Evaluating Recommended Applications

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rsse2008

The document discusses K9, a recommender system that helps developers find relevant open source applications by analyzing API documentation rather than source code or project descriptions. K9 uses help documents to identify relevant API calls for a user's query, then checks that the calls are logically connected based on the query concepts. This approach aims to more accurately link high-level user intents to implementation details. Future work includes automating more of the application analysis and expanding K9's scope beyond Java projects.

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