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Implicit Feedback for Inferring User Preference: A Bibliography
, 2003
"... ... In this paper we consider the use of implicit feedback techniques for query expansion and user profiling in information retrieval tasks. These techniques unobtrusively obtain information about users by watching their natural interactions with the system. Some of the user behaviors that have been ..."
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Cited by 273 (11 self)
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... In this paper we consider the use of implicit feedback techniques for query expansion and user profiling in information retrieval tasks. These techniques unobtrusively obtain information about users by watching their natural interactions with the system. Some of the user behaviors that have
Recognizing and Utilizing User Preferences in
- In Proceedings of the Fourth International Conference on User Modeling
, 1994
"... A natural language collaborative consultation system must take user preferences into account. This paper presents two strategies: one for dynamically recognizing user preferences during the course of a collaborative planning dialogue and another for exploiting the model of user preferences to de ..."
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Cited by 1 (0 self)
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A natural language collaborative consultation system must take user preferences into account. This paper presents two strategies: one for dynamically recognizing user preferences during the course of a collaborative planning dialogue and another for exploiting the model of user preferences
Incorporating user preferences . . .
, 2010
"... The effectiveness of future decision support tools for Traffic Flow Management in the National Airspace System will depend on two major factors: computational burden and collaboration. Previous research has focused separately on these two aspects without con-sideration of their interaction. In this ..."
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. In this paper, their explicit combination is examined. It is shown that when user preferences are incorporated with an optimal approach to schedul-ing, runtime is not adversely affected. A benefit-cost ratio is used to measure the influence of user preferences on an optimal solution. This metric shows user
Automated Acquisition of User Preferences
, 1994
"... Decision support systems often require knowledge of users' preferences. However, preferences may vary among individual users or be difficult for users to articulate. This paper describes how user preferences can be acquired in the form of preference predicates by a learning apprentice system an ..."
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Cited by 12 (0 self)
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Decision support systems often require knowledge of users' preferences. However, preferences may vary among individual users or be difficult for users to articulate. This paper describes how user preferences can be acquired in the form of preference predicates by a learning apprentice system
Modeling the Propagation of User Preferences
"... Abstract. User preferences are a fundamental ingredient of personalized database applications, in particular those in which the user context plays a key role. Given a set of preferences defined in different contexts, in this paper we study the problem of deriving the preferences that hold in one of ..."
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Cited by 1 (0 self)
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Abstract. User preferences are a fundamental ingredient of personalized database applications, in particular those in which the user context plays a key role. Given a set of preferences defined in different contexts, in this paper we study the problem of deriving the preferences that hold in one
Bochmann, Quality of Service Negotiation Based on Device Capabilities and User Preferences
- U. of
, 2000
"... user preferences ..."
Elicitation of user preferences for multi-attribute negotiation
- In AAMAS
, 2003
"... Elicitation of user preferences for multi-attribute negotiation ..."
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Cited by 5 (0 self)
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Elicitation of user preferences for multi-attribute negotiation
Learning user preference in a personalized CBIR system
- in Proc. 16th International Conference on Pattern Recognition
"... Learning user preference in a personalized CBIR system ..."
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Cited by 2 (0 self)
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Learning user preference in a personalized CBIR system
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