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KDD
2006
ACM
167views Data Mining» more  KDD 2006»
15 years 10 months ago
Identifying "best bet" web search results by mining past user behavior
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
Eugene Agichtein, Zijian Zheng
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 10 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
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
CHI
2005
ACM
15 years 10 months ago
Combining head tracking and mouse input for a GUI on multiple monitors
The use of multiple LCD monitors is becoming popular as prices are reduced, but this creates problems for window management and switching between applications. For a single monito...
Mark Ashdown, Kenji Oka, Yoichi Sato
SIGMOD
2009
ACM
189views Database» more  SIGMOD 2009»
15 years 10 months ago
Query segmentation using conditional random fields
A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this pape...
Xiaohui Yu, Huxia Shi