The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.publication title: names in common whose works are published in same journal weighs toward the two names being the same person.affiliations: names in common with same affiliation weighs toward the two names being the same person.If so, this weighs towards the two names being the same person. co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common.Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.The Author Profile Pages reveal the first result of these efforts.
For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics.
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Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics.
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