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RECSYS
2009
ACM
14 years 2 months ago
Rate it again: increasing recommendation accuracy by user re-rating
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...
SIGMOD
2009
ACM
191views Database» more  SIGMOD 2009»
14 years 8 months ago
Scalable skyline computation using object-based space partitioning
The skyline operator returns from a set of multi-dimensional objects a subset of superior objects that are not dominated by others. This operation is considered very important in ...
Shiming Zhang, Nikos Mamoulis, David W. Cheung
SIGIR
2003
ACM
14 years 1 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
EMNLP
2011
12 years 7 months ago
Data-Driven Response Generation in Social Media
We present a data-driven approach to generating responses to Twitter status posts, based on phrase-based Statistical Machine Translation. We find that mapping conversational stim...
Alan Ritter, Colin Cherry, William B. Dolan
RECSYS
2010
ACM
13 years 8 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street