1. A computer-implemented method of generating a list, comprising: receiving a candidate item comprising at least one of an artist name or a title of the candidate item; for each reference item of a plurality of reference items, comparing at least a portion of respective characters of the at least one of the artist name or the title of the candidate item to at least a portion of respective reference-item characters of at least one of a reference-item artist name or a reference-item title of the reference item to facilitate determining a respective matching score, relating to each of the at least one of the artist name or the title of the candidate item, for each reference item based at least in part on a respective number of matches between the at least a portion of the respective characters and the at least a portion of the respective reference-item characters for each reference item; identifying the candidate item based at least in part on a best reference item, the best reference item is a reference item of the plurality of reference items having a matching score that at least meets a predetermined threshold amount and has a highest matching score as compared to other reference items of the plurality of reference items; associating a plurality of metadata relating to the best reference item with the candidate item, wherein the associated plurality of metadata is a plurality of candidate item metadata relating to the candidate item, to facilitate comparing similarity between the candidate item and a seed item; retrieving a plurality of seed item metadata relating to the seed item identified by a received seed item identifier; comparing the plurality of seed item metadata to the plurality of candidate item metadata; computing a similarity score between the seed item and the candidate item based at least in part on a similarity of the plurality of seed item metadata to the plurality of candidate item metadata, wherein the similarity score is computed using a list-generation computer system; determining whether to add the candidate item to the list based at least in part on the similarity score; and generating the list, which is provided to a user.
1. A computer-implemented method of generating a list, comprising: receiving a candidate item comprising at least one of an artist name or a title of the candidate item; for each reference item of a plurality of reference items, comparing at least a portion of respective characters of the at least one of the artist name or the title of the candidate item to at least a portion of respective reference-item characters of at least one of a reference-item artist name or a reference-item title of the reference item to facilitate determining a respective matching score, relating to each of the at least one of the artist name or the title of the candidate item, for each reference item based at least in part on a respective number of matches between the at least a portion of the respective characters and the at least a portion of the respective reference-item characters for each reference item; identifying the candidate item based at least in part on a best reference item, the best reference item is a reference item of the plurality of reference items having a matching score that at least meets a predetermined threshold amount and has a highest matching score as compared to other reference items of the plurality of reference items; associating a plurality of metadata relating to the best reference item with the candidate item, wherein the associated plurality of metadata is a plurality of candidate item metadata relating to the candidate item, to facilitate comparing similarity between the candidate item and a seed item; retrieving a plurality of seed item metadata relating to the seed item identified by a received seed item identifier; comparing the plurality of seed item metadata to the plurality of candidate item metadata; computing a similarity score between the seed item and the candidate item based at least in part on a similarity of the plurality of seed item metadata to the plurality of candidate item metadata, wherein the similarity score is computed using a list-generation computer system; determining whether to add the candidate item to the list based at least in part on the similarity score; and generating the list, which is provided to a user. 9. The computer-implemented method of claim 1 , wherein the seed item identifier is at least one of a GUID or a database table index.