Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2009/paper/134> ?p ?o. }
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- 134 type InProceedings.
- 134 label "Rethinking Email Message and People Search".
- 134 sameAs 134.
- 134 abstract "We show how a number of novel email search features can be implemented without any kind of natural language processing (NLP) or advanced data mining. Our approach inspects the email headers of all messages a user has ever sent or received and it creates simple per-contact summaries, including simple information about the message exchange history, the domain of the sender or even the sender's gender. With these summaries advanced questions/tasks such as "Who do I still need to reply to?" or "Find ‘fun' messages sent by friends." become possible. As a proof of concept, we implemented a Mozilla-Thunderbird extension, adding powerful people search to the popular email client.".
- 134 hasAuthorList authorList.
- 134 isPartOf proceedings.
- 134 keyword "Poster Session".
- 134 title "Rethinking Email Message and People Search".