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AAAI
2006
15 years 1 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
108
Voted
CATE
2004
133views Education» more  CATE 2004»
15 years 1 months ago
Semi-Automatic Evaluation Features in Computer-assisted Essay Assessment
The role of assessment and evaluation has recently changed in a way which will have fundamental consequences in applying information and communication technologies (ICTs) to analy...
Tuomo Kakkonen, Niko Myller, Erkki Sutinen
96
Voted
CLEF
2010
Springer
15 years 1 months ago
Using Web Graph Structure for Person Name Disambiguation
In the third edition of WePS campaign we have undertaken the person name disambiguation problem referred to as a clustering task. Our aim was to make use of intrinsic link relation...
Elena Smirnova, Konstantin Avrachenkov, Brigitte T...
131
Voted
BMCBI
2008
100views more  BMCBI 2008»
15 years 17 days ago
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations
Background: The construction of literature-based networks of gene-gene interactions is one of the most important applications of text mining in bioinformatics. Extracting potentia...
Hyunsoo Kim, Haesun Park, Barry L. Drake
109
Voted
ESWA
2008
152views more  ESWA 2008»
15 years 16 days ago
Collaborative recommender systems: Combining effectiveness and efficiency
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...