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Exploring Personalized Command Recommendations based on Information Found in Web Documentation

Prior work on command recommendations for feature-rich software has relied on data supplied by a large community of users to generate personalized recommendations. In this work, we explore the feasibility of using an alternative data source: web documentation. Specifically, our approach uses QF-Graphs, a previously proposed technique that maps higher-level tasks (i.e., search queries) to commands referenced in online documentation. Our approach uses these command-to-task mappings as an automatically generated plan library, enabling our prototype system to make personalized recommendations for task-relevant commands. Through both offline and online evaluations, we explore potential benefits and drawbacks of this approach.

Khan, M. A. A., Dziubak, V., & Bunt, A. (2015, March). Exploring personalized command recommendations based on information found in Web documentation. In Proceedings of the 20th International Conference on Intelligent User Interfaces (pp. 225-235). ACM.

Bibtext Entry

@inproceedings{khan2015exploring,
  title={Exploring Personalized Command Recommendations based on Information Found in Web Documentation},
  author={Khan, Md Adnan Alam and Dziubak, Volodymyr and Bunt, Andrea},
  booktitle={Proceedings of the 20th International Conference on Intelligent User Interfaces},
  pages={225--235},
  year={2015},
  organization={ACM}
}

Authors

Adnan Alam Khan

Adnan Alam Khan

Alumni - Graduate
Andrea Bunt

Andrea Bunt

Associate Professor