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UM
2007
Springer

Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems

8 years 10 months ago
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that may better interest the user. In this paper, we present a novel approach to assist users in making critiques according to their stated and potentially hidden preferences. This approach is derived from our previous work on critique generation and organization techniques. Based on a collection of real user data, we conducted an experiment to compare our approach with three existing critique generation systems. Results show that our preference-based organization interface achieves the highest level of prediction accuracy in suggesting users’ intended critiques and recommendation accuracy in locating users’ target choices. In addition, it can potentially most efficiently save real users’ interaction effort in decision making.
Li Chen, Pearl Pu
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where UM
Authors Li Chen, Pearl Pu
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