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» Using Temporal Data for Making Recommendations
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EWMF
2003
Springer
15 years 8 months ago
Semantically Enhanced Collaborative Filtering on the Web
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Bamshad Mobasher, Xin Jin, Yanzan Zhou
SIGSOFT
2004
ACM
16 years 3 months ago
Testing static analysis tools using exploitable buffer overflows from open source code
Five modern static analysis tools (ARCHER, BOON, PolySpace C Verifier, Splint, and UNO) were evaluated using source code examples containing 14 exploitable buffer overflow vulnera...
Misha Zitser, Richard Lippmann, Tim Leek
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Using Implicit Relevane Feedback to Advance Web Image Search
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
En Cheng, Feng Jing, Mingjing Li, Wei-Ying Ma, Hai...
SIGIR
2002
ACM
15 years 2 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny
GIS
2004
ACM
16 years 3 months ago
Spatio-temporal aggregates over raster image data
Spatial, temporal and spatio-temporal aggregates over continuous streams of remotely sensed image data build a fundamental operation in many applications in the environmental scie...
Jie Zhang, Michael Gertz, Demet Aksoy