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RECSYS
2009
ACM
15 years 4 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
SIGMOD
2009
ACM
141views Database» more  SIGMOD 2009»
15 years 10 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...
RECSYS
2010
ACM
14 years 10 months ago
Global budgets for local recommendations
We present the design, implementation and evaluation of a new geotagging service, Gloe, that makes it easy to find, rate and recommend arbitrary on-line content in a mobile settin...
Thomas Sandholm, Hang Ung, Christina Aperjis, Bern...
VLDB
2005
ACM
146views Database» more  VLDB 2005»
15 years 10 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»
15 years 3 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