Auto Categorization

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Published on May 2, 2008

Author: Connor

Source: authorstream.com

Cyborg Categorization Salvation for Search? :  Cyborg Categorization Salvation for Search? Tom Reamy Information Architect Charles Schwab © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) Categorization Explosion:  Categorization Explosion Autonomy Semio Verity Inxight Topical Net Mohomine Simile H5Technologies GammaSite MetaTagger Applied Semantics Sageware SmartLogik Quiver PurpleYogi Other - Tacit Categorization: Why Now?:  Categorization: Why Now? Forrester: Must Search Stink? Browse and Search Need a Taxonomy Problem: Expensive to develop Taxonomies Buy Search to get Categorization News Feeds - Corporate Intranets:  News Feeds - Corporate Intranets News Feeds and Content providers uniform content, size and structure professional writers Simple or standard vocabulary Corporate intranet Wildly varied content Mix of good, bad, and ugly writers Tower of Babel: Acronyms, special meanings © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) Auto-Categorization: the How:  Auto-Categorization: the How Rules Catalog by Example Statistical Clustering Support Vector Machines Machine Learning World Knowledge © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) Automatic vs. Humanatic:  Automatic vs. Humanatic Humans are better, but not as consistent General bin, understandable mistakes Bring outside contexts to the document Purpose, similar documents, common sense Computers are faster and cheaper. Faster yes, Cheaper ? Cost of poorer quality categorization Intranet: 20,000 users taking 60 seconds longer = $20,000 a week © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) The Answer is Cyborg:  The Answer is Cyborg Integration not Assimilation Human and Computer Integration Iterative, distributed work flow, ease of use Cyborg and Content Management Categorization and keywords by Subject Matter Experts Cyborg and Search Computers and people learn from each other Create the Taxonomy:  Create the Taxonomy Top Level Taxonomy - 7-12 Categories Human intensive, Cluster - random creativity Grow the Taxonomy - 2nd - 3rd Levels Humans - create rules, select training sets Computers - Taxonomy Builders, Refine rules or training sets Essential Feature White Box Categorization Customize algorithm, not just results © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) Refine the Taxonomy:  Refine the Taxonomy Initial Phase: Information Architect Effort Suggest Provisional Categorization, Meta Data Automatic Summarization Support Distributed Work flow Visualization of taxonomic relationships © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) Maintain the Taxonomy:  Maintain the Taxonomy Intranets - ongoing human efforts Can’t pass on the cost to your customers - they work for the same company as you Continue and Improve Refinement Collaborative Categorization Features: Smart Learning categorization Integration - Content management, Search © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) Apply the Taxonomy:  Apply the Taxonomy Integration of Search and Categorization Browse and Search Real time clustering, customiztion of results support collaborative filtering Integration with Content Management Integrated Distributed Work Flow Support Taxonomic Publishing Model Integration with Expertise & Processes © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) Lessons Learned:  Lessons Learned Out of the Box, Out of Your Mind Play well with others Brain surgery is funl World revolves around you Quality counts and size matters Let a Hundred flowers Bloom The End © 2001 Charles Schwab & Co., Inc., member NYSE/SIPC. All rights reserved. (0401-6450) The END:  The END Really.

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