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Name Disambiguation in Anonymized Graphs using Network Embedding
2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17
In real-world, our DNA is unique but many people share names. is phenomenon o en causes erroneous aggregation of documents of multiple persons who are namesake of one another. Such mistakes deteriorate the performance of document retrieval, web search, and more seriously, cause improper a ribution of credit or blame in digital forensic. To resolve this issue, the name disambiguation task is designed which aims to partition the documents associated with a name reference such that each partition
doi:10.1145/3132847.3132873
dblp:conf/cikm/ZhangH17
fatcat:qzft4eecobhrjhjvh7sijcfqiu