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KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 7 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
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 7 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
KDD
2002
ACM
110views Data Mining» more  KDD 2002»
16 years 7 months ago
A model for discovering customer value for E-content
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
Srinivasan Jagannathan, Jayanth Nayak, Kevin C. Al...
KDD
2002
ACM
197views Data Mining» more  KDD 2002»
16 years 7 months ago
SimRank: a measure of structural-context similarity
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...
Glen Jeh, Jennifer Widom
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 7 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
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