Article

Elicitation of profile attributes by transparent communication

Author:

Mike RadmacherAuthors Info & Claims

RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems

Pages 199 - 202

https://doi.org/10.1145/1297231.1297274

Published: 19 October 2007 Publication History

Abstract

When people are seeking information they are interested in, they need time, need to know exactly what they are looking for and require attention capacities to check different sources. Recommender systems help to overcome the information overflow and filter out irrelevant sources by comparing different types of information and selecting the best results in consideration of customer preferences. Therefore accurate customer profiles are necessary which nowadays do not exist. In a mobile environment customers are not willing to spend time on disclosing their preferences; maybe they are not aware of them or have difficulties to respond to system requests. The paper in hand follows recommendations by critiquing to improve profiling quality but instead of collecting information, the transparent communication of profile extensions is focused. The customer can add preferences to his profile without explicitly expressing. Furthermore, the connection between proposed preferences and the systems conclusion behind is visible.

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Cited By

Deuker ARadmacher M(2008)Multicast and Individual Service Provisioning in Mobile TVProceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services10.1109/CECandEEE.2008.107(261-266)Online publication date: 21-Jul-2008
https://dl.acm.org/doi/10.1109/CECandEEE.2008.107
Radmacher M(2008)A Procedure of How to Conduct Research in Transparent Mobile RecommendationsTowards Sustainable Society on Ubiquitous Networks10.1007/978-0-387-85691-9_5(49-60)Online publication date: 2008
https://doi.org/10.1007/978-0-387-85691-9_5

Index Terms

Elicitation of profile attributes by transparent communication
1. Information systems
2. Software and its engineering

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Published In

cover image ACM Conferences

RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems

October 2007

222 pages

ISBN:9781595937308

DOI:10.1145/1297231

General Chair:
Joseph A. Konstan
University of Minnesota, USA
,
Program Chairs:
John Riedl
University of Minnesota, USA
,
Barry Smyth
University College, Dublin, Ireland

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 19 October 2007

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RecSys07

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RecSys07: ACM Conference on Recommender Systems

October 19 - 20, 2007

MN, Minneapolis, USA

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

Deuker ARadmacher M(2008)Multicast and Individual Service Provisioning in Mobile TVProceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services10.1109/CECandEEE.2008.107(261-266)Online publication date: 21-Jul-2008
https://dl.acm.org/doi/10.1109/CECandEEE.2008.107
Radmacher M(2008)A Procedure of How to Conduct Research in Transparent Mobile RecommendationsTowards Sustainable Society on Ubiquitous Networks10.1007/978-0-387-85691-9_5(49-60)Online publication date: 2008
https://doi.org/10.1007/978-0-387-85691-9_5

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