Sciweavers

ICWE
2010
Springer
13 years 11 months ago
Automated Generation of Itineraries in Recommender Systems for Tourism
Current recommender systems can support tourists in choosing travel products (accommodation, activities, means of transport, etc.), in planning long trips, and in profitably spendi...
Pierpaolo Di Bitonto, Francesco Di Tria, Maria Lat...
ECWEB
2009
Springer
119views ECommerce» more  ECWEB 2009»
14 years 5 months ago
Designing a Metamodel-Based Recommender System
Current recommender systems have to cope with a certain reservation because they are considered to be hard to maintain and to give rather schematic advice. This paper presents an a...
Sven Radde, Bettina Zach, Burkhard Freitag
IUI
2003
ACM
14 years 5 months ago
Towards more conversational and collaborative recommender systems
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
Giuseppe Carenini, Jocelyin Smith, David Poole
IEEEARES
2008
IEEE
14 years 6 months ago
Experimental Demonstration of a Hybrid Privacy-Preserving Recommender System
Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
Esma Aïmeur, Gilles Brassard, José Man...
SIGIR
2009
ACM
14 years 7 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
RECSYS
2009
ACM
14 years 7 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...
WWW
2001
ACM
15 years 1 months ago
Building a Lifestyle Recommender System
Recommender systems are new types of internet-based software tools, designed to help users find their way through today's complex on-line shops and entertainment websites. He...
Supiya Ujjin, Peter J. Bentley