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» Sentiment Summarization: Evaluating and Learning User Prefer...
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SIGIR
2004
ACM
15 years 3 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
69
Voted
UIST
1994
ACM
15 years 1 months ago
Evolutionary Learning of Graph Layout Constraints from Examples
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Toshiyuki Masui
CHI
1998
ACM
15 years 1 months ago
What can I say? Evaluating a Spoken Language Interface to Email
This paper presents experimental results comparing two different designs for a spoken language interface to email. We compare a mixed-initiative dialogue style, in which users can...
Marilyn A. Walker, Jeanne Fromer, Giuseppe Di Fabb...
AAAI
2012
13 years 1 days ago
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar