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» A Survey of Explanations in Recommender Systems
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IEEEARES
2007
IEEE
16 years 10 days ago
Reputation Management Survey
Electronic markets, distributed peer-to-peer applications and other forms of online collaboration are all based on mutual trust, which enables transacting peers to overcome the un...
Sini Ruohomaa, Lea Kutvonen, Eleni Koutrouli
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
16 years 14 days ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
RECSYS
2009
ACM
16 years 16 days ago
Generating transparent, steerable recommendations from textual descriptions of items
We propose a recommendation technique that works by collecting text descriptions of items and using this textual aura to compute the similarity between items using techniques draw...
Stephen J. Green, Paul Lamere, Jeffrey Alexander, ...
DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 10 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
CSE
2009
IEEE
16 years 24 days ago
A Visual Interface for Social Information Filtering
Abstract—Collaborative or “Social” filtering has been successfully deployed over the years as a technique for analysing large amounts of user-preference knowledge to predict...
John O'Donovan, Brynjar Gretarsson, Svetlin Bostan...