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MTA
2000
165views more  MTA 2000»
13 years 8 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
SIGMOD
2009
ACM
141views Database» more  SIGMOD 2009»
14 years 9 months ago
FlexRecs: expressing and combining flexible recommendations
Recommendation systems have become very popular but most recommendation methods are `hard-wired' into the system making experimentation with and implementation of new recomme...
Georgia Koutrika, Benjamin Bercovitz, Hector Garci...
VLDB
2005
ACM
146views Database» more  VLDB 2005»
14 years 9 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
VLDB
2004
ACM
155views Database» more  VLDB 2004»
14 years 2 months ago
AWESOME - A Data Warehouse-based System for Adaptive Website Recommendations
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
Andreas Thor, Erhard Rahm
ICDE
2009
IEEE
179views Database» more  ICDE 2009»
14 years 10 months ago
Flexible Recommendations for Course Planning
Most recommendation methods are `hard-wired' into the system and they support only fixed recommendations. The purpose of this demo is to show the expressivity of flexible reco...
Georgia Koutrika, Benjamin Bercovitz, Robert Ikeda...