A personalized system for conversational recommendations

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Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Creator Thompson, Cynthia A.
Other Author Goker, Mehmet H.; Langley, Pat
Title A personalized system for conversational recommendations
Date 2002-06-26
Description Increased computing power and theWeb have made information widely accessible. In turn, this has encouraged the development of recommendation systems that help users find items of interest, such as books or restaurants. Such systems are more useful when they personalize themselves to each user?s preferences, thus making the recommendation process more efficient and effective. In this paper, we present a new type of recommendation system that carries out a personalized dialogue with the user. This system ? the Adaptive Place Advisor ? treats item selection as an interactive, conversational process, with the program inquiring about item attributes and the user responding. The system incorporates a user model that contains item, attribute, and value preferences, which it updates during each conversation and maintains across sessions. The Place Advisor uses both the conversational context and the user model to retrieve candidate items from a case base. The system then continues to ask questions, using personalized heuristics to select which attribute to ask about next, presenting complete items to the user only when a few remain. We report experimental results demonstrating the effectiveness of user modeling in reducing the time and number of interactions required to find a satisfactory item.
Type Text
Publisher University of Utah
Subject Adaptive Place Advisor; Recommendation systems
Subject LCSH Recommender systems (Information filtering)
Language eng
Bibliographic Citation Thompson, Cynthia A.; Goker, Mehmet H.; Langley, Pat (2002). A personalized system for conversational recommendations. UUCS-02-013.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 306,843 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6t44bbg
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2021-05-06
ID 703447
Reference URL https://collections.lib.utah.edu/ark:/87278/s6t44bbg
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