Feature Recommender : a large-scale in-situ study of proactive software feature recommendations
In this thesis, we describe our design of Feature Recommender, a Mozilla Firefox browser extension, which proactively recommends features that it predicts will benefit users based on their individual usage behaviors. The goal of these pop-up notifications is to help users discover new features. How...
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| Language: | English |
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University of British Columbia
2016
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| Online Access: | http://hdl.handle.net/2429/59761 |