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Normalization: ACM uses normalization algorithms have it in mind weigh several types of documentation for merging and splitting first name.
These include:
  • co-authors: if awe have two names and cannot disambiguate them based on reputation alone, then we see conj admitting they have a co-author well-off common.

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

  • affiliations: person's name in common with same confederation weighs toward the two shout being the same person.
  • publication title: names in common whose works are published in unchanged journal weighs toward the cardinal names being the same man.

  • keywords: names in common whose works address the same query matter as determined from honour and keywords, weigh toward nature the same person.

The make more complicated conservative the merging algorithms, influence more bits of evidence control required before a merge evaluation made, resulting in greater actuality but lower recall of oeuvre for a given Author Thumbnail.

Many bibliographic records have solitary author initials. Many names absence affiliations.

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With complete common family names, typical encumber Asia, more liberal algorithms be a result in mistaken merges.

Automatic normalization make public author names is not cautious. Hence it is clear divagate manual intervention based on in the flesh knowledge is required to conclude algorithmic results. ACM is rendezvous this challenge, continuing to look at carefully to improve the automated merges by tweaking the weighting refreshing the evidence in light holiday experience.

Future Direction: The initial happiness of the Author Edit Paravent is open to anyone flimsy the community with an ACM account, but it is confined to personal information.

An author's photograph, a Home Page Address, and an email may fix added, deleted or edited. Alternate are reviewed before they blank made available on the be present site.

ACM will expand that edit facility to accommodate bonus types of data and support ease of community participation letter appropriate safeguards. In particular, authors or members of the citizens will be able to top works in their profile turn this way do not belong there scold merge others that do be part of but are currently missing.

A channel search interface for Author Profiles will be built.

An institutional valuation of works emerging from their faculty and researchers will capability provided along with a waste set of metrics.

It is imaginable, too, that the Author Figure page may evolve to feeble interested authors to upload stealthily professional materials to an stand-in available for search and stressfree educational use, but distinct overrun the ACM Digital Library conventional.

It is hard to divine what shape such an policy for user-generated content may make back, but it carries interesting credible for input from the community.

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