Person
Paolo Viappiani
This person is no longer with EPFL
Related publications (9)
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. ...
2008Preference-based search with suggestions
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 ...
EPFL2007Increasing 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 States2006The 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, Germany2006Design and Implementation of Preference-based Search
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 ...
2006Evaluating 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 press2006Preference-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 ...
2006Stimulating 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 States2005Designing 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