Back to results
US 7,890,363 B2Granted
System and method of identifying trendsetters
AssigneeHayley Logistics LLC
InventorJohn N. Gross
Life of this patent
Estimating the term…
Abstract
A system and method for determining and identifying trendsetters within a member population, such as an online community. The trendsetters can then be used for a number of useful purposes, such as predicting future product/service trends, evaluating advertising techniques, identifying collectible items in an electronic auction, influencing search engines and recommender systems, etc. In a similar fashion, the counterparts to trendsetters, namely, trend rejecters and trend laggards can also be identified and compiled.
Claims36
A method, comprising:
- identifying, on a computing device, adoptions of a first item made by members of an online community;
- ranking, on the computing device, by time of adoption the adoptions of the first item by the members of the online community;
- repeating the identifying and the ranking for a plurality of other items;
- determining, on the computing device, a score by tallying the time of adoption of the first item adopted by the members of the online community with a number and the time of adoption of other items adopted by the members of the online community;
- generating, on the computing device, an ordered list of the members of the online community based on the score for the first item and the plurality of other items;
- and
- identifying, on the computing device, a first N members on the ordered list as trendsetter members.
4 more elements
A method, comprising:
- identifying, on a computing device, adoptions of a first item made by members of an online community;
- ranking, on the computing device, by time of adoption the adoptions of the first item by the members of the online community;
- repeating the identifying and the ranking for a plurality of other items;
- determining, on the computing device, a score by tallying the time of adoption of the first item adopted by the members of the online community with a number and the time of adoption of other items adopted by the members of the online community;
- and
- generating, on the computing device, an ordered list of trend predictor members based on the results of the determining, the trend predictor members being those members who are among a first N members of the ordered list based on the score of a plurality of items including the first item and at least one of the plurality of other items.
3 more elements
A method, comprising:
- identifying, on a computing device, a behavior and/or action which is relatively prevalent within a subscriber population;
- identifying, on the computing device, early adopters of the behavior and/or action within the subscriber population by monitoring their activities during an electronic data collection session and ranking the activities by time;
- and
- repeating the identifying a behavior or action and the identifying early adopters to determine a score by tallying the time of adoption of the first behavior or action adopted by the subscriber population with a number and the time of adoption of other behaviors or actions adopted by the subscriber population to compile an ordered list of overall early adopters within the subscriber population for a plurality of behaviors or actions based at least in part on the score of each early adopter.
1 more element
A computer system, comprising:
- a software module which is configured for:
- identifying, on the computer system, adoptions of a first item made by members of an online community;
- ranking, on the computer system, by time of adoption the adoptions of the first item by the members of the online community;
- repeating the identifying and the ranking for a plurality of other items;
- determining, on the computer system, a score by tallying the time of adoption of the first item adopted by the members of the online community with a number and the time of adoption of other items adopted by the members of the online community;
- generating, on the computer system, an ordered list of the members of the online community based on the results of the score for the first item and the plurality of other items;
- and
- identifying, on the computer system, a first N members on the ordered list as trendsetter members.
5 more elements
Dependencies are inferred from the claim text.