Method and system for managing item distributions
First Claim
1. A computer-implemented method of identifying an influencer for a particular item from a pool of people based on past interactions with one or more items, comprising:
- calculating a similarity score for each of a plurality of items and a particular item based on a comparison of metrics of the particular item and metrics of each of the plurality of items;
determining an affinity score for each person in the pool of people for each of the plurality of items, wherein the affinity score is a measure of a user'"'"'s prescience that is calculated based on a product of (1) an earliness of interaction metric based on an earliness of interaction of each person in the pool with each of the plurality of items relative to a total number of interactions with that item and (2) an interactions metric based on a number of total interactions associated with each of the plurality of items relative to a number of interactions with the plurality of items;
for each person in the pool of people, calculating a similar item affinity score for the particular item based on the similarity score for each item and the affinity score for that item;
identifying the influencer based on the similar item affinity scores for each person in the pool of people, wherein a permission is granted relative to the influencer based on said identifying.
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Abstract
Systems and methods are provided for identifying an influencer from a pool of people based on past interactions with one or more items. A similarity score is calculated for each of a plurality of items. An affinity score is determined for each person in the pool of people for each of the plurality of items. A similar item affinity score is calculated for each person based on the similarity score for each item and the affinity score for that item. The influencer is identified based on the similar item affinity scores for each person in the pool of people. The influencer is granted a permission to perform a particular action related to the particular item based on being identified as the influencer.
68 Citations
22 Claims
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1. A computer-implemented method of identifying an influencer for a particular item from a pool of people based on past interactions with one or more items, comprising:
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calculating a similarity score for each of a plurality of items and a particular item based on a comparison of metrics of the particular item and metrics of each of the plurality of items; determining an affinity score for each person in the pool of people for each of the plurality of items, wherein the affinity score is a measure of a user'"'"'s prescience that is calculated based on a product of (1) an earliness of interaction metric based on an earliness of interaction of each person in the pool with each of the plurality of items relative to a total number of interactions with that item and (2) an interactions metric based on a number of total interactions associated with each of the plurality of items relative to a number of interactions with the plurality of items; for each person in the pool of people, calculating a similar item affinity score for the particular item based on the similarity score for each item and the affinity score for that item; identifying the influencer based on the similar item affinity scores for each person in the pool of people, wherein a permission is granted relative to the influencer based on said identifying. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 20)
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14. A computer-implemented system for identifying an influencer for a particular item from a pool of people based on past interactions with one or more items, comprising:
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one or more data processors; a computer-readable medium encoded with instructions for commanding the one or more data processors to execute steps of a method that include; calculating a similarity score for each of a plurality of items and a particular item based on a comparison of metrics of the particular item and metrics of each of the plurality of items; determining an affinity score for each person in the pool of people for each of the plurality of items, wherein the affinity score is a measure of a user'"'"'s prescience that is calculated based on a product of (1) an earliness of interaction metric based on an earliness of interaction of each person in the pool with each of the plurality of items relative to a total number of interactions with that item and (2) an interactions metric based on a number of total interactions associated with each of the plurality of items relative to a number of interactions with the plurality of items; for each person in the pool of people, calculating a similar item affinity score for the particular item based on the similarity score for each item and the affinity score for that item; identifying the influencer based on the similar item affinity scores for each person in the pool of people, wherein a permission is granted relative to the influencer based on said identifying. - View Dependent Claims (15, 16, 17, 18)
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19. A non-transitory computer-readable medium encoded with instructions for commanding one or more data processors to execute steps of a method of identifying an influencer for a particular item from a pool of people based on past interactions with one or more items, the steps comprising:
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calculating a similarity score for each of a plurality of items and a particular item based on a comparison of metrics of the particular item and metrics of each of the plurality of items; determining an affinity score for each person in the pool of people for each of the plurality of items, wherein the affinity score is a measure of a user'"'"'s prescience that is calculated based on a product of (1) an earliness of interaction metric based on an earliness of interaction of each person in the pool with each of the plurality of items relative to a total number of interactions with that item and (2) an interactions metric based on a number of total interactions associated with each of the plurality of items relative to a number of interactions with the plurality of items; for each person in the pool of people, calculating a similar item affinity score for the particular item based on the similarity score for each item and the affinity score for that item; identifying the influencer based on the similar item affinity scores for each person in the pool of people, wherein a permission is granted relative to the influencer based on said identifying.
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21. A computer-implemented method of identifying an influencer for a particular item based on past interactions with one or more items, comprising:
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determining a measure of a user'"'"'s prescience that is calculated based on a product of (1) an earliness of interaction metric based on an earliness of interaction of a person with each of the plurality of items relative to a total number of interactions with that item and (2) an interactions metric based on a number of total interactions associated with each of the plurality of items relative to a number of interactions with the plurality of items; identifying the influencer based on the measure, wherein a permission is granted relative to the influencer based on said identifying.
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22. A computer-implemented method of identifying an influencer for a particular item based on past interactions with one or more items, comprising:
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calculating a similarity score for each of a plurality of items and a particular item based on a comparison of metrics of the particular item and metrics of each of the plurality of items; determining an affinity score for a person for each of the plurality of items, wherein the affinity score is a measure of a user'"'"'s prescience that is calculated based on a product of (1) an earliness of interaction metric based on an earliness of interaction of the person in the pool with each of the plurality of items relative to a total number of interactions with that item and (2) an interactions metric based on a number of total interactions associated with each of the plurality of items relative to a number of interactions with the plurality of items; calculating a similar item affinity score for the particular item based on the similarity score for each item and the affinity score for that item; identifying the influencer based on the similar item affinity score, wherein a permission is granted relative to the influencer based on said identifying.
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Specification