Aliases is a very useful feature, but currently the data is polluted leading to many unexpected results. For example, for artist “D Sigual” there were records like these:
DSigual Vol. 3
DSigual Vol. 4
DSigual Vol. 7
Removing these aliases one by one is time consuming - even removing one wrong alias is a multi-click process. It would be great, if:
(1) When a new alias is being added, it is checked against a list of suspicious words like “vol”, “volume”, “feat”, etc. It may be helpful for the community to contribute to this list, or to get this list from scanning the current dataset.
(2) Run a script to identify all existing aliases with suspicious words, and - after visual inspection - remove all of them at once.
For example, a search for “vol” under “Artists” returns over 3,700 results, of which only 10 are legitimate. That’s a lot of clicking to clean them up manually.