[PDF][PDF] Learning to remove internet advertisements
N Kushmerick - Proceedings of the third annual conference on …, 1999 - dl.acm.org
N Kushmerick
Proceedings of the third annual conference on Autonomous Agents, 1999•dl.acm.orgADEATER is a fully implemented browsing assistant that automatically removes
advertisement images from Internet pages. Unlike related systems that rely on hand-crafted
rules, ADEATER takes an inductive learning approach, automatically generating rules from
training examples. Our experiments demonstrate that our approach is practical: the off-line
training phase takes less than six minutes; on-line classification takes about 70 msec; and
classification accuracy exceeds 97% given a modest set of training data.
advertisement images from Internet pages. Unlike related systems that rely on hand-crafted
rules, ADEATER takes an inductive learning approach, automatically generating rules from
training examples. Our experiments demonstrate that our approach is practical: the off-line
training phase takes less than six minutes; on-line classification takes about 70 msec; and
classification accuracy exceeds 97% given a modest set of training data.
Abstract
ADEATER is a fully implemented browsing assistant that automatically removes advertisement images from Internet pages. Unlike related systems that rely on hand-crafted rules, ADEATER takes an inductive learning approach, automatically generating rules from training examples. Our experiments demonstrate that our approach is practical: the off-line training phase takes less than six minutes; on-line classification takes about 70 msec; and classification accuracy exceeds 97% given a modest set of training data.
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