Publications by Pearl Pu Faltings

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Increasing user decision accuracy using suggestions

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

The internet presents people with an increasingly bewildering variety of choices. Online consumers have to rely on computerized search tools to find the most preferred option in a reasonable amount of time. Recommender systems address this problem by searc ...

Association for Computing Machinery, New York, NY 10036-5701, United States2006

The lookahead principle for preference elicitation: Experimental results

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

Preference-based search is the problem of finding an item that matches best with a user's preferences. User studies show that example-based tools for preference-based search can achieve significantly higher accuracy when they are complemented with suggesti ...

Springer Verlag, Heidelberg, D-69121, Germany2006

A comparative study of compound critique generation in conversational recommender systems

Pearl Pu Faltings, Jiyong Zhang

Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. While unit critiques only allow users to critique one attribute of the products each ti ...

Springer Verlag, Heidelberg, D-69121, Germany2006

Agile decision agent for service-oriented e-commerce systems

Boi Faltings, Pearl Pu Faltings

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 ...

IEEE Comput. Soc2006

Performance evaluation of consumer decision support systems

Pearl Pu Faltings

Consumer decision support systems (CDSSs) help online users make purchasing decisions in e-commerce Web sites. To more effectively compare the usefulness of the various functionalities and interface features of such systems, we have developed a simulation ...

Idea Group Publishing2006

Evaluating Preference-based Search Tools: a Tale of Two Approaches

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

People frequently use the world-wide web to find their most preferred item among a large range of options. We call this task preference-based search. The most common tool for preference-based search on the WWW today obtains users' preferences by asking the ...

AAAI press2006

Preference-based Search using Example-Critiquing with Suggestions

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

We consider interactive tools that help users search for their most preferred item in a large collection of options. In particular, we examine example-critiquing, a technique for enabling users to incrementally construct preference models by critiquing exa ...

2006

Stimulating preference expression using suggestions

Pearl Pu Faltings, Paolo Viappiani

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

Pearl Pu Faltings, Jiyong Zhang

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 ...

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

Pearl Pu Faltings

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Trust building with explanation interfaces

Increasing user decision accuracy using suggestions

The lookahead principle for preference elicitation: Experimental results

A comparative study of compound critique generation in conversational recommender systems

Agile decision agent for service-oriented e-commerce systems

Performance evaluation of consumer decision support systems

Evaluating Preference-based Search Tools: a Tale of Two Approaches

Preference-based Search using Example-Critiquing with Suggestions

Stimulating preference expression using suggestions

Effort and accuracy analysis of choice strategies for electronic product catalogs

Trust building with explanation interfaces

Performance evaluation of consumer decision support systems

A comparative study of compound critique generation in conversational recommender systems

The lookahead principle for preference elicitation: Experimental results

Increasing user decision accuracy using suggestions

Stimulating preference expression using suggestions

Agile decision agent for service-oriented e-commerce systems

Effort and accuracy analysis of choice strategies for electronic product catalogs

Evaluating Preference-based Search Tools: a Tale of Two Approaches

Preference-based Search using Example-Critiquing with Suggestions