Recommender Systems: Between Acceptance and Refusal

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

Abstract

Recommender Systems (RSs) are a prominent solution to the problem of information overload on the web. It is impossible for users to process or even understand all information presented to them. Also, it becomes more and more difficult for an individual to identify appropriate concrete pieces of information or information sources. RSs aim at adapting the presented content and the order in which it is presented to users’ individual needs, based on their preferences and past behavior. Yet, a system can only provide accurate recommendations if it has been authentically used before, i.e., been able to collect information about a user. As authentic usage depends on a user’s acceptance, the success of RSs in general is strongly dependent on acceptance also. If recommendations seem inappropriate, the trust in the system will fade. This paper presents a study analyzing how and to what extent different factors like transparency or controllability influence acceptance in the context of web-based recommendation.
OriginalspracheEnglisch
TitelABIS 2012 - Proceedings of the 19th International Workshop on Personalization and Recommendation on the Web and Beyond
Herausgeber (Verlag)Oldenburg Wissenschaftsverlag
Seitenumfang8
PublikationsstatusVeröffentlicht - 2012
VeranstaltungABIS 2012 - 19th International Workshop on Personalization and Recommendation on the Web and Beyond - Konstanz, Deutschland
Dauer: 9 Sep 20129 Sep 2012
http://abis.l3s.de/abis-2012-workshop

Workshop

WorkshopABIS 2012 - 19th International Workshop on Personalization and Recommendation on the Web and Beyond
Land/GebietDeutschland
OrtKonstanz
Zeitraum09.09.201209.09.2012
Internetadresse

Schlagwörter

  • acceptance
  • trust
  • personalization

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