Recipient Recommendation in Enterprises Using Communication Graphs and Email Content
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| Publication date | 2014 |
| Book title | SIGIR '14 |
| Book subtitle | proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval: July 6-11 2014, Gold Coast, Queensland, Australia |
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| ISBN (electronic) |
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| Event | SIGIR '14: 37th international ACM SIGIR conference on Research and development in information retrieval |
| Pages (from-to) | 1079-1082 |
| Publisher | New York, NY: ACM |
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| Abstract | We address the task of recipient recommendation for emailing in enterprises. We propose an intuitive and elegant way of modeling the task of recipient recommendation, which uses both the communication graph (i.e., who are most closely connected to the sender) and the content of the email. Additionally, the model can incorporate evidence as prior probabilities. Experiments on two enterprise email collections show that our model achieves very high scores, and that it outperforms two variants that use either the communication graph or the content in isolation. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1145/2600428.2609514 |
| Downloads |
sigir2014-recipientrecommendation
(Accepted author manuscript)
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