11. A computer-implemented method, comprising: receiving a recommendation set generated by a recommendation engine, said recommendation set comprising a computer representation of a plurality of items predicted to be of interest to a target user; and filtering the recommendation set to prevent at least some items that have a threshold degree of similarity to each other from being recommended to the target user in combination, said threshold set so as to prevent, for at least some fuzzy duplicate items pairs, both items of the pair from being recommended in combination, said filtering performed by execution of program code by one or more processors.
16. The method of claim 11 , wherein the recommendation set is received via a call to a web service.