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Preference-based search with suggestions

Publications associées (84)

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Trust building with explanation interfaces

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Based on our recent work on the development of a trust model for recommender agents and a qualitative survey, we explore the potential of building users' trust with explanation interfaces. We present the major results from the survey, which provided a road ...

ACM2006

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Building ubiquitous applications that exploit location requires both low-level underlying infrastructure for linking sensors and managing spatial information and also high-level representation of the measured space to produce a pleasant user experience. Ho ...

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In a service-oriented e-commerce environment, it is a crucial task to help consumers choose desired products efficiently from a huge amount of dynamically configured product candidates. Decision agents can be designed to provide interactive decision aids f ...

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Stimulating preference expression using suggestions

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Users often have to search for a most preferred item but do not know how to state their preferences in the language allowed by the system. Example-Critiquing has been proposed as a mixed-initiative technique for allowing them to construct their preference ...

American Association for Artificial Intelligence, Menlo Park, CA 94025-3496, United States2005

Effort and accuracy analysis of choice strategies for electronic product catalogs

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One crucial task for e-commerce systems is to help buyers find products that not only satisfy their preferences but also reduce their search effort. Usually the amount of available products is far beyond the upper limit that any individual could process by ...

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In a previously reported user study, we found that users were able to perform decision tradeoff tasks more efficiently and commit considerably fewer errors with the example critiquing interface than with the ranked list. We concluded that example-based sea ...

Association for Computing Machinery, New York, NY 10036-5701, United States2005

Agile preference models based on soft constraints

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An accurate model of the user's preferences is a crucial element of most decision support systems. It is often assumed that users have a well-defined and stable set of preferences that can be elicited through a set of questions. However, recent research ha ...

American Association for Artificial Intelligence, Menlo Park, CA 94025-3496, United States2005

Concept expansion using semantic fisheye views

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Exploratory search over a collection often requires users to iteratively apply a variety of strategies, such as searching for more general or more specific concepts in reaction to the information they encounter. Rich semantic models, such as WordNet, are p ...

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Survey of Preference Elicitation Methods

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As people increasingly rely on interactive decision support systems to choose products and make decisions, building effective interfaces for these systems becomes more and more challenging due to the explosion of on-line information, the initial incomplete ...

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Designing Example-critiquing Interaction

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

In many practical scenarios, users are faced with the problem of choosing the most preferred outcome from a large set of possibilities. As people are unable to sift through them manually, decisions support systems are often used to automatically find the o ...

2004