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      <p>Alexander Felfernig, Juha Tiihonen, and Paul Blazek, Editors
Proceedings of the 1st International Workshop on Personalization &amp; Recommender Systems in
Financial Services
April 16, 2015, Graz, Austria
Alexander Felfernig, Graz University of Technology, Austria</p>
      <p>Juha Tiihonen, University of Helsinki, Finland</p>
      <p>Paul Blazek, cyLEDGE, Austria</p>
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      <title>Program Committee</title>
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      <title>Organizational Support</title>
      <p>Martin Stettinger, Graz University of Technology, Austria
Personalization and recommendation technologies provide the basis for applications that are
tailored to the needs of individual users. These technologies play an increasingly important
role for financial service providers. The selection of papers of this year’s workshop
demonstrates the wide range of techniques including contributions on knowledge-based
recommender systems, case-based reasoning, knowledge interchange, psychological
aspects of recommender systems in financial services, MediaWiki-based recommendation
technologies, smart data analysis and big data, and campaign customization.
The workshop is of interest for both, researchers working in the various fields of
personalization and recommender systems as well as for industry representatives. It
provides a forum for the exchange of ideas, evaluations, and experiences. As such, this
year's workshop on “Personalization &amp; Recommender Systems in Financial Services” aims at
providing a stimulating environment for knowledge-exchange among academia and industry
and thus building a solid basis for further developments in the field.</p>
      <p>Alexander Felfernig, Juha Tiihonen, and Paul Blazek
Smart Data Analysis for Financial Services (invited talk)
Mathias Bauer
Conflict Management in Interactive Financial Service Selection
Alexander Felfernig and Martin Stettinger
An Integrated Knowledge Engineering Environment for Constraint-based Recommender
Systems
Stefan Reiterer
A Personal Data Framework for Exchanging Knowledge about Users in New Financial
Services
Beatriz San Miguel, Jose M. del Alamo and Juan C. Yelmo
Human Computation Based Acquisition Of Financial Service Advisory Practices
Alexander Felfernig, Michael Jeran, Martin Stettinger, Thomas Absenger,
Thomas Gruber, Sarah Haas, Emanuel Kirchengast, Michael Schwarz, Lukas Skofitsch,
and Thomas Ulz
Case-based Recommender Systems for Personalized Finance Advisory (invited talk)
Cataldo Musto and Giovanni Semeraro
PSYREC: Psychological Concepts to enhance the Interaction with Recommender
Systems
Gerhard Leitner
1—2
3—10
11—18
19—26
27—34
35—36</p>
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