Location-based promotions using data derived from item sampling events
First Claim
1. A method of identifying a set of recommended items to a user, comprising:
- correlating a first item to one or more potential second items using a computing system and a data repository associated with the computing system to identify a set of candidate items predicted to be of interest to the user, the data repository containing at least one rating for the first item from the user, the user the at least one rating for the first item having been acquired during a group item sampling event during which the first item was sampled;
identifying a user physical location based on location data for the user provided by a user mobile computing device;
correlating the user physical location to one or more selected merchants in the vicinity of the user physical location with the computing system, wherein the one or more selected merchants are identified by the computing system to carry one or more of the candidate items;
in response to detecting the one or more merchants in the vicinity of the user physical location, processing the set of candidate items with the computing system to identify the set of recommended items based on a calculated rating for the user for the set of candidate items;
providing at least one electronic coupon to the user'"'"'s mobile computing device for selected ones of the set of recommended items; and
providing electronic location indicia to the user'"'"'s mobile computing device identifying a physical location of the one or more selected merchants carrying the selected ones of the set of recommended items.
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Accused Products
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.
52 Citations
27 Claims
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1. A method of identifying a set of recommended items to a user, comprising:
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correlating a first item to one or more potential second items using a computing system and a data repository associated with the computing system to identify a set of candidate items predicted to be of interest to the user, the data repository containing at least one rating for the first item from the user, the user the at least one rating for the first item having been acquired during a group item sampling event during which the first item was sampled; identifying a user physical location based on location data for the user provided by a user mobile computing device; correlating the user physical location to one or more selected merchants in the vicinity of the user physical location with the computing system, wherein the one or more selected merchants are identified by the computing system to carry one or more of the candidate items; in response to detecting the one or more merchants in the vicinity of the user physical location, processing the set of candidate items with the computing system to identify the set of recommended items based on a calculated rating for the user for the set of candidate items; providing at least one electronic coupon to the user'"'"'s mobile computing device for selected ones of the set of recommended items; and providing electronic location indicia to the user'"'"'s mobile computing device identifying a physical location of the one or more selected merchants carrying the selected ones of the set of recommended items. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method of identifying a set of recommended consumable items to a user, comprising:
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generating an invitation for a sampling event, the invitation including an access code required for participants, including the user, to attend said event during a first sampling event period; conducting said sampling event for said participants, during which sampling event ratings are collected from the user and said participants for a set of consumable items, including at least a first rating from the user for at least one first consumable item; correlating the first consumable item to one or more potential second items using a computing system and a data repository associated with the computing system to identify a set of candidate items predicted to be of interest to the user; identifying a user physical location based on location data for the user provided by a user mobile computing device; correlating the user physical location to one or more selected merchants in the vicinity of the user physical location with the computing system, wherein the one or more selected merchants are identified by the computing system to carry one or more of the candidate items; in response to detecting the one or more merchants in the vicinity of the user physical location, processing the set of candidate items with the computing system to identify the set of recommended items based on a calculated rating for the user for the set of candidate items; providing at least one electronic coupon to the user'"'"'s mobile computing device for selected ones of the set of recommended items; and providing electronic location indicia to the user'"'"'s mobile computing device identifying a physical location of the one or more selected merchants carrying the selected ones of the set of recommended items. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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27. A method of identifying a set of recommended items to a first user, comprising:
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correlating a first item to one or more potential second items using a computing system and a data repository associated with the computing system to identify a set of candidate items predicted to be of interest to the first user, the data repository containing at least one rating for the first item for the user; wherein the at least one rating for the first item for the first user is provided by a second user as a prediction rating for the first user during a group item sampling event during which the first item was sampled by said second user; further wherein said second user is identified as a social network friend of said first user; identifying a user physical location based on location data for the user provided by a user mobile computing device; correlating the user physical location to one or more selected merchants in the vicinity of the user physical location with the computing system, wherein the one or more selected merchants are identified by the computing system to carry one or more of the candidate items; in response to detecting the one or more merchants in the vicinity of the user physical location, processing the set of candidate items with the computing system to identify the set of recommended items based on a calculated rating for the user for the set of candidate items; providing at least one electronic coupon to the user'"'"'s mobile computing device for selected ones of the set of recommended items; and providing electronic location indicia to the user'"'"'s mobile computing device identifying a physical location of the one or more selected merchants carrying the selected ones of the set of recommended items.
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Specification