System and method for the dynamic generation of correlation scores between arbitrary objects
View Patent ↗Systems and methods are described for performing the dynamic generation of correlation scores between arbitrary objects. When a behavioral event is recorded, that is to say when an end user interacts with multiple objects, relationships between objects are created. These relationships are maintained as a list. When a request for correlated items is requested based upon a seed object, a list of correlated items is dynamically created through the generation of a pivot set and a scoring algorithm to compute the list of correlated items.
1. A method of generating a correlation score between arbitrary objects, comprising:
generating a seed object;
retrieving a list of objects corresponding to the seed object from a storage table;
restricting the list of objects based upon a parameter list to generate a pivot set of objects;
generating a candidate set by determining objects that have interacted with each of the pivot set of objects;
computing a score for each member of the candidate set; and
generating a list of correlated items based upon at least one score.
2. The method of claim 1 , further comprising:
receiving an external request for recommended content prior to generating the seed object; and
retrieving a list of objects related to the content.
3. The method of claim 1 , wherein the seed object is generated via user interaction with the object.
4. The method of claim 1 , wherein generating the list of correlated items comprises sorting the score for each member using a pre-established criteria.
5. The method of claim 1 , wherein the score is calculated using a vector cosine algorithm.
6. The method of claim 1 , wherein the score is calculated using a Pearson's R algorithm.
7. The article of manufacture of claim 1 , wherein the data, when accessed, results in a machine performing further operations comprising: receiving an external request for recommended content prior to generating the seed object; and retrieving a list of objects related to the content.
8. The article of manufacture of claim 1 , wherein the seed object is generated via user interaction with the object.
9. The article of manufacture of claim 1 , wherein generating the list of correlated items comprises sorting the score for each member using a pre-established criteria.
10. The article of manufacture of claim 1 , wherein the score is calculated using a vector cosine algorithm.
11. The article of manufacture of claim 1 , wherein the score is calculated using a Pearson's R algorithm.