CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
The DBLP Computer Science Bibliography: Evolution, Research Issues, Perspectives
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Name disambiguation in author citations using a K-way spectral clustering method
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Effective and scalable solutions for mixed and split citation problems in digital libraries
Proceedings of the 2nd international workshop on Information quality in information systems
Record matching in digital library metadata
Communications of the ACM - Alternate reality gaming
Proceedings of the 9th annual ACM international workshop on Web information and data management
A constraint-based probabilistic framework for name disambiguation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Extraction and mining of an academic social network
Proceedings of the 17th international conference on World Wide Web
Using web information for creating publication venue authority files
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
ArnetMiner: extraction and mining of academic social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Author Name Disambiguation for Citations Using Topic and Web Correlation
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
On co-authorship for author disambiguation
Information Processing and Management: an International Journal
Author name disambiguation in MEDLINE
ACM Transactions on Knowledge Discovery from Data (TKDD)
Using web information for author name disambiguation
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
PSNUS: web people name disambiguation by simple clustering with rich features
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Web personal name disambiguation based on reference entity tables mined from the web
Proceedings of the eleventh international workshop on Web information and data management
URI identity management for semantic web data integration and linkage
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
A Combination Approach to Web User Profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
Journal of the American Society for Information Science and Technology
Construction of a large-scale test set for author disambiguation
Information Processing and Management: an International Journal
Efficient name disambiguation in digital libraries
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Combining machine learning and human judgment in author disambiguation
Proceedings of the 20th ACM international conference on Information and knowledge management
Disambiguating authors in citations on the web and authorship correlations
Expert Systems with Applications: An International Journal
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Matching product titles using web-based enrichment
Proceedings of the 21st ACM international conference on Information and knowledge management
Entity resolution using search engine results
Proceedings of the 21st ACM international conference on Information and knowledge management
A semi-supervised approach for author disambiguation in KDD CUP 2013
Proceedings of the 2013 KDD Cup 2013 Workshop
Name disambiguation in scientific cooperation network by exploiting user feedback
Artificial Intelligence Review
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In scholarly digital libraries, author disambiguation is an important task that attributes a scholarly work with specific authors. This is critical when individuals share the same name. We present an approach to this task that analyzes the results of automatically-crafted web searches. A key observation is that pages from rare web sites are stronger source of evidence than pages from common web sites, which we model as Inverse Host Frequency (IHF). Our system is able to achieve an average accuracy of 0.836.