Agents that reduce work and information overload
Communications of the ACM
Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Query-answering algorithms for information agents
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Modeling personalized email prioritization: classification-based and regression-based approaches
Proceedings of the 20th ACM international conference on Information and knowledge management
| Hi-index | 0.00 |
A method for assigning a priority to each message received is proposed that automatically extracts the message's features from the message and forms the personal profile of each user. It forms the profile by monitoring the messages sent and received by the user. The personal profile of the user consists of three features; the topics extracted from the message body, and the sender and the receiver(s) found in the message header. The proposed method processes the message body to extract the features of the type and urgency of the message. The priority of a message is calculated as the weighted sum of these features using the weights of each feature as determined by multiple-regression analysis. An experiment demonstrates that the proposed method can be put to practical use such as ranking or filtering the many messages received.