Systems, methods, and non-transitory computer-readable media can receive an indication that a user of a social networking system has interacted with a first account of the social networking system. A set of potential accounts is compiled based on account similarity criteria indicative of a similarity of each potential account to the first account. The set of potential accounts is ranked based on a machine learning model, and filtered based on filtering criteria. One or more similar account recommendations are presented to the user via a graphical user interface, the one or more similar account recommendations based on the ranking and the filtering.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method comprising: receiving, by a computing system, an indication that a user of a social networking system has interacted with a first account of the social networking system; compiling, by the computing system, a set of potential accounts based on account similarity criteria indicative of a similarity of each potential account to the first account; ranking, by the computing system, the set of potential accounts based on a machine learning model; filtering, by the computing system, the set of potential accounts based on filtering criteria; and presenting, by the computing system, one or more similar account recommendations to the user via a graphical user interface, the one or more similar account recommendations based on the ranking and the filtering. 2. The computer-implemented method of claim 1, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a co-follower score. 3. The computer-implemented method of claim 1, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a historical follow-through rate. 4. The computer-implemented method of claim 1, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a historical search co-visitation rate. 5. The computer-implemented method of claim 1, wherein each account similarity criterion of the account similarity criteria is associated with a subset of the set of potential accounts. 6. The computer-implemented method of claim 1, wherein the machine learning model produces a likelihood that the user will interact with a potential account based on user characteristics of the user. 7. The computer-implemented method of claim 1, wherein the filtering criteria comprise a criterion relating to a celebrity account designation. 8. The computer-implemented method of claim 1, wherein the filtering criteria comprise a criterion relating to filtering out accounts that the user has already interacted with. 9. The computer-implemented method of claim 1, wherein the filtering criteria comprise a criterion relating to filtering out accounts previously recommended to the user as a similar account. 10. The computer-implemented method of claim 1, further comprising training the machine learning model based on historical social networking interaction information. 11. A system comprising: at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the system to perform a method comprising: receiving an indication that a user of a social networking system has interacted with a first account of the social networking system; compiling a set of potential accounts based on account similarity criteria indicative of a similarity of each potential account to the first account; ranking the set of potential accounts based on a machine learning model; filtering the set of potential accounts based on filtering criteria; and presenting one or more similar account recommendations to the user via a graphical user interface, the one or more similar account recommendations based on the ranking and the filtering. 12. The system of claim 11, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a co-follower score. 13. The system of claim 11, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a historical follow-through rate. 14. The system of claim 11, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a historical search co-visitation rate. 15. The system of claim 11, wherein each account similarity criterion of the account similarity criteria is associated with a subset of the set of potential accounts. 16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising: receiving an indication that a user of a social networking system has interacted with a first account of the social networking system; compiling a set of potential accounts based on account similarity criteria indicative of a similarity of each potential account to the first account; ranking the set of potential accounts based on a machine learning model; filtering the set of potential accounts based on filtering criteria; and presenting one or more similar account recommendations to the user via a graphical user interface, the one or more similar account recommendations based on the ranking and the filtering. 17. The non-transitory computer-readable storage medium of claim 16, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a co-follower score. 18. The non-transitory computer-readable storage medium of claim 16, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a historical follow-through rate. 19. The non-transitory computer-readable storage medium of claim 16, wherein the compiling a set of potential accounts comprises applying an account similarity criteria relating to determination of a historical search co-visitation rate. 20. The non-transitory computer-readable storage medium of claim 16, wherein each account similarity criterion of the account similarity criteria is associated with a subset of the set of potential accounts.