Hybrid Personalization for Recommendations

Eelco Herder; Philipp Kärger

Hybrid Personalization for Recommendations

Eelco Herder, Philipp Kärger

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Abstract

In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hybrid recommender systems, but works on a conceptual level—it is decoupled from the actual adaptation in the user interface. This has as an advantage that one can optimize the adaptation ‘behind the screens’ or—conversely—attach a new visualization mechanism to the personalization technique. We show the practical benefits of this layered, hybrid adaptation mechanisms by means of a case study on personalized curriculum planning where it is recommended which course could or should be followed at which state in the learning process.

Original language	English
Title of host publication	Proceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System,
Editors	Joachim Baumeister, Martin Atzmüller
Place of Publication	Wurzbürg
Publisher	Department of Computer Science, University of Würzburg
Pages	20-25
Volume	448
Publication status	Published - 25 Nov 2008
Event	ABIS 2008: 16th Workshop on Adaptivity and User Modeling in Interactive Systems - Wurzbürg, Germany Duration: 6 Oct 2008 → 8 Oct 2008

Conference

Conference	ABIS 2008
Abbreviated title	ABIS 2008
Country/Territory	Germany
City	Wurzbürg
Period	6/10/08 → 8/10/08

Keywords

personalization
recommendation

Cite this

@inproceedings{2fbeb6ac1fd34c688786f457d641e04e,

title = "Hybrid Personalization for Recommendations",

abstract = "In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hybrid recommender systems, but works on a conceptual level—it is decoupled from the actual adaptation in the user interface. This has as an advantage that one can optimize the adaptation {\textquoteleft}behind the screens{\textquoteright} or—conversely—attach a new visualization mechanism to the personalization technique. We show the practical benefits of this layered, hybrid adaptation mechanisms by means of a case study on personalized curriculum planning where it is recommended which course could or should be followed at which state in the learning process.",

keywords = "personalization, recommendation",

author = "Eelco Herder and Philipp K{\"a}rger",

note = "DS_Description: Herder, E., & K{\"a}rger, P. (2008). Hybrid Personalization for Recommendations. In J. Baumeister & M. Atzm{\"u}ller, Proceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System, ABIS 2008 (pp. 20-25). October, 6-10, 2008, W{\"u}rzburg, Germany: Universit{\"a}t W{\"u}rzburg. Website with link to proceedings: http://lwa08.informatik.uni-wuerzburg.de/Wiki.jsp?page=FGABIS08 DS_Sponsorship:The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org]; ABIS 2008 : 16th Workshop on Adaptivity and User Modeling in Interactive Systems, ABIS 2008 ; Conference date: 06-10-2008 Through 08-10-2008",

year = "2008",

month = nov,

day = "25",

language = "English",

volume = "448",

pages = "20--25",

editor = "Joachim Baumeister and Martin Atzm{\"u}ller",

booktitle = "Proceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System,",

publisher = "Department of Computer Science, University of W{\"u}rzburg",

address = "Germany",

}

Hybrid Personalization for Recommendations. / Herder, Eelco; Kärger, Philipp.
Proceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System, . ed. / Joachim Baumeister; Martin Atzmüller. Vol. 448 Wurzbürg: Department of Computer Science, University of Würzburg, 2008. p. 20-25.

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - Hybrid Personalization for Recommendations

AU - Herder, Eelco

AU - Kärger, Philipp

N1 - DS_Description: Herder, E., & Kärger, P. (2008). Hybrid Personalization for Recommendations. In J. Baumeister & M. Atzmüller, Proceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System, ABIS 2008 (pp. 20-25). October, 6-10, 2008, Würzburg, Germany: Universität Würzburg. Website with link to proceedings: http://lwa08.informatik.uni-wuerzburg.de/Wiki.jsp?page=FGABIS08 DS_Sponsorship:The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org]

PY - 2008/11/25

Y1 - 2008/11/25

N2 - In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hybrid recommender systems, but works on a conceptual level—it is decoupled from the actual adaptation in the user interface. This has as an advantage that one can optimize the adaptation ‘behind the screens’ or—conversely—attach a new visualization mechanism to the personalization technique. We show the practical benefits of this layered, hybrid adaptation mechanisms by means of a case study on personalized curriculum planning where it is recommended which course could or should be followed at which state in the learning process.

AB - In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hybrid recommender systems, but works on a conceptual level—it is decoupled from the actual adaptation in the user interface. This has as an advantage that one can optimize the adaptation ‘behind the screens’ or—conversely—attach a new visualization mechanism to the personalization technique. We show the practical benefits of this layered, hybrid adaptation mechanisms by means of a case study on personalized curriculum planning where it is recommended which course could or should be followed at which state in the learning process.

KW - personalization

KW - recommendation

UR - http://ki.informatik.uni-wuerzburg.de/papers/baumeister/2008/LWA2008-Proc.pdf

M3 - Conference Article in proceeding

VL - 448

SP - 20

EP - 25

BT - Proceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System,

A2 - Baumeister, Joachim

A2 - Atzmüller, Martin

PB - Department of Computer Science, University of Würzburg

CY - Wurzbürg

T2 - ABIS 2008

Y2 - 6 October 2008 through 8 October 2008

ER -

Hybrid Personalization for Recommendations

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this