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Spoilers Ahead Personalized Web Filtering

Explore the innovative research by ETH Zurich's Distributed Computing Group on personalized web filtering using a heuristic approach. Learn about the Node Removal Problem and maximizing value while limiting weight of selected items. Discover the future work and concepts behind this tool.

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Spoilers Ahead Personalized Web Filtering

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  1. Spoilers AheadPersonalized Web Filtering Pascal Bissig, Philipp Brandes, Roger Wattenhofer, Roman Willi ETH Zurich - Distributed Computing Group - www.disco.ethz.ch

  2. HTML

  3. DOM Tree

  4. The Node Removal Problem Each node contains «bad» and «good» words.

  5. The Node Removal Problem Each node contains «bad» and «good» words. Value Weight Maximize value of selected items Limit weight of selected items

  6. Heuristic Locality + Remove every keyword

  7. Assumptions

  8. Future Work • Block Concepts, not Keywords • Chrome Version

  9. Questions?

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