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A Study on User Perception of Personality-Based Recommender Systems

Publications associées (38)

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TripEneer: User-based Travel Plan Recommendation Application

Karl Aberer, Surender Reddy Yerva, Flavia Adelina Grosan, Alexandru Octavian Tandrau

Current travel recommendation systems are helpful in addressing a traveler's information needs to certain extent, however, most of them fail to factor in the user in their recommendations. TripEneer proposes travel recommendations to a traveler by keeping ...

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

A User-Centric Evaluation Framework for Recommender Systems

Pearl Pu Faltings, Li Chen, Rong Hu

This research was motivated by our interest in understanding the criteria for measuring the success of a recommender system from users’ point view. Even though existing work has suggested a wide range of criteria, the consistency and validity of the combin ...

2011

Cognitive and social effects of handwritten annotations

Pierre Dillenbourg, Frédéric Kaplan, Andrea Mazzei

This article first describes a method for extracting and classifying handwritten annotations on printed documents using a simple camera integrated in a lamp. The ambition of such a research is to offer a seamless integration of notes taken on printed paper ...

2011

An ontology-based comparative anatomy information system

Introduction: This paper describes the design, implementation, and potential use of a comparative anatomy information system (CAIS) for querying on similarities and differences between homologous anatomical structures across species, the knowledge base it ...

2011

User Perceived Qualities and Acceptance of Recommender Systems

Nicolas Jones

Recommender systems have become important, as users are faced with an ever-increasing amount of information available on internet. Much of the research work on the topic has been focused on recommendation techniques, aiming at improving the accuracy of rec ...

EPFL2010

How Users Perceive and Appraise Personalized Recommendations

Pearl Pu Faltings, Li Chen, Nicolas Jones

Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone as far as using implicit feedback indicators to understand users' interests. More tha ...

Springer2009

How Users Perceive and Appraise Personalised Recommendations

Chen Li

2009

Design and evaluation issues for user-centric online product search

Jiyong Zhang

Nowadays more and more people are looking for products online, and a massive amount of products are being sold through e-commerce systems. It is crucial to develop effective online product search tools to assist users to find their desired products and to ...

EPFL2008

User decision improvement and trust building in product recommender systems

Li Chen

As online stores are offering an almost unlimited shelf space, users must increasingly rely on product search and recommender systems to find their most preferred products and decide which item is the truly best one to buy. However, much research work has ...

EPFL2008