated by software locally or at a dedicated website. Event data, including item scores and participant scores can be shared with vendors, merchants and other commercial entities associated with the products. Promotional incentives from such entities for the products (and related products) can then be directly targeted and provided to participants and other members of the public. The participant'"'"'s activities can also be collected and disseminated to affiliates/friends of the participants through social networking sites, personalized web pages, etc.
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Citations
19 Claims
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1-16. -16. (canceled)
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17. A recommender computing system adapted to provide recommendations on a group of consumable items comprising:
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(a) a first routine of the recommender computing system being adapted to collect at least a set of ratings for a set of consumable items from a group of participants using one or more electronic data collection devices during an item sampling event; (b) a second routine of the recommender computing system being adapted to calculate correlations based on said set of ratings between at least one of
1) said group of participants and other persons rating said set of consumable items or related items; and
/or or
2) said set of items including at least item scores and participant scores;(c) a third routine of the recommender computing system being adapted to present recommendations on consumable items to at least some of said group of participants based on said correlations.
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18. A method of conducting a contest for sampling items using a computing system comprising:
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(a) providing a set of one or items to be rated during an item sampling event in which the items are sampled by a group of participants; (b) automatically collecting at set of reference ratings for said set of items from a group of one or more reference raters using said computing system; (c) automatically collecting at least a set of participant ratings for said set of items from said group of sampling participants during said item sampling event using said computing system; and (d) calculating participant scores for said item sampling event using said computing system; wherein a winner of the contest is identified by said participant scores that are based on determining a correlation between each sampling participant rating provided for an item, and a corresponding reference rating provided by said one or more reference raters.
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19-20. -20. (canceled)
Specification