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TripEneer: User-based Travel Plan Recommendation Application

Publications associées (54)

Graph Chatbot

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Crowdsourcing Literal Review

Chi Thang Duong

Our user feedback framework requires some robust techniques in order to tackle the scalability issue of schema matching network. One approach is employing crowd-sourcing/human computation models. Crowdsourcing is one of cutting-edge research areas which in ...

2014

Distributed user profiling via spectral methods

Dan-Cristian Tomozei

User profiling is a useful primitive for constructing personalised services, such as content recommendation. In the present paper we investigate the feasibility of user profiling in a distributed setting, with no central authority and only local informatio ...

2014

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

Martin Rajman, Vinh Toan Luu, Pascal Felber

Search engines essentially rely on the structure of the graph of hyperlinks. Although accurate for the main trend, this is not effective when some query is ambiguous. Leveraging semantic information by the mean of interest matching allows proposing complem ...

Wiley-Blackwell2013

Recommendation using textual opinions

Boi Faltings, Claudiu-Cristian Musat

Many web sites collect reviews of products and services and use them provide rankings of their quality. However, such rankings are not personalized. We investigate how the information in the reviews written by a particular user can be used to personalize t ...

2013

Design and User Perception Issues for Personality-Engaged Recommender Systems

Rong Hu

Recommender systems have emerged, as an intelligent information filtering tool, to help users effectively identify information items of interest from a set of overwhelming choices and provide personalized services. Most recommendation technologies typicall ...

EPFL2012

Evaluating recommender systems from the user's perspective: survey of the state of the art

Pearl Pu Faltings, Li Chen, Rong Hu

A recommender system is a Web technology that proactively suggests items of interest to users based on their objective behavior or explicitly stated preferences. Evaluations of recommender systems (RS) have traditionally focused on the performance of algor ...

Springer Netherlands2012

Design and Evaluation of a Graphical iPad Application for Arranging Adaptive Furniture

Auke Ijspeert, Pierre Dillenbourg, Patrick Jermann, Julia Fink, Rico Möckel, Stéphane Bonardi, Jérémy Blatter

We present the design and evaluation of an iPad application that will be used to operate the modular robots “Roombots”. Roombots are the building blocks for adaptive pieces of furniture. The application allows a user to arrange adaptive furniture within a ...

2012

Music Recommendation to Groups

Lucas Maystre

First we present Unison, a conceptual music recommender system for groups of people; the system aims at generating a playlist that takes musical tastes of all the group members into account. We discuss both theoretical and practical concerns related to suc ...

2012

On-line unsupervised adaptation for face verification using Gaussian Mixture Models with multiple user models

Sébastien Marcel, Niklas Johansson

In this paper, we present an initial study of on-line unsupervised adaptation for face verification. To the authorsâ€™ knowledge this is the first study of this type. The key contributions consist of four test scenarios for the BANCA database as well as tw ...

Idiap2011

Speech Indexation in REPLAY

Samir Atitallah

With the number of lecture recordings increasing constantly, technologies are needed to help the user find, access, and navigate through videos. This paper proposes a Sphinx-4-based [1] speech-to-text solution within the REPLAY framework to produce rich me ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2011