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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 ...
Travel has many situations where context-aware computing can bring important benefits. In this paper, we describe an approach for integrating context-aware computing to a mobile travel assistant. Travel plans, generated using reality [2], are enriched with ...
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 ...
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
Search goals are often too complex or poorly defined to be solved with a single query in a Web-based information environment. In this paper we describe how we use semantic fisheye views (SFEVs) to effectively support opportunistic search and browsing strat ...
The problems associated with computerized search tools in online product search environments are discussed. The application of the Utility Theory, using a tool for the travel planning domain is illustrated. The features of Isy-Travel, a tool based on Smart ...
IEEE Computer Society, Los Alamitos;Massey University, Palmerston, CA 90720-1314, United States;New Zealand2004
Finding the optimal solution of a Multi-Attribute Decision Problem (MADP) is a key problem for electronic commerce systems. In this paper, we formally define the multi-attribute decision problem, and we report our survey of four different methods (soft-CSP ...
Search goals are often too complex or poorly defined to be solved in a single query. While refining their search goals, users are likely to apply a variety of strategies, such as searching for more general or more specific concepts in reaction to the infor ...
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 ...
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
