- social software: automatic relationship clustering
- Machine Learning Meets the User Interface, Dec 12, 2003
- John Platt’s Home Page (MSR)
My research is focused on helping people become more effective and efficient. This research goal has two parts: making
intelligent user interfaces and building more efficient machine learning
algorithms to support the interface.Int the field of building intelligent user interfaces, I have worked on
- Improving the resolution of LCDs with ClearType.
- Making digital music easier to use with audio fingerprinting and AutoDJ.
- Making personal photographs more browsable with AutoAlbum.
- Improving document search through text categorization.
- Enabling Chinese users to quickly enter text with handwriting recognition.
I have also helped to create improved machine learning algorithms, such as
- Clustering algorithms (an overview)
- CURE: An Efficient Clustering Algorithm for Large Databases (1998)
- Clustering Algorithms (basic basic)
- Automatic Categorizing vs. Good Searching: Which Approach Will Ease Email Overload The Most?”
- CRM114 possible uses/mod
- Outlook Categorizer Add-In: An Experimental Framework for Email Categorization and Management
- List of open source clustering algorithm implementations – including Java, Python, Perl libraries
- dbacl – a digramic Bayesian classifier