TY - GEN
T1 - Towards three-stage recommender support for online consumers
T2 - 11th International Conference on Web Information Systems Engineering, WISE 2010
AU - CHEN, Li
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - In this paper, a three-stage recommender support was implied from a user study. The purpose of the user study was to understand how to best utilize different types of social information (e.g., product popularity, user reviews) for facilitating online consumers' decision-making process in the e-commerce environment. Through both of in-depth tracking users' objective behavior and qualitative interviewing their reflective thoughts, we have not only refined a traditional two-stage decision process into a more precise three-stage process, but also identified at each stage what information users are inclined to seek for. Based on the study's results, suggestions were made to related recommender systems about their practical roles in the three-stage framework and how they can more effectively support users' information needs.
AB - In this paper, a three-stage recommender support was implied from a user study. The purpose of the user study was to understand how to best utilize different types of social information (e.g., product popularity, user reviews) for facilitating online consumers' decision-making process in the e-commerce environment. Through both of in-depth tracking users' objective behavior and qualitative interviewing their reflective thoughts, we have not only refined a traditional two-stage decision process into a more precise three-stage process, but also identified at each stage what information users are inclined to seek for. Based on the study's results, suggestions were made to related recommender systems about their practical roles in the three-stage framework and how they can more effectively support users' information needs.
KW - complex decision making
KW - e-commerce
KW - Flickr camera finder
KW - high-value products
KW - recommender supports
KW - user study
KW - users' information needs
UR - http://www.scopus.com/inward/record.url?scp=78751472726&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17616-6_33
DO - 10.1007/978-3-642-17616-6_33
M3 - Conference contribution
AN - SCOPUS:78751472726
SN - 3642176151
SN - 9783642176159
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 365
EP - 375
BT - Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings
Y2 - 12 December 2010 through 14 December 2010
ER -