Publication

CoFeed: privacy-preserving Web search recommendation based on collaborative aggregation of interest feedback

Publications associées (47)

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.

Connectez-vous pour utiliser Chat avec Graph Search

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

Trust-inspiring explanation interfaces for recommender systems

Pearl Pu Faltings, Li Chen

A recommender system's ability to establish trust with users and convince them of its recommendations, such as which camera or PC to purchase, is a crucial design factor especially for e-commerce environments. This observation led us to build a trust model ...

Elsevier, Amsterdam, 1000 AE, Netherlands2007

Evaluating compound critiquing recommenders: A real-user study

Pearl Pu Faltings, Jiyong Zhang

Conversational recommender systems are designed to help users to more efficiently navigate complex product spaces by alternatively making recommendations and inviting users' feedback. Compound critiquing techniques provide an efficient way for users to fee ...

Association for Computing Machinery, New York, NY 10036-5701, United States2007

Ontology filtering

Vincent Jean Fabrice Schickel

With the ever growing importance of internet, people are becoming overwhelmed by information. More concretely, consider a situation where you find yourself with an evening alone and would like to rent a DVD to watch. For several reasons, this is a difficul ...

EPFL2007

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

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

A Dialogue-based Grounding mechanism and new Service Description Features for adapting Semantic (Web) Services to Personal Assistants

Martin Rajman, David Portabella Clotet

We delegate increasingly sophisticated and complex tasks to computer programs, and we require them to act autonomously on our behalf in distributed environments (eg the web, the grid). Personal Assistants (PA) are computer programs that can be thought as a ...

Swiss Federal Institute of Technology (EPFL)2004