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CommunityCommands

Amazon recommends books to its users. Netflix recommends movies. With CommunityCommands, Autodesk will recommend command functionality to its users. CommunityCommands collects usage data from thousands of Autodesk users, through the Customer Involvement Program (CIP), and then generates personalized command recommendations using newly developed algorithms. CommunityCommands will expose users to the critical commands which they should be using, but are not aware of, accelerating the learning process.

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User Interface Research

Overview

Amazon recommends books to its users. Netflix recommends movies. With CommunityCommands, Autodesk will recommend command functionality to its users. CommunityCommands collects usage data from thousands of Autodesk users, through the Customer Involvement Program (CIP), and then generates personalized command recommendations using newly developed algorithms. CommunityCommands will expose users to the critical commands which they should be using, but are not aware of, accelerating the learning process.

You too can install the CommunityCommands Recommender plug-in for AutoCAD. We recommend you check out more information at Autodesk Labs.

Publications
2 publications
Design and Evaluation of a Command Recommendation System for Software Applications

Wei Li, Justin Matejka, Tovi Grossman, Joe Konstan, George Fitzmaurice (2011)

Design and Evaluation of a Command Recommendation System for Software Applications
ACM Transactions on Computer-Human Interaction
June 2011, Volume 18, Issue 2, Article 6
38 pages
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Details
CommunityCommands: Command Recommendations for Software Applications

Justin Matejka, Wei Li, Tovi Grossman, George Fitzmaurice (2009)

CommunityCommands: Command Recommendations for Software Applications
UIST 2009 Conference proceedings:
ACM Symposium on User Interface Software & Technology
pp. 193-202
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Details
Project Members
  • George Fitzmaurice
  • Tovi Grossman
  • Justin Matejka
Alumni Members
  • Wei Li
  • Ruslana Steininger
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