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ICC
2007
IEEE
145views Communications» more  ICC 2007»
13 years 11 months ago
Predicting User-Perceived Quality Ratings from Streaming Media Data
Abstract—Media stream quality is highly dependent on underlying network conditions, but identifying scalable, unambiguous metrics to discern the user-perceived quality of a media...
Amy Csizmar Dalal, David R. Musicant, Jamie F. Ols...
IIR
2010
13 years 6 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 11 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
WINE
2005
Springer
109views Economy» more  WINE 2005»
13 years 10 months ago
New Algorithms for Mining the Reputation of Participants of Online Auctions
The assessment of credibility and reputation of contractors in online auctions is the key issue in providing reliable environment for customer-to-customer e-commerce. Confident re...
Mikolaj Morzy
KDD
2006
ACM
172views Data Mining» more  KDD 2006»
14 years 5 months ago
Attack detection in time series for recommender systems
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...