Functional Properties of Information Filtering
Summary: Defines information filtering as a mathematical function and models its properties as constraints for formal evaluation. Uses constraint inclusions to categorize filtering systems and guides category-aware processing to improve efficiency and enable declarative filtering design. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rie Sawai
- 2. Masahiko Tsukamoto
- 3. Yin-Huei Loh
- 4. Tsutomu Terada
- 5. Shojiro Nishio
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