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Evaluating example-based search tools
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Source Electronic Commerce archive
Proceedings of the 5th ACM conference on Electronic commerce table of contents
New York, NY, USA
SESSION: Session 8 table of contents
Pages: 208 - 217  
Year of Publication: 2004
ISBN:1-58113-711-0
Authors
Pearl Huan Z. Pu  Swiss Federal Institute of Technology, Switzerland
Pratyush Kumar  Swiss Federal Institute of Technology, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 59,   Citation Count: 25
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ABSTRACT

A crucial element in consumer electronic commerce is a catalog tool that not only finds the product for the user, but also convinces him that he has made the best choice. To do that, it is important to show him ample choices while keeping his interaction effort below an acceptable limit. Among the various interaction models used in operational e-commerce sites, ranked lists are by far the most popular tool for product navigation and selection. However, as the number of product features and the complexity of user's criteria increase, a ranked list's efficiency becomes less satisfactory. As an alternative, research groups from the intelligent user interface community have developed various example-based search tools, including SmartClient from our laboratory. These tools not only perform personalized search, but also support tradeoff analysis. However, despite the academic interest, example-based search paradigms have not been widely adopted in practice. We have examined the usability of such tools on a variety of tasks involving selection and tradeoff. The studies clearly show that example-based search is comparable to ranked lists on simple tasks, but significantly reduces the error rate and search time when complex tradeoffs are involved. This shows that such tools are likely to be useful particularly for extending the scope of consumer e-commerce to more complex products.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  25

Collaborative Colleagues:
Pearl Huan Z. Pu: colleagues
Pratyush Kumar: colleagues