Intelligent email: reply and attachment prediction Export

@inproceedings{citeulike:3709716, abstract = {We present two prediction problems under the rubric of Intelligent Email that are designed to support enhanced email interfaces that relieve the stress of email overload. Reply prediction alerts users when an email requires a response and facilitates email response management. Attachment prediction alerts users when they are about to send an email missing an attachment or triggers a document recommendation system, which can catch missing attachment emails before they are sent. Both problems use the same underlying email classification system and task specific features. Each task is evaluated for both single-user and cross-user settings.}, address = {New York, NY, USA}, author = {Dredze, Mark and Brooks, Tova and Carroll, Josh and Magarick, Joshua and Blitzer, John and Pereira, Fernando}, booktitle = {IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces}, citeulike-article-id = {3709716}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1378820}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1378773.1378820}, doi = {10.1145/1378773.1378820}, isbn = {978-1-59593-987-6}, keywords = {attachment, classification, email, predication}, location = {Gran Canaria, Spain}, pages = {321--324}, posted-at = {2009-10-28 18:04:38}, priority = {2}, publisher = {ACM}, title = {Intelligent email: reply and attachment prediction}, url = {http://dx.doi.org/10.1145/1378773.1378820}, year = {2008} }

TY - CONF ID - citeulike:3709716 L3 - citeulike-article-id:3709716 N2 - We present two prediction problems under the rubric of Intelligent Email that are designed to support enhanced email interfaces that relieve the stress of email overload. Reply prediction alerts users when an email requires a response and facilitates email response management. Attachment prediction alerts users when they are about to send an email missing an attachment or triggers a document recommendation system, which can catch missing attachment emails before they are sent. Both problems use the same underlying email classification system and task specific features. Each task is evaluated for both single-user and cross-user settings. CY - Gran Canaria, Spain SN - 978-1-59593-987-6 AD - New York, NY, USA EP - 324 TI - Intelligent email: reply and attachment prediction PB - ACM T2 - IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces SP - 321 KW - attachment KW - classification KW - email KW - predication AU - Dredze, Mark AU - Brooks, Tova AU - Carroll, Josh AU - Magarick, Joshua AU - Blitzer, John AU - Pereira, Fernando PY - 2008/// UR - http://dx.doi.org/10.1145/1378773.1378820 ER -