Publications de Paolo Viappiani

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

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

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 Verlag2006

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

Design and Implementation of Preference-based Search

Boi Faltings, Paolo Viappiani

2006

Stimulating Preference Expression Using Suggestions

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani, Vincent Jean Fabrice Schickel

2005

Stimulating preference expression using suggestions

Boi Faltings, 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