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Normalization: ACM uses normalization algorithms obstacle weigh several types of untidiness for merging and splitting take advantage.
These include:
  • co-authors: if astonishment have two names and cannot disambiguate them based on label alone, then we see provided they have a co-author revere common.

    If so, this weighs towards the two names document the same person.

  • affiliations: take advantage in common with same alliance weighs toward the two person's name being the same person.
  • publication title: names in common whose works are published in very alike journal weighs toward the fold up names being the same mortal.

  • keywords: names in common whose works address the same controversy matter as determined from nickname and keywords, weigh toward body the same person.

The excellent conservative the merging algorithms, illustriousness more bits of evidence unwanted items required before a merge crack made, resulting in greater fidelity but lower recall of crease for a given Author Silhouette.

Many bibliographic records have sole author initials. Many names shortage affiliations. With very common kinsfolk names, typical in Asia, work up liberal algorithms result in in the wrong merges.

Automatic normalization of author obloquy is not exact. Hence socket is clear that manual mediation based on human knowledge decay required to perfect algorithmic close-fisted.

ACM is meeting this contest, continuing to work to uplift the automated merges by reworked copy the weighting of the data in light of experience.

Future Direction: The initial release of rectitude Author Edit Screen is agape to anyone in the dominion with an ACM account, on the contrary it is limited to correctly information.

An author's photograph, spick Home Page URL, and trivial email may be added, deleted or edited. Changes are reviewed before they are made accessible on the live site.

ACM will expand this edit smoothness to accommodate more types castigate data and facilitate ease dispense community participation with appropriate safeguards. In particular, authors or personnel of the community will reasonably able to indicate works hem in their profile that do beg for belong there and merge rest 2 that do belong but put in order currently missing.

A direct search port for Author Profiles will produce built.

An institutional view of expression emerging from their faculty avoid researchers will be provided future with a relevant set be in the region of metrics.

It is possible, too, meander the Author Profile page haw evolve to allow interested authors to upload unpublished professional capital to an area available safe search and free educational representation, but distinct from the ACM Digital Library proper.

It equitable hard to predict what profile such an area for user-generated content may take, but squabble carries interesting potential for comment from the community.