Concept

Recommender system

Related publications (168)

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Personalized, Interactive Tag Recommendation for Flickr

Ingmar Weber, Nikhil Garg

We study the problem of personalized, interactive tag recommendation for Flickr: While a user enters/selects new tags for a particular picture, the system suggests related tags to her, based on the tags that she or other people have used in the past along ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2008

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

User Technology Adoption Issues in Recommender Systems

Pearl Pu Faltings, Nicolas Jones

Two music recommender websites, Pandora (a content-based recommender) and Last.fm (a rating-based social recommender), were compared side-by-side in a within-subject user study involving 64 participants. The main objective was to investigate users’ initial ...

2007

Using Hierarchical Clustering for Learning the Ontologies used in Recommendation Systems

Boi Faltings, Vincent Jean Fabrice Schickel

Ontologies are being successfully used to overcome semantic heterogeneity, and are becoming fundamental elements of the Semantic Web. Recently, it has also been shown that ontologies can be used to build more accurate and more personalized recommendation s ...

2007

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

Refining preference-based search results through Bayesian filtering

Pearl Pu Faltings, Jiyong Zhang

Preference-based search (PBS) is a popular approach for helping consumers find their desired items from online catalogs. Currently most PBS tools generate search results by a certain set of criteria based on preferences elicited from the current user durin ...

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

Personalized information access in a wiki using structured tagging

Karl Aberer, Akshay Kiran Singh

Environmental engineers from different organizations work in interdisciplinary projects having the need of information exchange. In particular, a collaborative environment with personalized access to information is needed, which supports strongly varying i ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2007

Contextual Bookmarks

Daniel Thalmann, Xavier Righetti

The role of digital information in everyday life divides out activities in interacting with the physical and the digital world. There is no connection between these worlds that is easily accessible, even though physical objects, persons, and real world eve ...

2007

Overcoming Incomplete User Models in Recommendation Systems Via an Ontology

Boi Faltings, Vincent Jean Fabrice Schickel

To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due to a lack of inductive bias in the learning methods used to build the prediction mode ...

Springer2006

Agile decision agent for service-oriented e-commerce systems

Boi Faltings, Pearl Pu Faltings

In a service-oriented e-commerce environment, it is a crucial task to help consumers choose desired products efficiently from a huge amount of dynamically configured product candidates. Decision agents can be designed to provide interactive decision aids f ...

IEEE Comput. Soc2006