Towards three-stage recommender support for online consumers: Implications from a user study

Li CHEN

doi:10.1007/978-3-642-17616-6_33

Towards three-stage recommender support for online consumers: Implications from a user study

Li CHEN^*

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings
Pages	365-375
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-17616-6_33
Publication status	Published - 2010
Event	11th International Conference on Web Information Systems Engineering, WISE 2010 - , Hong Kong Duration: 12 Dec 2010 → 14 Dec 2010 https://link.springer.com/book/10.1007/978-3-642-17616-6 https://link.springer.com/book/10.1007/978-3-642-24396-7

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6488 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Web Information Systems Engineering, WISE 2010
Country/Territory	Hong Kong
Period	12/12/10 → 14/12/10
Internet address	https://link.springer.com/book/10.1007/978-3-642-17616-6 https://link.springer.com/book/10.1007/978-3-642-24396-7

Scopus Subject Areas

Theoretical Computer Science
Computer Science(all)

User-Defined Keywords

complex decision making
e-commerce
Flickr camera finder
high-value products
recommender supports
user study
users' information needs

Access to Document

10.1007/978-3-642-17616-6_33

Cite this

CHEN, L. (2010). Towards three-stage recommender support for online consumers: Implications from a user study. In Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings (pp. 365-375). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6488 LNCS). https://doi.org/10.1007/978-3-642-17616-6_33

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title = "Towards three-stage recommender support for online consumers: Implications from a user study",

abstract = "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.",

keywords = "complex decision making, e-commerce, Flickr camera finder, high-value products, recommender supports, user study, users' information needs",

author = "Li CHEN",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 11th International Conference on Web Information Systems Engineering, WISE 2010 ; Conference date: 12-12-2010 Through 14-12-2010",

year = "2010",

doi = "10.1007/978-3-642-17616-6_33",

language = "English",

isbn = "3642176151",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "365--375",

booktitle = "Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings",

url = "https://link.springer.com/book/10.1007/978-3-642-17616-6, https://link.springer.com/book/10.1007/978-3-642-24396-7",

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CHEN, L 2010, Towards three-stage recommender support for online consumers: Implications from a user study. in Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6488 LNCS, pp. 365-375, 11th International Conference on Web Information Systems Engineering, WISE 2010, Hong Kong, 12/12/10. https://doi.org/10.1007/978-3-642-17616-6_33

Towards three-stage recommender support for online consumers : Implications from a user study. / CHEN, Li.

Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings. 2010. p. 365-375 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6488 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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CHEN L. Towards three-stage recommender support for online consumers: Implications from a user study. In Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings. 2010. p. 365-375. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-17616-6_33

Towards three-stage recommender support for online consumers: Implications from a user study

Abstract

Publication series

Conference

Scopus Subject Areas

User-Defined Keywords

Access to Document

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