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Paolo Viappiani

Cette personne n’est plus à l’EPFL

Publications associées (9)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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Preference-based search with adaptive recommendations

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

Conversational recommenders can help users find their most preferred item among a large range of options, a task that we call preference-based search. ...

2008

Preference-based search with suggestions

Paolo Viappiani

The internet provides an unprecedented variety of opportunities to people. Whether looking for a place to go on vacation, an apartment to rent, or a PC to buy, the potential customer is faced with countless possibilities. Most people have difficulty findin ...

EPFL2007

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

Design and Implementation of Preference-based Search

Boi Faltings, Paolo Viappiani

2006

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

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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

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