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» Mining preferences from superior and inferior examples
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DASFAA
2010
IEEE
139views Database» more  DASFAA 2010»
13 years 11 months ago
Highly Scalable Multiprocessing Algorithms for Preference-Based Database Retrieval
Abstract. Until recently algorithms continuously gained free performance improvements due to ever increasing processor speeds. Unfortunately, this development has reached its limit...
Joachim Selke, Christoph Lofi, Wolf-Tilo Balke
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 5 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima
COLING
2008
13 years 6 months ago
Mining Opinions in Comparative Sentences
This paper studies sentiment analysis from the user-generated content on the Web. In particular, it focuses on mining opinions from comparative sentences, i.e., to determine which...
Murthy Ganapathibhotla, Bing Liu
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 5 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
13 years 10 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...