Sciweavers

JNCA
2007
126views more  JNCA 2007»
13 years 3 months ago
Usage derived recommendations for a video digital library
We describe a minimalist methodology to develop usage-based recommender systems for multimedia digital libraries. A prototype recommender system based on this strategy was impleme...
Johan Bollen, Michael L. Nelson, Gary Geisler, Raq...
SIGKDD
2008
132views more  SIGKDD 2008»
13 years 3 months ago
Retail sales prediction and item recommendations using customer demographics at store level
This paper outlines a retail sales prediction and product recommendation system that was implemented for a chain of retail stores. The relative importance of consumer demographic ...
Michael Giering
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 3 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
SAC
2006
ACM
13 years 3 months ago
Privacy-preserving demographic filtering
The use of recommender systems in e-commerce to guide customer choices presents a privacy protection problem that is twofold. We seek to protect the privacy interests of customers...
Esma Aïmeur, Gilles Brassard, José Man...
KBS
2006
127views more  KBS 2006»
13 years 3 months ago
Collaborative Recommending using Formal Concept Analysis
We show how Formal Concept Analysis (FCA) can be applied to Collaborative Recommenders. FCA is a mathematical method for analysing binary relations. Here we apply it to the relati...
Patrick du Boucher-Ryan, Derek G. Bridge
FSS
2008
108views more  FSS 2008»
13 years 3 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...
DSS
2008
99views more  DSS 2008»
13 years 3 months ago
A graphical shopping interface based on product attributes
Most recommender systems present recommended products in lists to the user. By doing so, much information is lost about the mutual similarity between recommended products. We prop...
Martijn Kagie, Michiel C. van Wezel, Patrick J. F....
RECSYS
2010
ACM
13 years 3 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
RECSYS
2010
ACM
13 years 3 months ago
Beyond accuracy: evaluating recommender systems by coverage and serendipity
When we evaluate the quality of recommender systems (RS), most approaches only focus on the predictive accuracy of these systems. Recent works suggest that beyond accuracy there i...
Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Janna...
INTERACT
2003
13 years 5 months ago
Confidence Displays and Training in Recommender Systems
: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...