Method and system for measuring individual prescience within user associations
First Claim
1. A computer-implemented method of identifying an influencer from a pool of people based on past interactions with one or more items, comprising:
- determining a popularity metric for a particular item;
determining an earliness of interaction metric for a person in the pool based on an interaction with the particular item by the person;
calculating a prescience metric for the person based on the popularity metric and the earliness of interaction metric for the person, wherein the prescience metric is calculated according to;
UPrescience=(PAfter/PTotal)*(SItem/SPool)where UPrescience is the prescience metric for the person, PAfter is a number of interactions with the particular item after the interaction with the particular item by the person, PTotal is a total number of interactions with the particular item, SItem is a number of sales of the item, and SPool is a number of sales of items in a pool of items; and
identifying the influencer based on the prescience metric for the person and prescience metrics calculated for other people in the pool.
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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 popularity metric is determined for a particular item, and an earliness of interaction metric is determined for a person in the pool based on an interaction with the particular item by the person. A prescience metric is calculated for the person based on the popularity metric and the earliness of interaction metric for the person, and the influencer is identified based on the prescience metric for the person and prescience metrics calculated for other people in the pool.
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Citations
14 Claims
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1. A computer-implemented method of identifying an influencer from a pool of people based on past interactions with one or more items, comprising:
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determining a popularity metric for a particular item; determining an earliness of interaction metric for a person in the pool based on an interaction with the particular item by the person; calculating a prescience metric for the person based on the popularity metric and the earliness of interaction metric for the person, wherein the prescience metric is calculated according to;
UPrescience=(PAfter/PTotal)*(SItem/SPool)where UPrescience is the prescience metric for the person, PAfter is a number of interactions with the particular item after the interaction with the particular item by the person, PTotal is a total number of interactions with the particular item, SItem is a number of sales of the item, and SPool is a number of sales of items in a pool of items; and identifying the influencer based on the prescience metric for the person and prescience metrics calculated for other people in the pool. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer-implemented system for identifying an influencer 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 non-transitory computer-readable medium encoded with instructions for commanding the data processor to execute steps that include; determining a popularity metric for a particular item; determining an earliness of interaction metric for a person in the pool based on an interaction with the particular item by the person; calculating a prescience metric for the person based on the popularity metric and the earliness of interaction metric for the person, wherein the prescience metric is calculated according to;
UPrescience=(PAfter/PTotal)*(SItem/SPool)where UPrescience is the prescience metric for the person, PAfter is a number of interactions with the particular item after the interaction with the particular item by the person, PTotal is a total number of interactions with the particular item, SItem is a number of sales of the item, and SPool is a number of sales of items in a pool of items; and identifying the influencer based on the prescience metric for the person and prescience metrics calculated for other people in the pool.
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14. A non-transitory computer-readable medium encoded with instructions for commanding one or more data processors to execute a method of identifying an influencer from a pool of people based on past interactions with one or more items, the method comprising:
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determining a popularity metric for a particular item; determining an earliness of interaction metric for a person in the pool based on an interaction with the particular item by the person; calculating a prescience metric for the person based on the popularity metric and the earliness of interaction metric for the person, wherein the prescience metric is calculated according to;
UPrescience=(PAfter/PTotal)*(SItem/SPool)wherein UPrescience is the prescience metric for the person, PAfter is a number of interactions with the particular item after the interaction with the particular item by the person, PTotal is a total number of interactions with the particular item, SItem is a number of sales of the item, and SPool is a number of sales of items in a pool of items; and identifying the influencer based on the prescience metric for the person and prescience metrics calculated for other people in the pool.
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Specification