CLIAMS:We claim:
1. A method for predicting affinity to at least one product based on personality profile of at least one user, the method comprising:
generating at least one personality trait score for each of at least one personality trait for each of the at least one user, the at least one personality trait defined by a personality model;
generating at least one elasticity coefficient for each of the at least one personality trait, the elasticity coefficient indicative of variation in the affinity towards the at least one product with respect to the variation in the at least one personality trait;
arranging one or more scales based on magnitude of the one or more elasticity coefficients , each of the one or more scales extending between a first scale value and a second scale value;
marking, on each of the one or more scales, the personality trait score of the at least one user and corresponding threshold score for users of interest with respect to the at least one product for each of the at least one personality trait to determine difference between the personality trait score and the corresponding threshold score for each of the at least one personality trait;
providing one or more weights to the corresponding determined differences based on the magnitude of the elasticity coefficients; and
predicting the affinity based on summing the weighted differences between the personality trait score and the corresponding threshold score for each of the at least one personality trait.
2. The method of claim 1, wherein the affinity is inversely proportional to the sum of the weighted differences between the personality trait score and the corresponding threshold score for each of the at least one personality trait.
3. The method of claim 1, wherein the weights are directly proportional to the magnitude of the elasticity coefficients.
4. The method of claim 1, further comprising providing a recommendation regarding suitability of the at least one product for the at least one user, the recommendation based on the affinity, demography, and occasion for buying the at least one product .
5. The method of claim 1, wherein the personality model is big five personality model.
6. The method of claim 4, wherein the recommendation is based on correlation of the at least one personality trait of the at least one user with one or more life cycle stages of the at least one product.
7. The method of claim 1, wherein the one or more scales are arranged based on increasing/decreasing order of the magnitude of the one or more elasticity coefficients.
8. The method of claim 1, further comprising providing a feedback based on correlation between browsing pattern of the at least one user and time spent on looking at the at least one product.
9. A system for predicting affinity to at least one product based on personality profile of at least one user, the system comprising:
one or more hardware processors; and
a computer-readable medium storing instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
generating at least one personality trait score for each of at least one personality trait for each of the at least one user, the at least one personality trait defined by a personality model;
generating at least one elasticity coefficient for each of the at least one personality trait, the elasticity coefficient indicative of variation in the affinity towards the at least one product with respect to the variation in the at least one personality trait;
arranging one or more scales based on magnitude of the one or more elasticity coefficients , each of the one or more scales extending between a first scale value and a second scale value;
marking, on each of the one or more scales, the personality trait score of the at least one user and corresponding threshold score for users of interest with respect to the at least one product for each of the at least one personality trait to determine difference between the personality trait score and the corresponding threshold score for each of the at least one personality trait;
providing one or more weights to the corresponding determined differences based on the magnitude of the elasticity coefficients; and
predicting the affinity based on summing the weighted differences between the personality trait score and the corresponding threshold score for each of the at least one personality trait.
10. The system of claim 9, wherein the affinity is inversely proportional to the sum of the weighted differences between the personality trait score and the corresponding threshold score for each of the at least one personality trait.
11. The system of claim 9, wherein the weights are directly proportional to the magnitude of the elasticity coefficients.
12. The system of claim 9, further comprising providing a recommendation regarding suitability of the at least one product for the at least one user, the recommendation based on the affinity.
13. The system of claim 9, wherein the personality model is big five personality model.
14. The system of claim 12, wherein the recommendation is based on correlation of the at least one personality trait of the at least one user with one or more life cycle stages of the at least one product.
15. The system of claim 9, wherein the one or more scales are arranged based on increasing/decreasing order of magnitude of the one or more elasticity coefficients.
16. The system of claim 9, further comprising providing a feedback based on correlation between browsing pattern of the at least one user and time spent on looking at the at least one product.
17. A non-transitory computer-readable medium storing instructions for predicting affinity to at least one product based on personality profile of at least one user that, when executed by a processor, cause the processor to perform operations comprising:
generating at least one personality trait score for each of at least one personality trait for each of the at least one user, the at least one personality trait defined by a personality model;
generating at least one elasticity coefficient for each of the at least one personality trait, the elasticity coefficient indicative of variation in the affinity towards the at least one product with respect to the variation in the at least one personality trait;
arranging one or more scales based on magnitude of the one or more elasticity coefficients , each of the one or more scales extending between a first scale value and a second scale value;
marking, on each of the one or more scales, the personality trait score of the at least one user and corresponding threshold score for users of interest with respect to the at least one product for each of the at least one personality trait to determine difference between the personality trait score and the corresponding threshold score for each of the at least one personality trait;
providing one or more weights to the corresponding determined differences based on the magnitude of the elasticity coefficients; and

predicting the affinity based on summing the weighted differences between the personality trait score and the corresponding threshold score for each of the at least one personality trait.

Dated this 07th day of July, 2014
Shwetha A Chimalgi
of K & S Partners
Agent for the Applicants
,TagSPECI:FIELD OF THE INVENTION
The present disclosure relates generally to predicting affinity towards a product based on personality elasticity of product, and more particularly to predicting affinity towards the product by correlating personality elasticity of the product with big five personality trait model.