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 network to perform a dynamic generation of correlation scores between arbitrary objects, said network comprising:
a plurality of content servers;
a client computer to access and establish relationships with one or more of the content servers; and
a management server to receive relationship information from the servers and to perform collaborative filtering on the relationship information to generate recommendations for the client, the management server including:
a communications module to communicate with the plurality of content servers and the client computer; and
a normalization module to normalize messages received from the content servers and the client computers,
wherein the management server performs collaborative filtering by:
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 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
dynamically generating a list of correlated items based upon at least one score.
2. The network of claim 1 , wherein the normalization module analyzes predicates within the received messages and verifies that the labels associated within the predicates are in expected formats.
3. The network of claim 2 , wherein the normalization module modifies the labels by adding or removing details if the labels are not in an expected format.
4. The network of claim 3 , wherein the management server further comprises:
a canonicalization module to canicalize the normalized messages by associating labels and predicates with unique fixed-width integer values; and
a storage module to store a table of canonicalized relationships.
5. The network of claim 4 , wherein the canonicalization module receives and extracts the labels and predicates from the normalized messages and looks up a corresponding integer value in the table.
6. The network of claim 5 , wherein the management server further comprises a recommendation generation module to generate recommendations for the client computer based on the relationships stored in the relationship storage module.
7. A management server to perform the dynamic generation of correlation scores between arbitrary objects, said management server comprising:
a storage module to store a table of relationship information between one or more content servers and a client computer; and
a recommendation generation module to perform collaborative filtering on the stored relationship information and to generate recommendations for a client computer, wherein collaborative filtering is performed by 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 pivot set of objects, generating a candidate set by determining objects that have interacted with each of the pivot set of objects and computing a score for each member of the candidate set and dynamically generating a list of correlated items based upon at least one score.
8. The management server of claim 7 , wherein the management server further comprises: a communications module to communicates with the plurality of content servers and the client computer; and a normalization module to normalize messages received from the content servers and the client computers.
9. The management server of claim 8 , wherein the normalization module analyzes predicates within the received messages and verifies that the labels associated within the predicates are in expected formats.
10. The management server of claim 9 , wherein the normalization module modifies the labels by adding or removing details if the labels are not in an expected format.
11. The management server of claim 10 , wherein the management server further comprises: a canonicalization module to canicalize the normalized messages by associating labels and predicates with unique fixed-width integer values.
12. The management server of claim 11 , wherein the canonicalization module receives and extracts the labels and predicates from the normalized messages and looks up a corresponding integer value in the table.