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 |
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Title of host publication | Web Information Systems Engineering, WISE 2010 - 11th International Conference, Proceedings |
Pages | 365-375 |
Number of pages | 11 |
DOIs | |
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) |
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Volume | 6488 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 11th International Conference on Web Information Systems Engineering, WISE 2010 |
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Country/Territory | Hong Kong |
Period | 12/12/10 → 14/12/10 |
Internet address |
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