Building Expert Recommenders from Email-Based Personal Social Networks
Authors
Author (Corporation)
Publication date
2013
Typ of student thesis
Course of study
Collections
Type
03 - Edited collection
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Parent work
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DOI of the original publication
Link
Series
Series number
Volume
6
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Berlin
Edition
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Programming language
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Practice partner / Client
Abstract
In modern organisations there is the necessity to collaborate with people and establish interpersonal relationships. Contacting
the right person is crucial for the success of the performed daily tasks. Personal email corpora contain rich information about all the people the user knows and their activities. Thus, an analysis of a person's emails allows automatically constructing a realistic image of the surroundings of that person. This chapter aims to develop ExpertSN, a personalised Expert Recommender tool based on email Data Mining and Social Network Analysis.
Keywords
Egocentric Social Networks, Expert Search, Social Network
Subject (DDC)
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
License
Citation
RIVERA-PELAYO, Veronica, Simone BRAUN, Uwe V. RISS, Hans Friedrich WITSCHEL und Bo HU (Hrsg.), 2013. Building Expert Recommenders from Email-Based Personal Social Networks, 2013. Berlin: Springer. Verfügbar unter: https://doi.org/10.26041/fhnw-2800