Consumer preferences for the interface of e-commerce product recommendation system

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages526-537
Volume8527 LNCS
ISBN (Print)9783319072920
Publication statusPublished - Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8527 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title1st International Conference on HCI in Business, HCIB 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014
PlaceGreece
CityHeraklion, Crete
Period22 - 27 June 2014

Abstract

A recommendation system (RS) in a website is increasingly significant for consumer's decision making. A RS includes several important benefits, such as increasing user satisfaction and building user trust. Despite the growing literature that examined the usefulness of a specific attribute of a RS, less is known about which combination of attributes of a RS is preferable and how the combination influences consumer decision making. By using a conjoint analysis, we can further explore the impacts of combination attributes. In a lab experiment, we find that the importance ranking of attributes of a RS for the participants is quite different. Specifically, all the participants consider the attribute, "Explanation for Recommendation", is important. In addition, "Rating" is important for the specific participants. Furthermore, "Comment" seems to be less important to all the participants. Our results have important implications for the design of a RS. © 2014 Springer International Publishing.

Research Area(s)

  • adaptive interface, conjoint analysis, recommendation system, user interface preferences

Citation Format(s)

Consumer preferences for the interface of e-commerce product recommendation system. / Ku, Yi-Cheng; Peng, Chih-Hung; Yang, Ya-Chi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8527 LNCS Springer Verlag, 2014. p. 526-537 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8527 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)