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, I explored the feasibility of using an alternative data source: web documentation. Specifically, the proposed approach uses QF-Graphs, a previously introduced technique that maps higher-level tasks (i.e., search queries) to commands referenced in online documentation. The proposed 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, I explored potential benefits and drawbacks of this approach.
Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/30570 |
Date | January 2015 |
Creators | Khan, Md Adnan Alam |
Contributors | Bunt, Andrea (Computer Science), Wang, Yang (Computer Science) Morrison, Jason (Biosystems) |
Publisher | ACM |
Source Sets | University of Manitoba Canada |
Detected Language | English |
Page generated in 0.0055 seconds