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Contextual Search and Name Disambiguation in Email Using Graphs
Overview Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are structurally related to other documents, as well as other non-textual objects: for instance, email messages are connected to other messages via thread information embedded in the header. This paper considers extended similarity metrics for documents and other objects embedded in graphs, implemented via a lazy graph walk. It provides a detailed instantiation of this framework for email data, where content, social networks and a timeline are integrated in a structural graph. The suggested framework is evaluated for two email-related problems: disambiguating names in email documents, and threading.
| Publisher | Association for Computing Machinery | File Format | |
|---|---|---|---|
| Date Published | August 2006 | Downloads | 2 |
| Format | White Papers | ||
| Topics | |||
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