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PERVASIVE
2005
Springer
14 years 1 months ago
Product Reviews in Mobile Decision Aid Systems
Recommender systems provide decision aid and information filtering functions that have a great potential application in the mobile context. An aspect which has not been extensive...
René T. A. Wietsma, Francesco Ricci
AAAI
2006
13 years 9 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
DSS
2008
99views more  DSS 2008»
13 years 7 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....
SIGMOD
2008
ACM
130views Database» more  SIGMOD 2008»
14 years 7 months ago
From del.icio.us to x.qui.site: recommendations in social tagging sites
We present x.qui.site, a scalable system for managing recommendations for social tagging sites like del.icio.us. seamlessly incorporates various user behaviors into the recommenda...
Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich...
RECSYS
2009
ACM
14 years 2 months ago
Learning to recommend helpful hotel reviews
User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we d...
Michael P. O'Mahony, Barry Smyth