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» Learning how to learn with web contents
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WWW
2003
ACM
15 years 10 months ago
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
Kushal Dave, Steve Lawrence, David M. Pennock
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 10 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
CIKM
2009
Springer
15 years 2 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
ETS
2000
IEEE
113views Hardware» more  ETS 2000»
14 years 9 months ago
NetChat: Communication and Collaboration via WWW
Practice has shown that providing content to students alone is not sufficient for good learning results. In computer based training (CBT) and especially webbased training (WBT) en...
Reinhard Kreutz, Sven Kiesow, Klaus Spitzer
SIGUCCS
2000
ACM
15 years 2 months ago
Training... A Key to Better Help Desk Consultants
The quality of student consultants and their development through training and education are major factors in determining long-term effectiveness of university Help Desk. To hire a...
Anna Maria Perez, Andrea J. Moore