publication . Conference object . 2014

Recipient Recommendation in Enterprises Using Communication Graphs and Email Content

David Graus; David van Dijk; Manos Tsagkias; Wouter Weerkamp; Maarten de Rijke;
Open Access English
  • Published: 03 Jul 2014
  • Country: Netherlands
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.
Persistent Identifiers
Subjects
free text keywords: Graph, World Wide Web, Computer science
Related Organizations
Communities
  • CLARIN
  • Digital Humanities and Cultural Heritage DH-CH communities : CLARIN
Funded by
EC| VOX-POL
Project
VOX-POL
Virtual Centre of Excellence for Research in Violent Online Political Extremism
  • Funder: European Commission (EC)
  • Project Code: 312827
  • Funding stream: FP7 | SP1 | SEC
,
NWO| Modeling and Learning from Implicit Feedback in Information Retrieval
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300171779
,
EC| LIMOSINE
Project
LIMOSINE
Linguistically Motivated Semantic aggregatIon engiNes
  • Funder: European Commission (EC)
  • Project Code: 288024
  • Funding stream: FP7 | SP1 | ICT
,
NWO| Semantic Search in E-Discovery
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300168486
,
NWO| SPuDisc: Searching Public Discourse
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300176811
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NARCIS
Conference object . 2014
Open Access
NARCIS
Conference object . 2014
Providers: NARCIS

[1] L. Akoglu, M. McGlohon, and C. Faloutsos. Oddball: Spotting anomalies in weighted graphs. In PAKDD'10, 2010. [OpenAIRE]

[2] V. R. Carvalho and W. W. Cohen. Ranking users for intelligent message addressing. In ECIR'08, 2008.

[3] H. Henseler. Network-based filtering for large email collections in e-discovery. Artif. Intell. Law, 2010.

[4] Q. Hu, S. Bao, J. Xu, W. Zhou, M. Li, and H. Huang. Towards building effective email recipient recommendation service. In SOLI '12, 2012.

[5] B. Klimt and Y. Yang. The enron corpus: A new dataset for email classification research. ECML '04, 2004.

[6] A. McCallum, X. Wang, and A. Corrada-Emmanuel. Topic and role discovery in social networks with experiments on enron and academic email. J. Artif. Int. Res., 2007. [OpenAIRE]

[7] L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford InfoLab, 1999.

[8] C. Pal and A. McCallum. Cc prediction with graphical models. In CEAS, 2006.

[9] M. Roth, A. Ben-David, D. Deutscher, G. Flysher, I. Horn, A. Leichtberg, N. Leiser, Y. Matias, and R. Merom. Suggesting friends using the implicit social graph. In KDD '10, 2010.

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